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CVE-2022-35973

nvd nist
Published: Sep 16, 2022Modified: Jun 17, 2026

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7.5
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Exploitability: 3.9 / Impact: 3.6
Source: NVD

Description

TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. 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 (7)

Products: Google: Tensorflow
1 product
Tensorflow
Configuration A
7 vulnerable
Vulnerable SoftwareAffected Versions
Google
From 2.7.0 to 2.7.2
From 2.8.0 to 2.8.1
From 2.9.0 to 2.9.1
Version 2.10 rc0
Version 2.10 rc1
Version 2.10 rc2
Version 2.10 rc3

References (4)

Source: security-advisories@github.com
PatchThird Party Advisory
Source: security-advisories@github.com
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory

Timeline

No history available yet.