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CVE-2022-21741

Common vulnerabilities & exposures (CVE)

CVE databaseCVE database blogpostRelease & EoL database
 
Published at: - 03-02-2022 04:15
Last modified: - 09-02-2022 06:36
Total changes: - 2

Description

Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. 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:N/I:N/A:H
Low
Attack complexity
Network
Attack vector
High
Availability
None
Confidentiality
None
Integrity
Low
Privileges required
Unchanged
Scope
None
User interaction
6.5
Base score
2.8
3.6
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-2022-21741

 

CVE

 

Common vulnerabilities & exposures

 

CVSS

 

Common vulnerability scoring system

 

Security

 

Vulnerabilities

 

Exposures

 

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