Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37675Division by 0 in most convolution operators in TensorFlow
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 5% 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 most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/framework/common_shape_fns.cc#L577) is missing several validations before doing divisions and modulo operations. We have patched the issue in GitHub commit 8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4. 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.4, 2.4.3 | PYSEC-2021-297 |
| PyPI | tensorflow | 2.3.4 | GHSA-9c8h-2mv3-49ww |
| PyPI | tensorflow | 2.4.3 | GHSA-9c8h-2mv3-49ww |
| PyPI | tensorflow | 2.5.1 | GHSA-9c8h-2mv3-49ww |
| PyPI | tensorflow-cpu | 2.4.3 | GHSA-9c8h-2mv3-49ww |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-588 |
| PyPI | tensorflow-cpu | 2.3.4 | GHSA-9c8h-2mv3-49ww |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-9c8h-2mv3-49ww |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-786 |
| PyPI | tensorflow-gpu | 2.3.4 | GHSA-9c8h-2mv3-49ww |
| PyPI | tensorflow-gpu | 2.4.3 | GHSA-9c8h-2mv3-49ww |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-9c8h-2mv3-49ww |
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