Vulnerability Details : CVE-2022-23579

Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a `SavedModel` such that `SafeToRemoveIdentity` would trigger `CHECK` failures. 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 2022-02-04 23:15:15
Updated 2022-02-10 01:28:52
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Denial of service

Products affected by CVE-2022-23579

Exploit prediction scoring system (EPSS) score for CVE-2022-23579

EPSS FAQ
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-2022-23579

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
5.0
 MEDIUM AV:N/AC:L/Au:N/C:N/I:N/A:P
10.0
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-2022-23579

  • The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2022-23579

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