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Vulnerability · Published Feb 3, 2022 · Assigned by GitHub_M

CVE-2022-21730Out of bounds read in Tensorflow

High 8.1

In plain English

A high-severity out-of-bounds read in the tensorflow package (PyPI). Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.8% (higher than 57% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)8.1High
Exploit odds (30 days)0.8%top 42.5% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official description

Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.5.3GHSA-vjg4-v33c-ggc4
PyPItensorflow2.6.3GHSA-vjg4-v33c-ggc4
PyPItensorflow2.7.1GHSA-vjg4-v33c-ggc4
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3247
PyPItensorflow-cpu2.6.3GHSA-vjg4-v33c-ggc4
PyPItensorflow-cpu2.7.1GHSA-vjg4-v33c-ggc4
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-54
PyPItensorflow-cpu2.5.3GHSA-vjg4-v33c-ggc4
PyPItensorflow-gpu2.7.1GHSA-vjg4-v33c-ggc4
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-109
PyPItensorflow-gpu2.5.3GHSA-vjg4-v33c-ggc4
PyPItensorflow-gpu2.6.3GHSA-vjg4-v33c-ggc4

Affected products (as reported)

VendorProductVersions
n/a n/a n/a

Weakness: CWE-125 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H

References