Safety CI > JaneliaSciComp/PyWaveSurfer

develop

3 years, 3 months ago

4fa1aa3e

Merge pull request #158 from JaneliaSciComp/pyup-update-pytest-flake8-1.1.0-to-1.1.1 Update pytest-

No dependencies with known security vulnerabilities.

develop

3 years, 3 months ago

d79e9e34

Merge pull request #157 from JaneliaSciComp/pyup-update-numpy-1.23.2-to-1.23.3 Update numpy to 1.23

No dependencies with known security vulnerabilities.

pyup-update-numpy-1.23.2-to-1.23.3

3 years, 3 months ago

150e0866

Merge branch 'develop' into pyup-update-numpy-1.23.2-to-1.23.3

No dependencies with known security vulnerabilities.

pyup-update-pytest-flake8-1.1.0-to-1.1.1

3 years, 3 months ago

f40e51b0

Update pytest-flake8 from 1.1.0 to 1.1.1

No dependencies with known security vulnerabilities.

develop

3 years, 3 months ago

aedb1b36

Merge pull request #151 from JaneliaSciComp/pyup-update-h5py-3.6.0-to-3.7.0 Update h5py to 3.7.0

No dependencies with known security vulnerabilities.

pyup-update-pytest-flake8-1.0.7-to-1.1.0

3 years, 3 months ago

67f24a41

Merge branch 'develop' into pyup-update-pytest-flake8-1.0.7-to-1.1.0

No dependencies with known security vulnerabilities.

develop

3 years, 3 months ago

6e79ea18

Merge pull request #145 from JaneliaSciComp/pyup-update-pytest-flake8-1.0.7-to-1.1.0 Update pytest-

No dependencies with known security vulnerabilities.

pyup-update-h5py-3.6.0-to-3.7.0

3 years, 3 months ago

35c5b8ac

Merge branch 'develop' into pyup-update-h5py-3.6.0-to-3.7.0

No dependencies with known security vulnerabilities.

pyup-update-numpy-1.23.2-to-1.23.3

3 years, 3 months ago

40d414bd

Update numpy from 1.23.2 to 1.23.3

No dependencies with known security vulnerabilities.

pyup-update-numpy-1.23.2-to-1.23.3

3 years, 3 months ago

b543063f

Update numpy from 1.23.2 to 1.23.3

No dependencies with known security vulnerabilities.

develop

3 years, 3 months ago

a3c5b5e7

Merge pull request #155 from JaneliaSciComp/pyup-update-numpy-1.21.5-to-1.23.2 Update numpy to 1.23

No dependencies with known security vulnerabilities.

develop

3 years, 3 months ago

35aaf460

Merge pull request #156 from JaneliaSciComp/pyup-update-pytest-7.1.2-to-7.1.3 Update pytest to 7.1.

numpy 1.21.5 and numpy 1.21.5 have known security vulnerabilities.

Package	Installed	Affected	Info
numpy	1.21.5	<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
numpy	1.21.5	<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	1.21.5	<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	1.21.5	<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
numpy	1.21.5	<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	1.21.5	<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.

pyup-update-numpy-1.21.5-to-1.23.3

3 years, 3 months ago

7e5a04e8

Update numpy from 1.21.5 to 1.23.3

No dependencies with known security vulnerabilities.

pyup-update-numpy-1.21.5-to-1.23.3

3 years, 3 months ago

67080ac0

Update numpy from 1.21.5 to 1.23.3

numpy 1.21.5 has known security vulnerabilities.

Package

Installed

Affected

Info

numpy

1.21.5

<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

numpy

1.21.5

<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

1.21.5

<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.

pyup-update-pytest-7.1.2-to-7.1.3

3 years, 3 months ago

24e6e62e

Update pytest from 7.1.2 to 7.1.3

numpy 1.21.5 and numpy 1.21.5 have known security vulnerabilities.

Package	Installed	Affected	Info
numpy	1.21.5	<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
numpy	1.21.5	<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	1.21.5	<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	1.21.5	<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
numpy	1.21.5	<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	1.21.5	<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.