Safety CI > Hugovdberg/PIconnect

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

c5f7605a

Update rfc3986 from 1.5.0 to 2.0.0

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

bd8af8f8

Update restructuredtext-lint from 1.3.2 to 1.4.0

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

90d03e7d

Update requests from 2.26.0 to 2.27.1

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

79628419

Update pytz from 2021.3 to 2022.1

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

26fca3a1

Update pytest from 6.2.5 to 7.1.1

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

e3a48ddb

Update pyparsing from 3.0.6 to 3.0.7

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

f88278a0

Update pylint from 2.12.2 to 2.13.4

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

97a578f8

Update readme-renderer from 32.0 to 34.0

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

7210c795

Update pygments from 2.10.0 to 2.11.2

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

b101a135

Update platformdirs from 2.4.0 to 2.5.1

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

8fc9b05c

Update pbr from 5.8.0 to 5.8.1

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

9d025857

Update pandas from 1.3.5 to 1.4.2

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

749e6245

Update numpy from 1.21.4 to 1.22.3

No dependencies with known security vulnerabilities.

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

8592f277

Update markupsafe from 2.0.1 to 2.1.1

numpy 1.21.4 has known security vulnerabilities.

Package	Installed	Affected	Info
numpy	1.21.4	>=1.4.1,<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. NOTE2: The specs we include in this advisory differ from the publicly available on other sources. For example, the advisory posted by the NVD indicate that versions up to and including 1.19.0 are affected. However, research by Safety CLI Cybersecurity confirms that the vulnerability remained unaddressed until version 1.22.2.
numpy	1.21.4	<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	1.21.4	<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

Package

Installed

Affected

Info

numpy

1.21.4

>=1.4.1,<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.
NOTE2: The specs we include in this advisory differ from the publicly available on other sources. For example, the advisory posted by the NVD indicate that versions up to and including 1.19.0 are affected. However, research by Safety CLI Cybersecurity confirms that the vulnerability remained unaddressed until version 1.22.2.

numpy

1.21.4

<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

1.21.4

<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

pyup/scheduled-update-2022-04-04

4 years, 1 month ago

53be8ee5

Update mccabe from 0.6.1 to 0.7.0

numpy 1.21.4 has known security vulnerabilities.

Package	Installed	Affected	Info
numpy	1.21.4	>=1.4.1,<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. NOTE2: The specs we include in this advisory differ from the publicly available on other sources. For example, the advisory posted by the NVD indicate that versions up to and including 1.19.0 are affected. However, research by Safety CLI Cybersecurity confirms that the vulnerability remained unaddressed until version 1.22.2.
numpy	1.21.4	<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	1.21.4	<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

Package

Installed

Affected

Info

numpy

1.21.4

>=1.4.1,<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.
NOTE2: The specs we include in this advisory differ from the publicly available on other sources. For example, the advisory posted by the NVD indicate that versions up to and including 1.19.0 are affected. However, research by Safety CLI Cybersecurity confirms that the vulnerability remained unaddressed until version 1.22.2.

numpy

1.21.4

<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

1.21.4

<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