PyPI: tensorflow-rocm-enhanced
CVE-2021-29540
Safety vulnerability ID: SFTY-20210514-52013
Safety legacy ID: pyup.io-58141
Tensorflow-rocm-enhanced 2.1.4, 2.2.3, 2.3.3 and 2.4.2 include a fix for CVE-2021-29540: TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow to occur in 'Conv2DBackpropFilter'. This is because the implementation (https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L495-L497) computes the size of the filter tensor but does not validate that it matches the number of elements in 'filter_sizes'. Later, when reading/writing to this buffer, code uses the value computed here, instead of the number of elements in the tensor.
Overview
Heap buffer overflow in `Conv2DBackpropFilter`
Advisory
Tensorflow-rocm-enhanced 2.1.4, 2.2.3, 2.3.3 and 2.4.2 include a fix for CVE-2021-29540: TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow to occur in 'Conv2DBackpropFilter'. This is because the implementation (https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L495-L497) computes the size of the filter tensor but does not validate that it matches the number of elements in 'filter_sizes'. Later, when reading/writing to this buffer, code uses the value computed here, instead of the number of elements in the tensor.
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-20210514-52013/CVE-2021-29540
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xgc3-m89p-vr3x
- https://nvd.nist.gov/vuln/detail/CVE-2021-29540
- https://github.com/tensorflow/tensorflow/commit/c570e2ecfc822941335ad48f6e10df4e21f11c96
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-468.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-666.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-177.yaml
- https://github.com/advisories/GHSA-xgc3-m89p-vr3x
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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