CVE - CVE-2022-35969

CVE-ID
CVE-2022-35969	Learn more at National Vulnerability Database (NVD) • CVSS Severity Rating • Fix Information • Vulnerable Software Versions • SCAP Mappings • CPE Information
Description
TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. 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.
References
Note: References are provided for the convenience of the reader to help distinguish between vulnerabilities. The list is not intended to be complete.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx URL:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx MISC:https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c URL:https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c
Assigning CNA
GitHub (maintainer security advisories)
Date Record Created
20220715	Disclaimer: The record creation date may reflect when the CVE ID was allocated or reserved, and does not necessarily indicate when this vulnerability was discovered, shared with the affected vendor, publicly disclosed, or updated in CVE.
Phase (Legacy)
Assigned (20220715)
Votes (Legacy)

Comments (Legacy)

Proposed (Legacy)
N/A
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