Vulnerability Monitor

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CVE-2022-35989

TensorFlow is an open source platform for machine learning. When `MaxPool` receives a window size input array `ksize` with dimensions greater than its input tensor `input`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18. 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.

Published

2022-09-16T22:15:11.667

Last Modified

2024-11-21T07:12:07.570

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.9 (MEDIUM)

Weaknesses

Type: Primary
CWE-617

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	google	tensorflow	< 2.7.2	Yes
Application	google	tensorflow	< 2.8.1	Yes
Application	google	tensorflow	< 2.9.1	Yes
Application	google	tensorflow	2.10	Yes
Application	google	tensorflow	2.10	Yes
Application	google	tensorflow	2.10	Yes
Application	google	tensorflow	2.10	Yes

References

https://github.com/tensorflow/tensorflow/commit/32d7bd3defd134f21a4e344c8dfd40099aaf6b18 Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j43h-pgmg-5hjq Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/commit/32d7bd3defd134f21a4e344c8dfd40099aaf6b18 Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j43h-pgmg-5hjq Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)