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CVE-2022-29211

Common vulnerabilities & exposures (CVE)

CVE databaseCVE database blogpostRelease & EoL database
 
Published at: - 21-05-2022 02:15
Last modified: - 03-06-2022 05:02
Total changes: - 2

Description

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.

Common Vulnerability Scoring System (CVSS)

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Low
Attack complexity
Local
Attack vector
High
Availability
None
Confidentiality
None
Integrity
Low
Privileges required
Unchanged
Scope
None
User interaction
5.5
Base score
1.8
3.6
Exploitability score
Impact score
 

Verification logic

OR
vendor=google AND product=tensorflow AND version=2.7.0 AND update=rc1
vendor=google AND product=tensorflow AND version=2.7.0 AND update=rc0
vendor=google AND product=tensorflow AND versionStartIncluding=2.7.0 AND versionEndExcluding=2.7.2
vendor=google AND product=tensorflow AND versionEndExcluding=2.6.4
vendor=google AND product=tensorflow AND version=2.8.0 AND update=rc0
vendor=google AND product=tensorflow AND version=2.8.0 AND update=rc1
vendor=google AND product=tensorflow AND version=2.9.0 AND update=rc1
vendor=google AND product=tensorflow AND version=2.9.0 AND update=rc0
vendor=google AND product=tensorflow AND version=2.8.0 AND update=-
 

Reference

 


Keywords

NVD

 

CVE-2022-29211

 

CVE

 

Common vulnerabilities & exposures

 

CVSS

 

Common vulnerability scoring system

 

Security

 

Vulnerabilities

 

Exposures

 

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