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CVE-2022-21726

Common vulnerabilities & exposures (CVE)

CVE databaseCVE database blogpostRelease & EoL database
 
Published at: - 03-02-2022 12:15
Last modified: - 08-02-2022 09:05
Total changes: - 2

Description

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.

Common Vulnerability Scoring System (CVSS)

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Low
Attack complexity
Network
Attack vector
High
Availability
High
Confidentiality
High
Integrity
Low
Privileges required
Unchanged
Scope
None
User interaction
8.8
Base score
2.8
5.9
Exploitability score
Impact score
 

Verification logic

OR
vendor=google AND product=tensorflow AND versionEndIncluding=2.5.2
vendor=google AND product=tensorflow AND versionEndIncluding=2.6.2 AND versionStartIncluding=2.6.0
vendor=google AND product=tensorflow AND version=2.7.0
 

Reference

 


Keywords

NVD

 

CVE-2022-21726

 

CVE

 

Common vulnerabilities & exposures

 

CVSS

 

Common vulnerability scoring system

 

Security

 

Vulnerabilities

 

Exposures

 

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