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CVE-2020-15196

nvd nist
Published: Sep 25, 2020Modified: Nov 21, 2024

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9.9
Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
Exploitability: 3.1 / Impact: 6.0
Source: NVD

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.

Affected (1)

Products: Google: Tensorflow
1 product
Tensorflow
Configuration A
1 vulnerable
Vulnerable SoftwareAffected Versions
Version 2.3.0

References (6)

Source: security-advisories@github.com
PatchThird Party Advisory
Source: security-advisories@github.com
Third Party Advisory
Source: security-advisories@github.com
ExploitThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
Third Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitThird Party Advisory

Timeline

No history available yet.