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CVE-2022-23594

Common vulnerabilities & exposures (CVE)

CVE databaseCVE database blogpostRelease & EoL database
 
Published at: - 05-02-2022 12:15
Last modified: - 10-02-2022 07:15
Total changes: - 2

Description

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.

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
 

Reference

 


Keywords

NVD

 

CVE-2022-23594

 

CVE

 

Common vulnerabilities & exposures

 

CVSS

 

Common vulnerability scoring system

 

Security

 

Vulnerabilities

 

Exposures

 

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