[Snyk] Security upgrade numpy from 1.21.3 to 1.22.2#18
[Snyk] Security upgrade numpy from 1.21.3 to 1.22.2#18
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The following vulnerabilities are fixed by pinning transitive dependencies: - https://snyk.io/vuln/SNYK-PYTHON-NUMPY-2321964 - https://snyk.io/vuln/SNYK-PYTHON-NUMPY-2321966 - https://snyk.io/vuln/SNYK-PYTHON-NUMPY-2321970
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Security Update Review
This PR addresses critical security vulnerabilities in numpy by upgrading to version 1.22.2. The changes look appropriate, but there are a few important considerations:
- The numpy upgrade is necessary to address multiple security vulnerabilities including NULL pointer dereference and out-of-bounds operations.
- The pandas package should have version constraints to ensure compatibility with the upgraded numpy version.
- Testing is recommended to verify that the numpy upgrade doesn't introduce compatibility issues with existing functionality.
Overall, this security update is important and should be merged after addressing the version constraint recommendation for pandas.
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| pandas | |||
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🛑 [Dependency Management]: The pandas package should specify a version constraint to prevent potential compatibility issues and security vulnerabilities. Consider using pandas>=1.3.5,<2.0.0.
| pandas | ||
| ast2json>=0.2,<0.3 | ||
| graphviz>=0.13,<0.14 No newline at end of file | ||
| graphviz>=0.13,<0.14 |
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🛑 [Security]: The numpy upgrade is critical to address multiple security vulnerabilities123. However, ensure that this version is compatible with your pandas dependency.
Footnotes
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CWE-476: NULL Pointer Dereference - https://cwe.mitre.org/data/definitions/476.html ↩
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CWE-787: Out-of-bounds Write - https://cwe.mitre.org/data/definitions/787.html ↩
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CWE-125: Out-of-bounds Read - https://cwe.mitre.org/data/definitions/125.html ↩
Snyk has created this PR to fix 3 vulnerabilities in the pip dependencies of this project.
Snyk changed the following file(s):
requirements.txtImportant
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🦉 NULL Pointer Dereference