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Vulnerability · Published Sep 16, 2022 · Assigned by GitHub_M

CVE-2022-36015Integer overflow in math ops in TensorFlow

Medium 5.9

In plain English

A medium-severity integer overflow in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.7% (higher than 53% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.9Medium
Exploit odds (30 days)0.7%top 46.6% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

TensorFlow is an open source platform for machine learning. When `RangeSize` receives values that do not fit into an `int64_t`, it crashes. We have patched the issue in GitHub commit 37e64539cd29fcfb814c4451152a60f5d107b0f0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.9.1GHSA-rh87-q4vg-m45j
PyPItensorflow2.8.1GHSA-rh87-q4vg-m45j
PyPItensorflow2.7.2GHSA-rh87-q4vg-m45j
PyPItensorflow2.7.2, 2.8.1, 2.9.1PYSEC-2026-3237
PyPItensorflow-cpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-3367
PyPItensorflow-cpu2.7.2GHSA-rh87-q4vg-m45j
PyPItensorflow-cpu2.8.1GHSA-rh87-q4vg-m45j
PyPItensorflow-cpu2.9.1GHSA-rh87-q4vg-m45j
PyPItensorflow-gpu2.9.1GHSA-rh87-q4vg-m45j
PyPItensorflow-gpu2.7.2, 2.8.1, 2.9.1PYSEC-2026-1033
PyPItensorflow-gpu2.8.1GHSA-rh87-q4vg-m45j
PyPItensorflow-gpu2.7.2GHSA-rh87-q4vg-m45j

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.7.2>= 2.8.0, < 2.8.1>= 2.9.0, < 2.9.1

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

References