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CVE-2020-26271 Detail

Description

In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality. However, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays. In most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.


Metrics

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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/0cc38aaa4064fd9e79101994ce9872c6d91f816b Patch  Third Party Advisory 
https://github.com/tensorflow/tensorflow/commit/0cc38aaa4064fd9e79101994ce9872c6d91f816b Patch  Third Party Advisory 
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q263-fvxm-m5mw Exploit  Patch  Third Party Advisory 
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q263-fvxm-m5mw Exploit  Patch  Third Party Advisory 

Weakness Enumeration

CWE-ID CWE Name Source
CWE-908 Use of Uninitialized Resource cwe source acceptance level NIST  
CWE-125 Out-of-bounds Read cwe source acceptance level NIST   GitHub, Inc.  

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Change History

4 change records found show changes

Quick Info

CVE Dictionary Entry:
CVE-2020-26271
NVD Published Date:
12/10/2020
NVD Last Modified:
11/21/2024
Source:
GitHub, Inc.