CVE-2022-41884

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

CVSS v3 7.5 HIGH

7.5^/10

CVSS v3 : HIGH

Vector :

Exploitability : 3.9 / Impact : 3.6

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784	Patch Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636	Exploit Patch Third Party Advisory

Configurations

Configuration 1 (hide)

OR	cpe:2.3:a:google:tensorflow::::::::
	cpe:2.3:a:google:tensorflow::::::::
	cpe:2.3:a:google:tensorflow:2.10.0:::::::*

History

22 Nov 2022, 21:53

Type	Values Removed	Values Added
New CVE

Information

Published : 2022-11-18 22:15

Updated : 2024-02-04 23:14

NVD link : CVE-2022-41884

Mitre link : CVE-2022-41884

CVE.ORG link : CVE-2022-41884

JSON object : View

Products Affected

google

tensorflow

CWE

CWE-670

Always-Incorrect Control Flow Implementation

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