Vulnerability Details : CVE-2021-41216

TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Vulnerability category: OverflowMemory Corruption
Published 2021-11-05 23:15:08
Updated 2021-11-09 15:53:34
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2021-41216

Probability of exploitation activity in the next 30 days: 0.04%

Percentile, the proportion of vulnerabilities that are scored at or less: ~ 10 % EPSS Score History EPSS FAQ

CVSS scores for CVE-2021-41216

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Source
4.6
MEDIUM AV:L/AC:L/Au:N/C:P/I:P/A:P
3.9
6.4
nvd@nist.gov
7.8
HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
1.8
5.9
nvd@nist.gov
5.5
MEDIUM CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
1.8
3.6
security-advisories@github.com

CWE ids for CVE-2021-41216

References for CVE-2021-41216

Products affected by CVE-2021-41216

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