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CVE-2022-35990

MEDIUM

5.9

Description

TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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-617

References

https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h7ff-cfc9-wmmh(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed(af854a3a-2127-422b-91ae-364da2661108)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h7ff-cfc9-wmmh(af854a3a-2127-422b-91ae-364da2661108)

IOC Correlations

No correlations recorded

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