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CVE-2022-35971

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 `FakeQuantWithMinMaxVars` is given `min` or `max` tensors of a nonzero rank, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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
Google
1 product
Tensorflow
Configuration A
7 vulnerable
Vulnerable SoftwareAffected Versions
Google
Tensorflow
From 2.7.0 to 2.7.2
Tensorflow
From 2.8.0 to 2.8.1
Tensorflow
From 2.9.0 to 2.9.1
Tensorflow
Version 2.10 rc0
Tensorflow
Version 2.10 rc1
Tensorflow
Version 2.10 rc2
Tensorflow
Version 2.10 rc3

Related CWEs

CWE-617
Reachable Assertion
The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.

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.