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

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Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

  • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
    • requirements/frameworks.txt
⚠️ Warning
Keras-Preprocessing 1.1.2 requires numpy, which is not installed.
importlib-metadata 1.7.0 requires zipp, which is not installed.
h5py 2.10.0 requires numpy, which is not installed.
google-auth 1.20.1 requires rsa, which is not installed.

Vulnerabilities that will be fixed

By pinning:
Severity Priority Score (*) Issue Upgrade Breaking Change Exploit Maturity
low severity 506/1000
Why? Proof of Concept exploit, Has a fix available, CVSS 3.7
NULL Pointer Dereference
SNYK-PYTHON-NUMPY-2321964
numpy:
1.21.3 -> 1.22.2
No Proof of Concept
low severity 399/1000
Why? Has a fix available, CVSS 3.7
Buffer Overflow
SNYK-PYTHON-NUMPY-2321966
numpy:
1.21.3 -> 1.22.2
No No Known Exploit
low severity 506/1000
Why? Proof of Concept exploit, Has a fix available, CVSS 3.7
Denial of Service (DoS)
SNYK-PYTHON-NUMPY-2321970
numpy:
1.21.3 -> 1.22.2
No Proof of Concept

(*) Note that the real score may have changed since the PR was raised.

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.

Check the changes in this PR to ensure they won't cause issues with your project.


Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information:
🧐 View latest project report

🛠 Adjust project settings

📚 Read more about Snyk's upgrade and patch logic


Learn how to fix vulnerabilities with free interactive lessons:

🦉 NULL Pointer Dereference
🦉 Denial of Service (DoS)

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