Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37684Division by zero in TensorFlow Lite pooling operations
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 0.1% (higher than 3% 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 the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit [dfa22b348b70bb89d6d6ec0ff53973bacb4f4695](https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695). 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-2021-306 |
| PyPI | tensorflow | 2.3.4 | GHSA-q7f7-544h-67h9 |
| PyPI | tensorflow | 2.4.3 | GHSA-q7f7-544h-67h9 |
| PyPI | tensorflow | 2.5.1 | GHSA-q7f7-544h-67h9 |
| PyPI | tensorflow-cpu | 2.4.3 | GHSA-q7f7-544h-67h9 |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-597 |
| PyPI | tensorflow-cpu | 2.3.4 | GHSA-q7f7-544h-67h9 |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-q7f7-544h-67h9 |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-795 |
| PyPI | tensorflow-gpu | 2.3.4 | GHSA-q7f7-544h-67h9 |
| PyPI | tensorflow-gpu | 2.4.3 | GHSA-q7f7-544h-67h9 |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-q7f7-544h-67h9 |
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
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q7f7-544h-67h9 x_refsource_CONFIRM