CVE-2022-36000
MEDIUM5.9EPSS 0.07%Null dereference on MLIR on empty function attributes in TensorFlow
Published: 9/16/2022Modified: 5/20/2025
Description
TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Affected packages (4)
- Bitnami/tensorflowfrom 0, < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1
- PyPI/tensorflowfrom 0, < 2.7.2
- PyPI/tensorflow-cpufrom 0, < 2.7.2
- PyPI/tensorflow-gpufrom 0, < 2.7.2
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 3.1 | MEDIUM5.9 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H |
References (5)
- ADVISORYhttps://nvd.nist.gov/vuln/detail/CVE-2022-36000
- PATCHhttps://github.com/tensorflow/tensorflow
- WEBhttps://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0
- WEBhttps://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- WEBhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqxc-pvf8-2w9v