Vulnerability · Published Nov 5, 2021 · Assigned by GitHub_M
CVE-2021-41226Heap OOB read in `SparseBinCount`
High 7.1
In plain English
A high-severity out-of-bounds read 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 11% 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 implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. 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-2021-418 |
| PyPI | tensorflow | 2.6.1 | GHSA-374m-jm66-3vj8 |
| PyPI | tensorflow | 2.5.2 | GHSA-374m-jm66-3vj8 |
| PyPI | tensorflow | 2.4.4 | GHSA-374m-jm66-3vj8 |
| PyPI | tensorflow-cpu | 2.5.2 | GHSA-374m-jm66-3vj8 |
| PyPI | tensorflow-cpu | 2.4.4, 2.5.2, 2.6.1, 2.7.0 | PYSEC-2021-635 |
| PyPI | tensorflow-cpu | 2.6.1 | GHSA-374m-jm66-3vj8 |
| PyPI | tensorflow-cpu | 2.4.4 | GHSA-374m-jm66-3vj8 |
| PyPI | tensorflow-gpu | 2.4.4, 2.5.2, 2.6.1, 2.7.0 | PYSEC-2021-833 |
| PyPI | tensorflow-gpu | 2.6.1 | GHSA-374m-jm66-3vj8 |
| PyPI | tensorflow-gpu | 2.5.2 | GHSA-374m-jm66-3vj8 |
| PyPI | tensorflow-gpu | 2.4.4 | GHSA-374m-jm66-3vj8 |
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-125 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H