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CVE-2022-35964

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. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. 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-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

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.