pyup-update-pytest-5.0.1-to-8.2.0
4 days, 13 hours ago
Update pytest from 5.0.1 to 8.2.0
click 7.0, black 19.3b0, numpy 1.16.4 and 3 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| black | 19.3b0 | <24.3.0 |
show Black before 24.3.0 have a security vulnerability where specific code formatting patterns could lead to arbitrary code execution. This issue arises from the unsafe handling of AST nodes, potentially allowing an attacker to execute code when Black formats a maliciously crafted Python file. https://github.com/psf/black/commit/f00093672628d212b8965a8993cee8bedf5fe9b8 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-tox-3.13.2-to-4.15.0
6 days, 3 hours ago
Update tox from 3.13.2 to 4.15.0
click 7.0, black 19.3b0, numpy 1.16.4 and 3 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| black | 19.3b0 | <24.3.0 |
show Black before 24.3.0 have a security vulnerability where specific code formatting patterns could lead to arbitrary code execution. This issue arises from the unsafe handling of AST nodes, potentially allowing an attacker to execute code when Black formats a maliciously crafted Python file. https://github.com/psf/black/commit/f00093672628d212b8965a8993cee8bedf5fe9b8 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-pytest-5.0.1-to-8.1.2
6 days, 3 hours ago
Update pytest from 5.0.1 to 8.1.2
click 7.0, black 19.3b0, numpy 1.16.4 and 3 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| black | 19.3b0 | <24.3.0 |
show Black before 24.3.0 have a security vulnerability where specific code formatting patterns could lead to arbitrary code execution. This issue arises from the unsafe handling of AST nodes, potentially allowing an attacker to execute code when Black formats a maliciously crafted Python file. https://github.com/psf/black/commit/f00093672628d212b8965a8993cee8bedf5fe9b8 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-black-19.3b0-to-24.4.2
1 week ago
Update black from 19.3b0 to 24.4.2
click 7.0, numpy 1.16.4, wheel 0.33.4 and 2 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-black-19.3b0-to-24.4.1
1 week, 1 day ago
Update black from 19.3b0 to 24.4.1
click 7.0, numpy 1.16.4, wheel 0.33.4 and 2 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-coverage-4.5.3-to-7.5.0
1 week, 1 day ago
Update coverage from 4.5.3 to 7.5.0
click 7.0, black 19.3b0, numpy 1.16.4 and 3 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| black | 19.3b0 | <24.3.0 |
show Black before 24.3.0 have a security vulnerability where specific code formatting patterns could lead to arbitrary code execution. This issue arises from the unsafe handling of AST nodes, potentially allowing an attacker to execute code when Black formats a maliciously crafted Python file. https://github.com/psf/black/commit/f00093672628d212b8965a8993cee8bedf5fe9b8 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-sphinx-2.1.2-to-7.3.7
1 week, 6 days ago
Update sphinx from 2.1.2 to 7.3.7
click 7.0, black 19.3b0, numpy 1.16.4 and 2 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| black | 19.3b0 | <24.3.0 |
show Black before 24.3.0 have a security vulnerability where specific code formatting patterns could lead to arbitrary code execution. This issue arises from the unsafe handling of AST nodes, potentially allowing an attacker to execute code when Black formats a maliciously crafted Python file. https://github.com/psf/black/commit/f00093672628d212b8965a8993cee8bedf5fe9b8 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-sphinx-2.1.2-to-7.3.6
2 weeks ago
Update sphinx from 2.1.2 to 7.3.6
click 7.0, black 19.3b0, numpy 1.16.4 and 2 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| black | 19.3b0 | <24.3.0 |
show Black before 24.3.0 have a security vulnerability where specific code formatting patterns could lead to arbitrary code execution. This issue arises from the unsafe handling of AST nodes, potentially allowing an attacker to execute code when Black formats a maliciously crafted Python file. https://github.com/psf/black/commit/f00093672628d212b8965a8993cee8bedf5fe9b8 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-sphinx-2.1.2-to-7.3.5
2 weeks, 1 day ago
Update sphinx from 2.1.2 to 7.3.5
click 7.0, black 19.3b0, numpy 1.16.4 and 2 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| black | 19.3b0 | <24.3.0 |
show Black before 24.3.0 have a security vulnerability where specific code formatting patterns could lead to arbitrary code execution. This issue arises from the unsafe handling of AST nodes, potentially allowing an attacker to execute code when Black formats a maliciously crafted Python file. https://github.com/psf/black/commit/f00093672628d212b8965a8993cee8bedf5fe9b8 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-black-19.3b0-to-24.4.0
