CVE-2021-41196
Medium
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.
SeverityMedium
CVSS5.5
Exploit probability—
Product
Google Tensorflow
PublishedNov 5, 2021
First seenNov 5, 2021
Weakness typeCWE-191CWE-191
How to fix
Update
- google tensorflow2.4.4, 2.5.2, 2.6.1 or later
- tensorflow2.6.1, 2.5.2, 2.4.4, 2.7.0 or later
- tensorflow-cpu2.6.1, 2.5.2, 2.4.4, 2.7.0 or later
- tensorflow-gpu2.6.1, 2.5.2, 2.4.4, 2.7.0 or later
Affected products
| Product | Affected versions | Fixed in |
|---|---|---|
| google tensorflow | v < 2.4.4, 2.5.0 ≤ v < 2.5.2, 2.6.0 ≤ v < 2.6.1 | 2.4.4, 2.5.2, 2.6.1 |
| tensorflowPyPI | 2.6.0 ≤ v < 2.6.1, 2.5.0 ≤ v < 2.5.2, v < 2.4.4, 2.7.0rc0 ≤ v < 2.7.0 | 2.6.1, 2.5.2, 2.4.4, 2.7.0 |
| tensorflow-cpuPyPI | 2.6.0 ≤ v < 2.6.1, 2.5.0 ≤ v < 2.5.2, v < 2.4.4, 2.7.0rc0 ≤ v < 2.7.0 | 2.6.1, 2.5.2, 2.4.4, 2.7.0 |
| tensorflow-gpuPyPI | 2.6.0 ≤ v < 2.6.1, 2.5.0 ≤ v < 2.5.2, v < 2.4.4, 2.7.0rc0 ≤ v < 2.7.0 | 2.6.1, 2.5.2, 2.4.4, 2.7.0 |
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