Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37691Division by zero in LSH in TensorFlow Lite
Medium 5.5
In plain English
A medium-severity security flaw in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 4% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.4, 2.4.3 | PYSEC-2021-313 |
| PyPI | tensorflow | 2.3.4 | GHSA-27qf-jwm8-g7f3 |
| PyPI | tensorflow | 2.4.3 | GHSA-27qf-jwm8-g7f3 |
| PyPI | tensorflow | 2.5.1 | GHSA-27qf-jwm8-g7f3 |
| PyPI | tensorflow-cpu | 2.4.3 | GHSA-27qf-jwm8-g7f3 |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-604 |
| PyPI | tensorflow-cpu | 2.3.4 | GHSA-27qf-jwm8-g7f3 |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-27qf-jwm8-g7f3 |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-802 |
| PyPI | tensorflow-gpu | 2.3.4 | GHSA-27qf-jwm8-g7f3 |
| PyPI | tensorflow-gpu | 2.4.3 | GHSA-27qf-jwm8-g7f3 |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-27qf-jwm8-g7f3 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.5.0, < 2.5.1>= 2.4.0, < 2.4.3< 2.3.4 |
Weakness: CWE-369 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H