CVE-2022-35941
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CVSS Score
V3.1EPSS Score
v2025.03.14There is a 0.2% chance that this vulnerability will be exploited in the wild within the next 30 days.
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Impact Metrics
Description
TensorFlow is an open source platform for machine learning. The `AvgPoolOp` function takes an argument `ksize` that must be positive but is not checked. A negative `ksize` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. 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 to this issue.
Available Exploits
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Affected Products
Affected Versions:
GitHub Security Advisories
Community-driven vulnerability intelligence from GitHub
TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
GHSA-mgmh-g2v6-mqw5Advisory Details
Affected Packages
CVSS Scoring
CVSS Score
CVSS Vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
References
Advisory provided by GitHub Security Advisory Database. Published: September 16, 2022, Modified: September 19, 2022