Vulnerability Details : CVE-2022-29211

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 implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. 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 2022-06-03 15:02:31
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Input validation

Products affected by CVE-2022-29211

Exploit prediction scoring system (EPSS) score for CVE-2022-29211

EPSS FAQ
0.10%
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-2022-29211

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-2022-29211

  • 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 (Primary)

References for CVE-2022-29211

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