Vulnerability Details : 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 2022-11-18 22:15:20
Updated 2022-11-23 13:35:44
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Memory CorruptionExecute code

Products affected by CVE-2022-41900

Exploit prediction scoring system (EPSS) score for CVE-2022-41900

EPSS FAQ
0.13%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 48 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-41900

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
9.8
 CRITICAL CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
3.9
5.9
 NIST
7.1
 HIGH CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
1.2
5.9
 GitHub, Inc.

CWE ids for CVE-2022-41900

  • The product reads data past the end, or before the beginning, of the intended buffer.
    Assigned by: security-advisories@github.com (Primary)
  • The product writes data past the end, or before the beginning, of the intended buffer.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2022-41900

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