PyPI: tensorflow-macos
CVE-2022-23567
Safety vulnerability ID: SFTY-20220203-11550
Safety legacy ID: pyup.io-58410
Tensorflow-macos versions 2.5.3, 2.6.3, 2.7.1 and 2.8.0 include a fix for CVE-2022-23567: The implementations of 'Sparse*Cwise*' ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or 'CHECK'-fails when building new 'TensorShape' objects (so, assert failures based denial of service). There are missing some validation on the shapes of the input tensors as well as directly constructing a large 'TensorShape' with user-provided dimensions. https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrx2-r989-2c43
Overview
Integer overflows in Tensorflow
Advisory
Tensorflow-macos versions 2.5.3, 2.6.3, 2.7.1 and 2.8.0 include a fix for CVE-2022-23567: The implementations of 'Sparse*Cwise*' ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or 'CHECK'-fails when building new 'TensorShape' objects (so, assert failures based denial of service). There are missing some validation on the shapes of the input tensors as well as directly constructing a large 'TensorShape' with user-provided dimensions. https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrx2-r989-2c43
Affected Package
Also affects
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How to Fix
Mitigation and Workarounds
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Vulnerable Functions
Functions linked to known vulnerabilities.
References
- https://getsafety.com/vulnerabilities/SFTY-20220203-11550/CVE-2022-23567
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrx2-r989-2c43
- https://github.com/tensorflow/tensorflow/commit/1b54cadd19391b60b6fcccd8d076426f7221d5e8
- https://github.com/tensorflow/tensorflow/commit/e952a89b7026b98fe8cbe626514a93ed68b7c510
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md
- https://nvd.nist.gov/vuln/detail/CVE-2022-23567
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-76.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-131.yaml
- https://github.com/advisories/GHSA-rrx2-r989-2c43
Verified by Safety
Our Cybersecurity Intelligence Team reviewed this vulnerability. We combine public data with our own research to find issues not yet reported to public sources.
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