Vulnerability Monitor

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CVE-2022-35990

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.

Published

2022-09-16T22:15:11.727

Last Modified

2024-11-21T07:12:07.730

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.9 (MEDIUM)

Weaknesses

Type: Primary
CWE-617

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	google	tensorflow	< 2.7.2	Yes
Application	google	tensorflow	< 2.8.1	Yes
Application	google	tensorflow	< 2.9.1	Yes
Application	google	tensorflow	2.10	Yes
Application	google	tensorflow	2.10	Yes
Application	google	tensorflow	2.10	Yes
Application	google	tensorflow	2.10	Yes

References

https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h7ff-cfc9-wmmh Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h7ff-cfc9-wmmh Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)