Vulnerability · Published Nov 5, 2021 · Assigned by GitHub_M
CVE-2021-41196Crash in `max_pool3d` when size argument is 0 or negative
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 15% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.4.4, 2.5.2, 2.6.1, 2.7.0 | PYSEC-2021-389 |
| PyPI | tensorflow | 2.6.1 | GHSA-m539-j985-hcr8 |
| PyPI | tensorflow | 2.5.2 | GHSA-m539-j985-hcr8 |
| PyPI | tensorflow | 2.4.4 | GHSA-m539-j985-hcr8 |
| PyPI | tensorflow-cpu | 2.5.2 | GHSA-m539-j985-hcr8 |
| PyPI | tensorflow-cpu | 2.4.4, 2.5.2, 2.6.1, 2.7.0 | PYSEC-2021-606 |
| PyPI | tensorflow-cpu | 2.6.1 | GHSA-m539-j985-hcr8 |
| PyPI | tensorflow-cpu | 2.4.4 | GHSA-m539-j985-hcr8 |
| PyPI | tensorflow-gpu | 2.4.4, 2.5.2, 2.6.1, 2.7.0 | PYSEC-2021-804 |
| PyPI | tensorflow-gpu | 2.6.1 | GHSA-m539-j985-hcr8 |
| PyPI | tensorflow-gpu | 2.5.2 | GHSA-m539-j985-hcr8 |
| PyPI | tensorflow-gpu | 2.4.4 | GHSA-m539-j985-hcr8 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.6.0, < 2.6.1>= 2.5.0, < 2.5.2< 2.4.4 |
Weakness: CWE-191 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H