Input validation error in TensorFlow - CVE-2022-41896

 

Input validation error in TensorFlow - CVE-2022-41896

Published: February 21, 2024


Vulnerability identifier: #VU86678
CSH Severity: Medium
CVSS v4: 8.7 [CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N]
CVE-ID: CVE-2022-41896
CWE-ID: CWE-20
Exploitation vector: Remote access
Exploit availability: No public exploit available

Vulnerability details

The vulnerability allows a remote attacker to perform a denial of service (DoS) attack.

The vulnerability exists due to TensorFlow will crash if `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size. A remote attacker can pass specially crafted input to the application and perform a denial of service (DoS) attack.


Affected software

TensorFlow
IBM Watson Assistant for IBM Cloud Pak for Data
IBM Watson Discovery for IBM Cloud Pak for Data
IBM Maximo Application Suite
Robotic Process Automation for Cloud Pak

How to mitigate CVE-2022-41896

Install updates from vendor's website.

TensorFlow - addressed in versions 2.8.4, 2.9.3, 2.10.1, 2.11.0
IBM Watson Assistant for IBM Cloud Pak for Data - update to 4.7.0
IBM Watson Discovery for IBM Cloud Pak for Data - update to 4.6.2
IBM Maximo Application Suite - addressed in versions 8.9.6, 8.10.3
Robotic Process Automation for Cloud Pak - addressed in versions 21.0.7.1, 23.0.1

External References

Related Security Bulletins