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Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23575Integer overflow in Tensorflow

Medium 6.5

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 0.8% (higher than 56% 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 43.6% 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 `OpLevelCostEstimator::CalculateTensorSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. 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-c94w-c95p-phf8
PyPItensorflow2.6.3GHSA-c94w-c95p-phf8
PyPItensorflow2.7.1GHSA-c94w-c95p-phf8
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3160
PyPItensorflow-cpu2.6.3GHSA-c94w-c95p-phf8
PyPItensorflow-cpu2.7.1GHSA-c94w-c95p-phf8
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-84
PyPItensorflow-cpu2.5.3GHSA-c94w-c95p-phf8
PyPItensorflow-gpu2.7.1GHSA-c94w-c95p-phf8
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-139
PyPItensorflow-gpu2.5.3GHSA-c94w-c95p-phf8
PyPItensorflow-gpu2.6.3GHSA-c94w-c95p-phf8

Affected products (as reported)

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

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

References