Vulnerability Details : CVE-2022-29213

Potential exploit
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the `tf.compat.v1.signal.rfft2d` and `tf.compat.v1.signal.rfft3d` lack input validation and under certain condition can result in crashes (due to `CHECK`-failures). Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Published 2022-05-21 00:15:12
Updated 2023-07-21 16:55:07
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Input validation

Products affected by CVE-2022-29213

Exploit prediction scoring system (EPSS) score for CVE-2022-29213

EPSS FAQ
0.10%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 29 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-29213

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-2022-29213

  • The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
    Assigned by: security-advisories@github.com (Secondary)
  • The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.
    Assigned by: nvd@nist.gov (Primary)

References for CVE-2022-29213

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