TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/div.cc). There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/1e206baedf8bef0334cca3eb92bab134ef525a28 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rhrq-64mq-hf9h | Third Party Advisory |
Configurations
Configuration 1 (hide)
|
Information
Published : 2021-08-12 16:15
Updated : 2021-08-18 14:57
NVD link : CVE-2021-37683
Mitre link : CVE-2021-37683
JSON object : View
CWE
CWE-369
Divide By Zero
Products Affected
- tensorflow