PyPI: tensorflow-rocm
CVE-2021-37691
Safety vulnerability ID: SFTY-20210812-16193
Safety legacy ID: pyup.io-57818
Tensorflow-rocm 2.3.4, 2.4.3, 2.5.1 and 2.6.0 include a fix for CVE-2021-37691: In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). The Tensorflow team has patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9.
Overview
FPE in LSH in TFLite
Advisory
Tensorflow-rocm 2.3.4, 2.4.3, 2.5.1 and 2.6.0 include a fix for CVE-2021-37691: In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). The Tensorflow team has patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9.
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-20210812-16193/CVE-2021-37691
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27qf-jwm8-g7f3
- https://nvd.nist.gov/vuln/detail/CVE-2021-37691
- https://github.com/tensorflow/tensorflow/commit/0575b640091680cfb70f4dd93e70658de43b94f9
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-604.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-802.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-313.yaml
- https://github.com/advisories/GHSA-27qf-jwm8-g7f3
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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