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CVE-2022-23591

Common vulnerabilities & exposures (CVE)

CVE databaseCVE database blogpostRelease & EoL database
 
Published at: - 05-02-2022 12:15
Last modified: - 10-02-2022 02:55
Total changes: - 2

Description

Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. 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:N/UI:N/S:U/C:N/I:N/A:H
Low
Attack complexity
Network
Attack vector
High
Availability
None
Confidentiality
None
Integrity
None
Privileges required
Unchanged
Scope
None
User interaction
7.5
Base score
3.9
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-2022-23591

 

CVE

 

Common vulnerabilities & exposures

 

CVSS

 

Common vulnerability scoring system

 

Security

 

Vulnerabilities

 

Exposures

 

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