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OpenAdvisories
Medium · 6.5 CVE-2022-21737 BIT-tensorflow-2022-21737EUVD-2022-0300GHSA-f2vv-v9cg-qhh7PYSEC-2022-116PYSEC-2022-61PYSEC-2026-3164

Assertion failure based denial of service in Tensorflow

Published Feb 3, 2022 · Updated May 5, 2025 · Assigned by GitHub_M

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.5.3 2.5.3 GHSA-f2vv-v9cg-qhh7
PyPI tensorflow >= 2.6.0, < 2.6.3 2.6.3 GHSA-f2vv-v9cg-qhh7
PyPI tensorflow >= 2.7.0, < 2.7.1 2.7.1 GHSA-f2vv-v9cg-qhh7
PyPI tensorflow < 2.5.3 · >= 2.6.0, < 2.6.3 · >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1 PYSEC-2026-3164
PyPI tensorflow-cpu < 2.5.3 2.5.3 GHSA-f2vv-v9cg-qhh7
PyPI tensorflow-cpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-f2vv-v9cg-qhh7
PyPI tensorflow-cpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-f2vv-v9cg-qhh7
PyPI tensorflow-cpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-61
PyPI tensorflow-gpu < 2.5.3 2.5.3 GHSA-f2vv-v9cg-qhh7
PyPI tensorflow-gpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-f2vv-v9cg-qhh7
PyPI tensorflow-gpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-f2vv-v9cg-qhh7
PyPI tensorflow-gpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-116

References