CVE-2021-29600
Summary
| CVE | CVE-2021-29600 |
|---|
| State | PUBLIC |
|---|
| Assigner | [email protected] |
|---|
| Source Priority | CVE Program / NVD first with legacy fallback |
|---|
| Published | 2021-05-14 20:15:00 UTC |
|---|
| Updated | 2021-05-19 21:29:00 UTC |
|---|
| Description | TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `OneHot` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/f61c57bd425878be108ec787f4d96390579fb83e/tensorflow/lite/kernels/one_hot.cc#L68-L72). An attacker can craft a model such that at least one of the dimensions of `indices` would be 0. In turn, the `prefix_dim_size` value would become 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. |
|---|
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 |
|---|
| Prevent division by 0 in OneHot implementation · tensorflow/tensorflow@3ebedd7 · GitHub |
MISC |
github.com |
|
| Division by zero in TFLite's implementation of `OneHot` · Advisory · tensorflow/tensorflow · GitHub |
CONFIRM |
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
- 982453 Python (pip) Security Update for tensorflow (GHSA-j8qh-3xrq-c825)
