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Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23580Abort caused by allocating a vector that is too large in Tensorflow

Medium 6.5

In plain English

A medium-severity uncontrolled resource consumption in tensorflow from tensorflow. 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)6.5Medium
Exploit odds (30 days)0.8%top 42.3% 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. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. 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-627q-g293-49q7
PyPItensorflow2.6.3GHSA-627q-g293-49q7
PyPItensorflow2.7.1GHSA-627q-g293-49q7
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3113
PyPItensorflow-cpu2.6.3GHSA-627q-g293-49q7
PyPItensorflow-cpu2.7.1GHSA-627q-g293-49q7
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-89
PyPItensorflow-cpu2.5.3GHSA-627q-g293-49q7
PyPItensorflow-gpu2.7.1GHSA-627q-g293-49q7
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-144
PyPItensorflow-gpu2.5.3GHSA-627q-g293-49q7
PyPItensorflow-gpu2.6.3GHSA-627q-g293-49q7

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.7.0, < 2.7.1>= 2.6.0, < 2.6.3< 2.5.3

Weakness: CWE-400 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References