CVE-2023-27579
Summary
| CVE | CVE-2023-27579 |
|---|
| State | PUBLIC |
|---|
| Assigner | [email protected] |
|---|
| Source Priority | CVE Program / NVD first with legacy fallback |
|---|
| Published | 2023-03-25 00:15:00 UTC |
|---|
| Updated | 2023-11-07 04:10:00 UTC |
|---|
| Description | TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1. |
|---|
NVD Known Affected Configurations (CPE 2.3)
| Type | Vendor | Product | Version | Update | Edition | Language |
|---|
| Application |
Google |
Tensorflow |
All |
All |
All |
All |
References
| Reference | Source | Link | Tags |
|---|
| Check filter_input_channel > 0 in conv kernel. · tensorflow/tensorflow@34f8368 · GitHub |
MISC |
github.com |
|
| FPE in TFLite in conv kernel · Advisory · tensorflow/tensorflow · GitHub |
MISC |
github.com |
|
| CVE Program record |
CVE.ORG |
www.cve.org |
canonical |
| NVD vulnerability detail |
NVD |
nvd.nist.gov |
canonical, analysis |
No vendor comments have been submitted for this CVE.
Legacy QID Mappings
- 907406 Common Base Linux Mariner (CBL-Mariner) Security Update for tensorflow (31208-1)
