TensorFlow is an open source platform for machine learning. In affected versions the code behind `tf.function` API can be made to deadlock when two `tf.function` decorated Python functions are mutually recursive. This occurs due to using a non-reentrant `Lock` Python object. Loading any model which contains mutually recursive functions is vulnerable. An attacker can cause denial of service by causing users to load such models and calling a recursive `tf.function`, although this is not a frequent scenario. 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 23:15:08
Updated 2022-10-20 21:25:48
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Denial of service

Exploit prediction scoring system (EPSS) score for CVE-2021-41213

0.05%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 18 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-41213

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
4.3
MEDIUM AV:N/AC:M/Au:N/C:N/I:N/A:P
8.6
2.9
NIST
5.5
MEDIUM CVSS:3.1/AV:L/AC:L/PR:N/UI:R/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-2021-41213

  • The product utilizes multiple threads or processes to allow temporary access to a shared resource that can only be exclusive to one process at a time, but it does not properly synchronize these actions, which might cause simultaneous accesses of this resource by multiple threads or processes.
    Assigned by: nvd@nist.gov (Primary)
  • The product does not properly acquire or release a lock on a resource, leading to unexpected resource state changes and behaviors.
    Assigned by: security-advisories@github.com (Secondary)

References for CVE-2021-41213

Products affected by CVE-2021-41213

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