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CVE-2022-41884 Detail

Description

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.


Metrics

NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 4.0 Severity and Vector Strings:

NIST CVSS score
NIST: NVD
N/A
NVD assessment not yet provided.

References to Advisories, Solutions, and Tools

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

Weakness Enumeration

CWE-ID CWE Name Source
CWE-670 Always-Incorrect Control Flow Implementation GitHub, Inc.  

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Change History

3 change records found show changes

Quick Info

CVE Dictionary Entry:
CVE-2022-41884
NVD Published Date:
11/18/2022
NVD Last Modified:
11/21/2024
Source:
GitHub, Inc.