Vulnerability · Published Sep 16, 2022 · Assigned by GitHub_M

CVE-2022-36026`CHECK` fail in `QuantizeAndDequantizeV3` in TensorFlow

Medium 5.9

In plain English

A medium-severity security flaw 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 41% 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 58.6% 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 `QuantizeAndDequantizeV3` is given a nonscalar `num_bits` input tensor, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713. 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-2026-3149
PyPItensorflow2.7.2GHSA-9cr2-8pwr-fhfq
PyPItensorflow2.8.1GHSA-9cr2-8pwr-fhfq
PyPItensorflow2.9.1GHSA-9cr2-8pwr-fhfq
PyPItensorflow-cpu2.8.1GHSA-9cr2-8pwr-fhfq
PyPItensorflow-cpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-3304
PyPItensorflow-cpu2.7.2GHSA-9cr2-8pwr-fhfq
PyPItensorflow-cpu2.9.1GHSA-9cr2-8pwr-fhfq
PyPItensorflow-gpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-976
PyPItensorflow-gpu2.7.2GHSA-9cr2-8pwr-fhfq
PyPItensorflow-gpu2.8.1GHSA-9cr2-8pwr-fhfq
PyPItensorflow-gpu2.9.1GHSA-9cr2-8pwr-fhfq

Affected products (as reported)

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

Weakness: CWE-617 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

References