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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/3ebedd7e345453d68e279cfc3e4072648e5e12e5 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j8qh-3xrq-c825 | Exploit Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:21:37
Updated: 2021-05-14T19:21:37
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29600
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:15.443
Modified: 2021-05-19T21:29:26.057
Link: CVE-2021-29600
JSON object: View
Redhat Information
No data.
CWE