Vulnerability Details : CVE-2021-41196

TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. 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.
Published 2021-11-05 20:15:08
Updated 2021-11-09 13:56:02
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2021-41196

Exploit prediction scoring system (EPSS) score for CVE-2021-41196

EPSS FAQ
0.09%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 41 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-41196

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
2.1
 LOW AV:L/AC:L/Au:N/C:N/I:N/A:P
3.9
2.9
 NIST
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
 NIST
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
 GitHub, Inc.

CWE ids for CVE-2021-41196

  • The product subtracts one value from another, such that the result is less than the minimum allowable integer value, which produces a value that is not equal to the correct result.
    Assigned by:
    • nvd@nist.gov (Primary)
    • security-advisories@github.com (Secondary)

References for CVE-2021-41196

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