PyPI: tensorflow-macos
CVE-2021-37640
Safety vulnerability ID: SFTY-20210812-34613
Safety legacy ID: pyup.io-58513
Tensorflow-macos 2.5.1 and 2.6.0 include a fix for CVE-2021-37640: In affected versions the implementation of 'tf.raw_ops.SparseReshape' can be made to trigger an integral division by 0 exception. The implementation (https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L176-L181) calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The reshape functor (https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L40-L78) blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. The Tensorflow team has patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41.
Overview
Integer division by 0 in sparse reshaping
Advisory
Tensorflow-macos 2.5.1 and 2.6.0 include a fix for CVE-2021-37640: In affected versions the implementation of 'tf.raw_ops.SparseReshape' can be made to trigger an integral division by 0 exception. The implementation (https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L176-L181) calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The reshape functor (https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L40-L78) blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. The Tensorflow team has patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41.
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-20210812-34613/CVE-2021-37640
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-95xm-g58g-3p88
- https://nvd.nist.gov/vuln/detail/CVE-2021-37640
- https://github.com/tensorflow/tensorflow/commit/4923de56ec94fff7770df259ab7f2288a74feb41
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-553.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-751.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-262.yaml
- https://github.com/advisories/GHSA-95xm-g58g-3p88
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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