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CVE-2022-35979

MEDIUM

5.9

Description

TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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.

CVE Details

CVSS v3.1 Score5.9

SeverityMEDIUM

CVSS VectorCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Attack VectorNETWORK

ComplexityHIGH

Privileges RequiredNONE

User InteractionNONE

Published9/16/2022

Last Modified11/21/2024

Sourcenvd

Honeypot Sightings0

Affected Products

google:tensorflow

Weaknesses (CWE)

CWE-20

References

https://github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d88659756d89(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v7vw-577f-vp8x(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d88659756d89(af854a3a-2127-422b-91ae-364da2661108)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v7vw-577f-vp8x(af854a3a-2127-422b-91ae-364da2661108)

IOC Correlations

No correlations recorded

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