CVE-2020-15196

Description

In Tensorflow version 2.3.0, the SparseCountSparseOutput and RaggedCountSparseOutput implementations dont 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.

Risk Information

Base Score

9.9

MODERATE

Vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

EPSS Score

Exploitation Probability

0.302

Associated Vulnerability

Vulnerability	OS Platform
Multiple vulnerabilities are fixed in Python-tensorflow 2.3.1	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.3.1	Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.3.1	Windows
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.3.1	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.3.1	Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.3.1	Linux

Patch Details

No records found

References

https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234