Vulnerability · Published Nov 5, 2021 · Assigned by GitHub_M
CVE-2021-41216Heap buffer overflow in `Transpose`
Medium 5.5
In plain English
A medium-severity buffer overflow 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 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.4.4, 2.5.2, 2.6.1, 2.7.0 | PYSEC-2021-408 |
| PyPI | tensorflow | 2.6.1 | GHSA-3ff2-r28g-w7h9 |
| PyPI | tensorflow | 2.5.2 | GHSA-3ff2-r28g-w7h9 |
| PyPI | tensorflow | 2.4.4 | GHSA-3ff2-r28g-w7h9 |
| PyPI | tensorflow-cpu | 2.5.2 | GHSA-3ff2-r28g-w7h9 |
| PyPI | tensorflow-cpu | 2.4.4, 2.5.2, 2.6.1, 2.7.0 | PYSEC-2021-625 |
| PyPI | tensorflow-cpu | 2.6.1 | GHSA-3ff2-r28g-w7h9 |
| PyPI | tensorflow-cpu | 2.4.4 | GHSA-3ff2-r28g-w7h9 |
| PyPI | tensorflow-gpu | 2.4.4, 2.5.2, 2.6.1, 2.7.0 | PYSEC-2021-823 |
| PyPI | tensorflow-gpu | 2.6.1 | GHSA-3ff2-r28g-w7h9 |
| PyPI | tensorflow-gpu | 2.5.2 | GHSA-3ff2-r28g-w7h9 |
| PyPI | tensorflow-gpu | 2.4.4 | GHSA-3ff2-r28g-w7h9 |
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-120 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H