TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of hashtable lookup is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115) An attacker can craft a model such that `values`'s first dimension would be 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/5117e0851348065ed59c991562c0ec80d9193db2 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8rm6-75mf-7r7r | Exploit Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:21:16
Updated: 2021-05-14T19:21:16
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29604
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:15.620
Modified: 2021-05-18T15:15:32.450
Link: CVE-2021-29604
JSON object: View
Redhat Information
No data.
CWE