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National Vulnerability Database

National Vulnerability Database

NVD

National Vulnerability Database
  1. Vulnerabilities

CVE-2022-23591 Detail

Description

Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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/448a16182065bd08a202d9057dd8ca541e67996c Patch  Third Party Advisory 
https://github.com/tensorflow/tensorflow/commit/448a16182065bd08a202d9057dd8ca541e67996c Patch  Third Party Advisory 
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-247x-2f9f-5wp7 Patch  Third Party Advisory 
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-247x-2f9f-5wp7 Patch  Third Party Advisory 

Weakness Enumeration

CWE-ID CWE Name Source
CWE-674 Uncontrolled Recursion cwe source acceptance level NIST  
CWE-400 Uncontrolled Resource Consumption GitHub, Inc.  

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Change History

4 change records found show changes

Quick Info

CVE Dictionary Entry:
CVE-2022-23591
NVD Published Date:
02/04/2022
NVD Last Modified:
11/21/2024
Source:
GitHub, Inc.