CVE-2022-35973

Improper Input Validation in pypi/tensorflow

Identifiers

CVE-2022-35973, GHSA-689c-r7h2-fv9v

Package Slug

pypi/tensorflow

Vulnerability

Improper Input Validation

Description

TensorFlow is an open source platform for machine learning. If QuantizedMatMul is given nonscalar input for: min_a, max_a, min_b, or max_b It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Affected Versions

All versions starting from 2.7.0 before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1, version 2.10

Solution

Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.

Last Modified

2022-09-19

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