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Vulnerability · Published Feb 3, 2022 · Assigned by GitHub_M

CVE-2022-21733Memory exhaustion in Tensorflow

Medium 4.3

In plain English

A medium-severity integer overflow 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)4.3Medium
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. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. 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-98j8-c9q4-r38g
PyPItensorflow2.6.3GHSA-98j8-c9q4-r38g
PyPItensorflow2.7.1GHSA-98j8-c9q4-r38g
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3145
PyPItensorflow-cpu2.6.3GHSA-98j8-c9q4-r38g
PyPItensorflow-cpu2.7.1GHSA-98j8-c9q4-r38g
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-57
PyPItensorflow-cpu2.5.3GHSA-98j8-c9q4-r38g
PyPItensorflow-gpu2.7.1GHSA-98j8-c9q4-r38g
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-112
PyPItensorflow-gpu2.5.3GHSA-98j8-c9q4-r38g
PyPItensorflow-gpu2.6.3GHSA-98j8-c9q4-r38g

Affected products (as reported)

VendorProductVersions
n/a n/a n/a

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

References