CVE-2020-15198
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.
Risk Information
Base Score
5.4
MODERATE
Vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
EPSS Score
Exploitation Probability
0.169
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 foundReferences
https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234