CVE-2020-15196 Detail

Undergoing Analysis


This vulnerability is currently undergoing analysis and not all information is available. Please check back soon to view the completed vulnerability summary.

Description

In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don’t validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

Severity

CVSS 3.x Severity and Metrics:

CVSS 2.0 Severity and Metrics:

References to Advisories, Solutions, and Tools

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Weakness Enumeration

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

Change History

0 change records found show changes

Quick Info

CVE Dictionary Entry:
CVE-2020-15196
NVD Published Date:
09/25/2020
NVD Last Modified:
09/25/2020
Source:
MITRE