CVE-2020-15192
Description
In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to dlpack.to_dlpack there is a memory leak following an expected validation failure. The issue occurs because the status argument during validation failures is not properly checked. Since each of the above methods can return an error status, the status value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
Risk Information
Base Score
4.3
MODERATE
Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
EPSS Score
Exploitation Probability
0.226
Associated Vulnerability
| Vulnerability | OS Platform |
|---|---|
| Multiple vulnerabilities are fixed in Python-tensorflow 2.2.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.3.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.2.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.3.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.2.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.3.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.2.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.3.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.2.1 | 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 2.2.1 | 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