Vulnerability Monitor

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CVE-2022-41900

TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.

Published

2022-11-18T22:15:20.273

Last Modified

2024-11-21T07:24:01.587

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 7.1 (HIGH)

Weaknesses

Type: Primary
CWE-125
CWE-787

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	google	tensorflow	< 2.8.4	Yes
Application	google	tensorflow	< 2.9.3	Yes
Application	google	tensorflow	2.10.0	Yes

References

https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48 Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472 Exploit, Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48 Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472 Exploit, Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)