Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29602Division by zero in TFLite's implementation of `DepthwiseConv`
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 9% 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. The implementation of the `DepthwiseConv` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc#L287-L288). An attacker can craft a model such that `input`'s fourth dimension would be 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.3 | GHSA-rf3h-xgv5-2q39 |
| PyPI | tensorflow | 2.4.2 | GHSA-rf3h-xgv5-2q39 |
| PyPI | tensorflow | 2.1.4 | GHSA-rf3h-xgv5-2q39 |
| PyPI | tensorflow | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-239 |
| PyPI | tensorflow | 2.2.3 | GHSA-rf3h-xgv5-2q39 |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-rf3h-xgv5-2q39 |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-rf3h-xgv5-2q39 |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-rf3h-xgv5-2q39 |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-rf3h-xgv5-2q39 |
| PyPI | tensorflow-cpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-530 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-rf3h-xgv5-2q39 |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-rf3h-xgv5-2q39 |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-rf3h-xgv5-2q39 |
| PyPI | tensorflow-gpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-728 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-rf3h-xgv5-2q39 |
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