CVE-2021-37684: FPE in TFLite pooling operations
5.5
CVSS Score
3.1
Basic Information
CVE ID
GHSA ID
EPSS Score
0.00376%
CWE
Published
8/25/2021
Updated
11/13/2024
KEV Status
No
Technology
Python
Technical Details
CVSS Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Package Name | Ecosystem | Vulnerable Versions | First Patched Version |
---|---|---|---|
tensorflow | pip | < 2.3.4 | 2.3.4 |
tensorflow | pip | >= 2.4.0, < 2.4.3 | 2.4.3 |
tensorflow | pip | = 2.5.0 | 2.5.1 |
tensorflow-cpu | pip | < 2.3.4 | 2.3.4 |
tensorflow-cpu | pip | >= 2.4.0, < 2.4.3 | 2.4.3 |
tensorflow-cpu | pip | = 2.5.0 | 2.5.1 |
tensorflow-gpu | pip | < 2.3.4 | 2.3.4 |
tensorflow-gpu | pip | >= 2.4.0, < 2.4.3 | 2.4.3 |
tensorflow-gpu | pip | = 2.5.0 | 2.5.1 |
Vulnerability Intelligence
Miggo AI
Root Cause Analysis
The vulnerability stems from missing divisor validation in TFLite pooling operations. The commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695 adds safety checks for zero divisors in pooling dimension calculations. Key functions involved would be those handling pooling parameter computation (PoolParams::ComputePaddingHeightWidth) and the actual pooling execution (AveragePool2D::Eval), as these are standard locations where dimension validation occurs in TensorFlow's pooling implementations. The confidence is high because the vulnerability description explicitly mentions TFLite pooling operations and division-by-zero errors, which align with these core pooling functions.