2 weeks, 6 days ago
Update black from 19.3b0 to 24.4.0
click 7.0, numpy 1.16.4, wheel 0.33.4 and 2 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-matplotlib-3.1.1-to-3.8.4
4 weeks, 1 day ago
Update matplotlib from 3.1.1 to 3.8.4
click 7.0, black 19.3b0, numpy 1.16.4 and 3 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| black | 19.3b0 | <24.3.0 |
show Black before 24.3.0 have a security vulnerability where specific code formatting patterns could lead to arbitrary code execution. This issue arises from the unsafe handling of AST nodes, potentially allowing an attacker to execute code when Black formats a maliciously crafted Python file. https://github.com/psf/black/commit/f00093672628d212b8965a8993cee8bedf5fe9b8 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-pytest-cov-2.7.1-to-5.0.0
1 month, 1 week ago
Update pytest-cov from 2.7.1 to 5.0.0
click 7.0, black 19.3b0, numpy 1.16.4 and 3 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| black | 19.3b0 | <24.3.0 |
show Black before 24.3.0 have a security vulnerability where specific code formatting patterns could lead to arbitrary code execution. This issue arises from the unsafe handling of AST nodes, potentially allowing an attacker to execute code when Black formats a maliciously crafted Python file. https://github.com/psf/black/commit/f00093672628d212b8965a8993cee8bedf5fe9b8 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-tox-3.13.2-to-4.14.2
1 month, 1 week ago
Update tox from 3.13.2 to 4.14.2
click 7.0, black 19.3b0, numpy 1.16.4 and 3 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| black | 19.3b0 | <24.3.0 |
show Black before 24.3.0 have a security vulnerability where specific code formatting patterns could lead to arbitrary code execution. This issue arises from the unsafe handling of AST nodes, potentially allowing an attacker to execute code when Black formats a maliciously crafted Python file. https://github.com/psf/black/commit/f00093672628d212b8965a8993cee8bedf5fe9b8 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-black-19.3b0-to-24.3.0
1 month, 2 weeks ago
Update black from 19.3b0 to 24.3.0
click 7.0, numpy 1.16.4, wheel 0.33.4 and 2 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
pyup-update-coverage-4.5.3-to-7.4.4
1 month, 2 weeks ago
Update coverage from 4.5.3 to 7.4.4
click 7.0, numpy 1.16.4, wheel 0.33.4 and 2 other dependencies have known security vulnerabilities.
| Package | Installed | Affected | Info |
|---|---|---|---|
| click | 7.0 | <8.0.0 |
show Click 8.0.0 uses 'mkstemp()' instead of the deprecated & insecure 'mktemp()'. https://github.com/pallets/click/issues/1752 |
| numpy | 1.16.4 | <1.21.0rc1 |
show Numpy 1.21.0rc1 includes a fix for CVE-2021-33430: A Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulnerability. In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user. https://github.com/numpy/numpy/issues/18939 |
| numpy | 1.16.4 | <1.22.2 |
show Numpy 1.22.2 includes a fix for CVE-2021-41495: Null Pointer Dereference vulnerability exists in numpy.sort in NumPy in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place. https://github.com/numpy/numpy/issues/19038 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-34141: An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless." https://github.com/numpy/numpy/issues/18993 |
| numpy | 1.16.4 | <1.22.0 |
show Numpy 1.22.0 includes a fix for CVE-2021-41496: Buffer overflow in the array_from_pyobj function of fortranobject.c, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally). https://github.com/numpy/numpy/issues/19000 |
| wheel | 0.33.4 | <0.38.1 |
show Wheel 0.38.1 includes a fix for CVE-2022-40898: An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli. https://pyup.io/posts/pyup-discovers-redos-vulnerabilities-in-top-python-packages |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.0.4 |
show Sphinx 3.0.4 updates jQuery version from 3.4.1 to 3.5.1 for security reasons. |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in inventory. https://github.com/sphinx-doc/sphinx/issues/8175 https://github.com/sphinx-doc/sphinx/commit/f7b872e673f9b359a61fd287a7338a28077840d2 |
| Sphinx | 2.1.2 | <3.3.0 |
show Sphinx 3.3.0 includes a fix for a ReDoS vulnerability in docstring. https://github.com/sphinx-doc/sphinx/issues/8172 https://github.com/sphinx-doc/sphinx/commit/f00e75278c5999f40b214d8934357fbf0e705417 |
| twine | 1.13.0 | <2.0.0 |
show Twine 2.0.0 updates requests to 2.20 (or later) to include a security fix. |
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