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Vulnerability · Published Sep 16, 2022 · Assigned by GitHub_M

CVE-2022-35969`CHECK` fail in `Conv2DBackpropInput` 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 40% 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 59.8% 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. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. 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-q2c3-jpmc-gfjx
PyPItensorflow2.8.1GHSA-q2c3-jpmc-gfjx
PyPItensorflow2.7.2GHSA-q2c3-jpmc-gfjx
PyPItensorflow2.7.2, 2.8.1, 2.9.1PYSEC-2026-3227
PyPItensorflow-cpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-3360
PyPItensorflow-cpu2.7.2GHSA-q2c3-jpmc-gfjx
PyPItensorflow-cpu2.8.1GHSA-q2c3-jpmc-gfjx
PyPItensorflow-cpu2.9.1GHSA-q2c3-jpmc-gfjx
PyPItensorflow-gpu2.9.1GHSA-q2c3-jpmc-gfjx
PyPItensorflow-gpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-1028
PyPItensorflow-gpu2.8.1GHSA-q2c3-jpmc-gfjx
PyPItensorflow-gpu2.7.2GHSA-q2c3-jpmc-gfjx

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