CVE-2020-15210: Segmentation fault in tensorflow-lite
6.5
CVSS Score
3.1
Basic Information
CVE ID
GHSA ID
EPSS Score
0.55337%
CWE
Published
9/25/2020
Updated
10/28/2024
KEV Status
No
Technology
Python
Technical Details
CVSS Vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
Package Name | Ecosystem | Vulnerable Versions | First Patched Version |
---|---|---|---|
tensorflow | pip | < 1.15.4 | 1.15.4 |
tensorflow | pip | >= 2.0.0, < 2.0.3 | 2.0.3 |
tensorflow | pip | >= 2.1.0, < 2.1.2 | 2.1.2 |
tensorflow | pip | = 2.2.0 | 2.2.1 |
tensorflow | pip | = 2.3.0 | 2.3.1 |
tensorflow-cpu | pip | < 1.15.4 | 1.15.4 |
tensorflow-cpu | pip | >= 2.0.0, < 2.0.3 | 2.0.3 |
tensorflow-cpu | pip | >= 2.1.0, < 2.1.2 | 2.1.2 |
tensorflow-cpu | pip | = 2.2.0 | 2.2.1 |
tensorflow-gpu | pip | < 1.15.4 | 1.15.4 |
tensorflow-gpu | pip | >= 2.0.0, < 2.0.3 | 2.0.3 |
tensorflow-gpu | pip | >= 2.1.0, < 2.1.2 | 2.1.2 |
tensorflow-gpu | pip | = 2.2.0 | 2.2.1 |
tensorflow-cpu | pip | = 2.3.0 | 2.3.1 |
tensorflow-gpu | pip | = 2.3.0 | 2.3.1 |
Vulnerability Intelligence
Miggo AI
Root Cause Analysis
The vulnerability stems from missing input/output overlap checks in the node creation process
. The commit d58c96946b introduced CheckInputAndOutputForOverlap()
and called it from AddNodeWithParameters()
for built-in ops. In vulnerable versions, this critical validation was absent in AddNodeWithParameters
, allowing dangerous tensor reuse. The function's direct role in operator configuration and the explicit addition of validation in the patch confirm its vulnerability.