PyPi: Tensorflow

CVE-2022-35981

Safety vulnerability ID: 51070

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Sep 16, 2022 Updated at Oct 25, 2024
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Advisory

TensorFlow 2.7.4, 2.8.3 and 2.9.2 include a fix for CVE-2022-35981: 'CHECK' fail in 'FractionalMaxPoolGrad'.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw

Affected package

tensorflow

Latest version: 2.18.0

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. 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. See CVE-2022-35981.


CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw
MISC:https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4: https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4

Resources

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Severity Details

CVSS Base Score

HIGH 7.5

CVSS v3 Details

HIGH 7.5
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
LOW
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Availability (A)
HIGH