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CVE-2020-15208 Detail

Description

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.


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
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html Mailing List  Third Party Advisory 
https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d Patch  Third Party Advisory 
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 Third Party Advisory 
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v Exploit  Third Party Advisory 

Weakness Enumeration

CWE-ID CWE Name Source
CWE-125 Out-of-bounds Read GitHub, Inc.  
CWE-787 Out-of-bounds Write GitHub, Inc.  

Known Affected Software Configurations Switch to CPE 2.2

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Change History

9 change records found show changes

Quick Info

CVE Dictionary Entry:
CVE-2020-15208
NVD Published Date:
09/25/2020
NVD Last Modified:
09/16/2021
Source:
GitHub, Inc.