Vulnerability Details : CVE-2021-41220

TensorFlow is an open source platform for machine learning. In affected versions the async implementation of `CollectiveReduceV2` suffers from a memory leak and a use after free. This occurs due to the asynchronous computation and the fact that objects that have been `std::move()`d from are still accessed. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.
Vulnerability category: Memory Corruption
Published 2021-11-05 23:15:08
Updated 2021-11-10 13:16:43
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2021-41220

Probability of exploitation activity in the next 30 days: 0.05%

Percentile, the proportion of vulnerabilities that are scored at or less: ~ 15 % EPSS Score History EPSS FAQ

CVSS scores for CVE-2021-41220

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
security-advisories@github.com

CWE ids for CVE-2021-41220

  • Referencing memory after it has been freed can cause a program to crash, use unexpected values, or execute code.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2021-41220

Products affected by CVE-2021-41220

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