Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Published 2022-02-03 14:15:08
Updated 2022-02-09 05:08:57
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Denial of service

Exploit prediction scoring system (EPSS) score for CVE-2022-21737

0.16%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 51 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-21737

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
4.0
MEDIUM AV:N/AC:L/Au:S/C:N/I:N/A:P
8.0
2.9
NIST
6.5
MEDIUM CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
2.8
3.6
NIST
6.5
MEDIUM CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
2.8
3.6
GitHub, Inc.

CWE ids for CVE-2022-21737

References for CVE-2022-21737

Products affected by CVE-2022-21737

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