Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Pillow is potentially vulnerable to DoS attacks through PIL.ImageFont.ImageFont.getmask(). A decompression bomb check has also been added to the affected function.

Pillow is affected by an arbitrary code execution vulnerability. If an attacker has control over the keys passed to the environment argument of PIL.ImageMath.eval(), they may be able to execute arbitrary code.
https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html

Pillow 10.0.1 updates its C dependency 'libwebp' to 1.3.2 to include a fix for a high-risk vulnerability.
https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html

Pillow 10.3.0 introduces a security update addressing CVE-2024-28219 by replacing certain functions with strncpy to prevent buffer overflow issues.

Pillow 10.0.0 includes a fix for CVE-2023-44271: Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.
https://github.com/python-pillow/Pillow/pull/7244

Affected versions of the pillow package are vulnerable to Integer Overflow due to unchecked accumulation of glyph advance values while tracking the current rendering position during font processing. When a font supplies an excessively large advance for each glyph, the running position counter wraps around because the arithmetic is performed in a fixed-width integer type that cannot represent the resulting magnitude. A remote attacker who can supply a crafted font file to a target that uses Pillow's font rendering can trigger the overflow, leading to incorrect memory calculations and potential memory corruption.

Affected versions of the pillow package are vulnerable to Denial of Service due to an unbounded loop when traversing PDF cross-reference trailer chains without cycle detection. The PdfParser module follows Prev pointers in PDF trailers to read cross-reference sections, but it does not track previously processed offsets, so a trailer whose Prev pointer references its own offset or forms a longer cycle causes the parser to loop indefinitely. A remote attacker who supplies a crafted PDF document can cause the parsing process to hang, consuming 100% CPU and rendering the consuming application unresponsive.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Django fixes a potential denial-of-service vulnerability in XML ``Deserializer``.

Affected versions of the Django package are vulnerable to Path Traversal due to improper validation of archive member paths during extraction. The django.utils.archive.extract() function—used by the startapp --template and startproject --template commands—checked path prefixes instead of using canonicalised paths, allowing archive entries whose names share a prefix with the destination to resolve outside the intended directory.

Affected versions of Django are vulnerable to a potential denial-of-service in django.utils.text.wrap(). The django.utils.text.wrap() and wordwrap template filter were subject to a potential denial-of-service attack when used with very long strings.

An issue was discovered in Django 5.2 before 5.2.3, 5.1 before 5.1.11, and 4.2 before 4.2.23. Internal HTTP response logging does not escape request.path, which allows remote attackers to potentially manipulate log output via crafted URLs. This may lead to log injection or forgery when logs are viewed in terminals or processed by external systems.

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient input sanitization in FilteredRelation column aliases. The FilteredRelation class fails to properly validate or escape column alias names when they are provided through dictionary expansion as keyword arguments to QuerySet.annotate() or QuerySet.alias() methods, allowing malicious SQL code to be injected directly into the generated database queries.

An issue was discovered in Django 5.1 before 5.1.8 and 5.0 before 5.0.14. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.views.LoginView, django.contrib.auth.views.LogoutView, and django.views.i18n.set_language are subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters.

Affected versions of the Django package are vulnerable to SQL Injection due to insufficient neutralization of user-controlled column alias names provided via dictionary expansion. The QuerySet.annotate(), QuerySet.alias(), QuerySet.aggregate(), and QuerySet.extra() methods accept **kwargs whose keys are used as column aliases, and on MySQL and MariaDB, those identifiers are not safely quoted, permitting crafted input to be incorporated into the generated SQL.

Django fixes potential SQL injection in ``FilteredRelation`` column aliases on PostgreSQL.

CVE-2025-64459: Affected versions of the Django package are vulnerable to SQL Injection due to improper input validation, allowing the internal _connector keyword argument to be accepted from untrusted dictionaries via expansion. The .filter(), .exclude(), and .get() methods on QuerySet, as well as the Q class, resolve **kwargs and will treat a supplied _connector value as the logical connector without constraining it to the expected set (AND/OR), permitting attacker-controlled tokens to influence SQL predicate construction.

CVE-2025-64458: Affected versions of the Django package are vulnerable to Denial of Service (DoS) due to slow Unicode NFKC normalization on Windows being applied to untrusted inputs. The django.contrib.auth.views.LoginView and django.contrib.auth.views.LogoutView, and django.views.i18n.set_language normalize user-controlled strings using Python’s NFKC algorithm, which is unusually slow on Windows for huge Unicode sequences and can be triggered to consume excessive CPU.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of the requests package are vulnerable to Insecure Temporary File reuse due to predictable temporary filename generation in extract_zipped_paths(). The requests.utils.extract_zipped_paths() utility extracts files from zip archives into the system temporary directory using a deterministic path, and if that file already exists, the function reuses it without validating that it is the expected extracted content.

Requests is an HTTP library. Due to a URL parsing issue, Requests releases prior to 2.32.4 may leak .netrc credentials to third parties for specific maliciously-crafted URLs. Users should upgrade to version 2.32.4 to receive a fix. For older versions of Requests, use of the .netrc file can be disabled with `trust_env=False` on one's Requests Session.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.

Affected versions of django-stubs are potentially vulnerable to Security Misconfiguration. The inclusion of type stubs for deprecated and insecure password hashers (MD5PasswordHasher, SHA1PasswordHasher, and CryptPasswordHasher) may inadvertently encourage their use in Django applications. This can lead to the storage of user passwords using weak hashing algorithms, making them susceptible to brute-force attacks.