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Vulnerability · Published May 20, 2022 · Assigned by GitHub_M

CVE-2022-29203Integer overflow in `SpaceToBatchND` in TensorFlow

Medium 5.5

In plain English

A medium-severity integer overflow in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.3% (higher than 28% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.5Medium
Exploit odds (30 days)0.3%top 72.3% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official description

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SpaceToBatchND` (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow: The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a `CHECK`-failure (assertion failure), as in TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.8.1GHSA-jjm6-4vf7-cjh4
PyPItensorflow2.7.2GHSA-jjm6-4vf7-cjh4
PyPItensorflow2.6.4GHSA-jjm6-4vf7-cjh4
PyPItensorflow2.6.4, 2.7.2, 2.8.1PYSEC-2026-3207
PyPItensorflow-cpu2.6.4, 2.7.2, 2.8.1PYSEC-2026-3344
PyPItensorflow-cpu2.6.4GHSA-jjm6-4vf7-cjh4
PyPItensorflow-cpu2.7.2GHSA-jjm6-4vf7-cjh4
PyPItensorflow-cpu2.8.1GHSA-jjm6-4vf7-cjh4
PyPItensorflow-gpu2.8.1GHSA-jjm6-4vf7-cjh4
PyPItensorflow-gpu2.6.4, 2.7.2, 2.8.1PYSEC-2026-1012
PyPItensorflow-gpu2.7.2GHSA-jjm6-4vf7-cjh4
PyPItensorflow-gpu2.6.4GHSA-jjm6-4vf7-cjh4

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.6.4>= 2.7.0rc0, < 2.7.2>= 2.8.0rc0, < 2.8.1>= 2.9.0rc0, < 2.9.0

Weakness: CWE-190 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References