TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1.
Published 2023-03-25 00:15:08
Updated 2023-03-31 14:20:18
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: OverflowExecute code

Exploit prediction scoring system (EPSS) score for CVE-2023-25668

0.16%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 52 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2023-25668

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
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
GitHub, Inc.

CWE ids for CVE-2023-25668

  • A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().
    Assigned by: security-advisories@github.com (Primary)
  • The product reads data past the end, or before the beginning, of the intended buffer.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2023-25668

Products affected by CVE-2023-25668

This web site uses cookies for managing your session, storing preferences, website analytics and additional purposes described in our privacy policy.
By using this web site you are agreeing to CVEdetails.com terms of use!