Vulnerability · Published Feb 3, 2022 · Assigned by GitHub_M

CVE-2022-21726Out 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 58% 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 42.4% 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 `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. 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-23hm-7w47-xw72
PyPItensorflow2.6.3GHSA-23hm-7w47-xw72
PyPItensorflow2.7.1GHSA-23hm-7w47-xw72
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3082
PyPItensorflow-cpu2.6.3GHSA-23hm-7w47-xw72
PyPItensorflow-cpu2.7.1GHSA-23hm-7w47-xw72
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-50
PyPItensorflow-cpu2.5.3GHSA-23hm-7w47-xw72
PyPItensorflow-gpu2.7.1GHSA-23hm-7w47-xw72
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-105
PyPItensorflow-gpu2.5.3GHSA-23hm-7w47-xw72
PyPItensorflow-gpu2.6.3GHSA-23hm-7w47-xw72

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