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CVE-2022-35964

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Date: September 16, 2022

TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Language: Python

Severity Score

Related Resources (6)

https://github.com/tensorflow/tensorflow/commit/2a458fc4866505be27c62f81474ecb2b870498fa
https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
https://nvd.nist.gov/vuln/detail/CVE-2022-35964
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668
https://www.mend.io/vulnerability-database/CVE-2022-35964

Severity Score

Weakness Type (CWE)

Input Validation

CWE-20

Insufficient Information

NVD-CWE-noinfo

Top Fix

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Upgrade Version

Upgrade to version tensorflow - 2.7.2,2.8.1,2.9.1,2.10.0, tensorflow-cpu - 2.7.2,2.8.1,2.9.1,2.10.0, tensorflow-gpu - 2.7.2,2.8.1,2.9.1,2.10.0

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CVSS v3.1

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

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