TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `EmbeddingLookup` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/e4b29809543b250bc9b19678ec4776299dd569ba/tensorflow/lite/kernels/embedding_lookup.cc#L73-L74). An attacker can craft a model such that the first dimension of the `value` input is 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/f61c57bd425878be108ec787f4d96390579fb83e | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4vrf-ff7v-hpgr | Exploit Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
|
History
No history.
Information
Published : 2021-05-14 20:15
Updated : 2024-02-28 18:28
NVD link : CVE-2021-29596
Mitre link : CVE-2021-29596
CVE.ORG link : CVE-2021-29596
JSON object : View
Products Affected
- tensorflow
CWE
CWE-369
Divide By Zero