Vulnerability Monitor

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CVE-2022-35998

TensorFlow is an open source platform for machine learning. If `EmptyTensorList` receives an input `element_shape` with more than one dimension, it gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c8ba76d48567aed347508e0552a257641931024d. 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

2022-09-16T23:15:10.527

Last Modified

2024-11-21T07:12:08.877

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/c8ba76d48567aed347508e0552a257641931024d Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhw4-wwr7-gjc5 Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/commit/c8ba76d48567aed347508e0552a257641931024d Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhw4-wwr7-gjc5 Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)