CVE-2021-41216
Medium
Description
TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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-120CWE-120
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 | 2.4.0 ≤ v < 2.4.4, 2.5.0 ≤ v < 2.5.2, 2.6.0 ≤ v < 2.6.1, 2.7.0 | 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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