Vulnerability Details : CVE-2022-29208

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 implementation of `tf.raw_ops.EditDistance` has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout the code, one may compute an index for a write operation. However, the existing validation only checks against the upper bound of the array. Hence, it is possible to write before the array by massaging the input to generate negative values for `loc`. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Published 2022-05-20 23:15:45
Updated 2022-06-03 02:02:54
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Memory CorruptionDenial of service

Products affected by CVE-2022-29208

Exploit prediction scoring system (EPSS) score for CVE-2022-29208

EPSS FAQ
0.14%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 31 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-29208

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
3.6
 LOW AV:L/AC:L/Au:N/C:N/I:P/A:P
3.9
4.9
 NIST
7.1
 HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H
1.8
5.2
 NIST
7.1
 HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H
1.8
5.2
 GitHub, Inc.

CWE ids for CVE-2022-29208

  • The product writes data past the end, or before the beginning, of the intended buffer.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2022-29208

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