CVE-2020-15198 Detail

Current Description

In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.


View Analysis Description

Severity



CVSS 3.x Severity and Metrics:

NIST CVSS score matches with CNA score
CNA:  GitHub, Inc.
Base Score:  5.4 MEDIUM
Vector:  CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N


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Note: The NVD and the CNA have provided the same score. When this occurs only the CNA information is displayed, but the Acceptance Level icon for the CNA is given a checkmark to signify NVD concurrence.

References to Advisories, Solutions, and Tools

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Hyperlink Resource
https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 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-jc87-6vpp-7ff3 Exploit  Third Party Advisory 

Weakness Enumeration

CWE-ID CWE Name Source
CWE-122 Heap-based Buffer Overflow Provider acceptance level GitHub, Inc.  
CWE-119 Improper Restriction of Operations within the Bounds of a Memory Buffer Provider acceptance level GitHub, Inc.  

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Change History

1 change records found show changes

Quick Info

CVE Dictionary Entry:
CVE-2020-15198
NVD Published Date:
09/25/2020
NVD Last Modified:
10/01/2020
Source:
GitHub, Inc.