Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29594Division by zero in TFLite's convolution code
Low 2.5
In plain English
A low-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 10% 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. TFLite's convolution code(https://github.com/tensorflow/tensorflow/blob/09c73bca7d648e961dd05898292d91a8322a9d45/tensorflow/lite/kernels/conv.cc) has multiple division where the divisor is controlled by the user and not checked to be non-zero. 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.3 | GHSA-3qgw-p4fm-x7gf |
| PyPI | tensorflow | 2.4.2 | GHSA-3qgw-p4fm-x7gf |
| PyPI | tensorflow | 2.1.4 | GHSA-3qgw-p4fm-x7gf |
| PyPI | tensorflow | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-231 |
| PyPI | tensorflow | 2.2.3 | GHSA-3qgw-p4fm-x7gf |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-3qgw-p4fm-x7gf |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-3qgw-p4fm-x7gf |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-3qgw-p4fm-x7gf |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-3qgw-p4fm-x7gf |
| PyPI | tensorflow-cpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-522 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-3qgw-p4fm-x7gf |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-3qgw-p4fm-x7gf |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-3qgw-p4fm-x7gf |
| PyPI | tensorflow-gpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-720 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-3qgw-p4fm-x7gf |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2 |
Weakness: CWE-369 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L