Vulnerability · Published Sep 16, 2022 · Assigned by GitHub_M

CVE-2022-35979Segfault in `QuantizedRelu` and `QuantizedRelu6`

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 44% 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 56.3% 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 `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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
PyPItensorflow2.9.1GHSA-v7vw-577f-vp8x
PyPItensorflow2.8.1GHSA-v7vw-577f-vp8x
PyPItensorflow2.7.2GHSA-v7vw-577f-vp8x
PyPItensorflow2.7.2, 2.8.1, 2.9.1PYSEC-2026-3245
PyPItensorflow-cpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-3372
PyPItensorflow-cpu2.7.2GHSA-v7vw-577f-vp8x
PyPItensorflow-cpu2.8.1GHSA-v7vw-577f-vp8x
PyPItensorflow-cpu2.9.1GHSA-v7vw-577f-vp8x
PyPItensorflow-gpu2.9.1GHSA-v7vw-577f-vp8x
PyPItensorflow-gpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-1038
PyPItensorflow-gpu2.8.1GHSA-v7vw-577f-vp8x
PyPItensorflow-gpu2.7.2GHSA-v7vw-577f-vp8x

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