Vulnerability · Published Sep 16, 2022 · Assigned by GitHub_M

CVE-2022-35972Segfault in `QuantizedBiasAdd` in TensorFlow

Medium 5.9

In plain English

A medium-severity improper input validation in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 43% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.9Medium
Exploit odds (30 days)0.5%top 57.5% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `min_bias`, `max_bias` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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 packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.7.2, 2.8.1, 2.9.1PYSEC-2026-3101
PyPItensorflow2.7.2GHSA-4pc4-m9mj-v2r9
PyPItensorflow2.8.1GHSA-4pc4-m9mj-v2r9
PyPItensorflow2.9.1GHSA-4pc4-m9mj-v2r9
PyPItensorflow-cpu2.8.1GHSA-4pc4-m9mj-v2r9
PyPItensorflow-cpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-3272
PyPItensorflow-cpu2.7.2GHSA-4pc4-m9mj-v2r9
PyPItensorflow-cpu2.9.1GHSA-4pc4-m9mj-v2r9
PyPItensorflow-gpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-948
PyPItensorflow-gpu2.7.2GHSA-4pc4-m9mj-v2r9
PyPItensorflow-gpu2.8.1GHSA-4pc4-m9mj-v2r9
PyPItensorflow-gpu2.9.1GHSA-4pc4-m9mj-v2r9

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.7.2>= 2.8.0, < 2.8.1>= 2.9.0, < 2.9.1

Weakness: CWE-20 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

References