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CVE-2022-41884

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Date: November 18, 2022

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.

Language: Python

Severity Score

Related Resources (4)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636
https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784
https://nvd.nist.gov/vuln/detail/CVE-2022-41884
https://www.mend.io/vulnerability-database/CVE-2022-41884

Severity Score

Weakness Type (CWE)

Always-Incorrect Control Flow Implementation

CWE-670

Top Fix

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Upgrade Version

Upgrade to version tensorflow - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-cpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-gpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0

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CVSS v3.1

Base Score:
Attack Vector (AV): NETWORK
Attack Complexity (AC): LOW
Privileges Required (PR): NONE
User Interaction (UI): NONE
Scope (S): UNCHANGED
Confidentiality (C): NONE
Integrity (I): NONE
Availability (A): HIGH

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