Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37637Null pointer dereference in `CompressElement` in TensorFlow
High 7.7
In plain English
A high-severity null pointer dereference 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 end-to-end open source platform for machine learning. It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to `tf.raw_ops.CompressElement`. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/data/compression_utils.cc#L34) was accessing the size of a buffer obtained from the return of a separate function call before validating that said buffer is valid. We have patched the issue in GitHub commit 5dc7f6981fdaf74c8c5be41f393df705841fb7c5. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.4, 2.4.3 | PYSEC-2021-259 |
| PyPI | tensorflow | 2.3.4 | GHSA-c9qf-r67m-p7cg |
| PyPI | tensorflow | 2.4.3 | GHSA-c9qf-r67m-p7cg |
| PyPI | tensorflow | 2.5.1 | GHSA-c9qf-r67m-p7cg |
| PyPI | tensorflow-cpu | 2.4.3 | GHSA-c9qf-r67m-p7cg |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-550 |
| PyPI | tensorflow-cpu | 2.3.4 | GHSA-c9qf-r67m-p7cg |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-c9qf-r67m-p7cg |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-748 |
| PyPI | tensorflow-gpu | 2.3.4 | GHSA-c9qf-r67m-p7cg |
| PyPI | tensorflow-gpu | 2.4.3 | GHSA-c9qf-r67m-p7cg |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-c9qf-r67m-p7cg |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.5.0, < 2.5.1>= 2.4.0, < 2.4.3< 2.3.4 |
Weakness: CWE-476 · Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H