Vulnerability Details : CVE-2022-21726

Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Published 2022-02-03 11:15:08
Updated 2022-02-08 20:05:45
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2022-21726

Exploit prediction scoring system (EPSS) score for CVE-2022-21726

EPSS FAQ
0.29%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 69 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-21726

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
6.5
 MEDIUM AV:N/AC:L/Au:S/C:P/I:P/A:P
8.0
6.4
 NIST
8.8
 HIGH CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
2.8
5.9
 NIST
8.1
 HIGH CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
2.8
5.2
 GitHub, Inc.

CWE ids for CVE-2022-21726

  • The product reads data past the end, or before the beginning, of the intended buffer.
    Assigned by: nvd@nist.gov (Primary)

References for CVE-2022-21726

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