Vulnerabilities > CVE-2021-37691 - Divide By Zero vulnerability in Google Tensorflow
Attack vector
LOCAL Attack complexity
LOW Privileges required
LOW Confidentiality impact
NONE Integrity impact
NONE Availability impact
HIGH Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Vulnerable Configurations
| Part | Description | Count |
|---|---|---|
| Application | 39 |
Common Weakness Enumeration (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/0575b640091680cfb70f4dd93e70658de43b94f9
- https://github.com/tensorflow/tensorflow/commit/0575b640091680cfb70f4dd93e70658de43b94f9
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27qf-jwm8-g7f3
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27qf-jwm8-g7f3