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[Snyk] Security upgrade numpy from 1.21.3 to 1.22.2#18

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[Snyk] Security upgrade numpy from 1.21.3 to 1.22.2#18
rmazzine wants to merge 1 commit intomasterfrom
snyk-fix-387779594fefc060b50c8c84e07fbccf

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@rmazzine rmazzine commented Sep 3, 2025

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Snyk has created this PR to fix 3 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

  • requirements.txt
⚠️ Warning
pandas 1.3.5 requires numpy, which is not installed.

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  • Max score is 1000. Note that the real score may have changed since the PR was raised.
  • This PR was automatically created by Snyk using the credentials of a real user.
  • Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

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🦉 NULL Pointer Dereference

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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:

  1. The numpy upgrade is necessary to address multiple security vulnerabilities including NULL pointer dereference and out-of-bounds operations.
  2. The pandas package should have version constraints to ensure compatibility with the upgraded numpy version.
  3. 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.

@@ -1,3 +1,4 @@
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

  1. CWE-476: NULL Pointer Dereference - https://cwe.mitre.org/data/definitions/476.html

  2. CWE-787: Out-of-bounds Write - https://cwe.mitre.org/data/definitions/787.html

  3. CWE-125: Out-of-bounds Read - https://cwe.mitre.org/data/definitions/125.html

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