Moderate severityNVD Advisory· Published Sep 16, 2022· Updated Apr 23, 2025
`CHECK` fail in `Conv2DBackpropInput` in TensorFlow
CVE-2022-35969
Description
TensorFlow is an open source platform for machine learning. The implementation of Conv2DBackpropInput requires input_sizes to be 4-dimensional. Otherwise, it gives a CHECK failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. 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.
AI Insight
LLM-synthesized narrative grounded in this CVE's description and references.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
tensorflowPyPI | < 2.7.2 | 2.7.2 |
tensorflowPyPI | >= 2.8.0, < 2.8.1 | 2.8.1 |
tensorflowPyPI | >= 2.9.0, < 2.9.1 | 2.9.1 |
tensorflow-cpuPyPI | < 2.7.2 | 2.7.2 |
tensorflow-cpuPyPI | >= 2.8.0, < 2.8.1 | 2.8.1 |
tensorflow-cpuPyPI | >= 2.9.0, < 2.9.1 | 2.9.1 |
tensorflow-gpuPyPI | < 2.7.2 | 2.7.2 |
tensorflow-gpuPyPI | >= 2.8.0, < 2.8.1 | 2.8.1 |
tensorflow-gpuPyPI | >= 2.9.0, < 2.9.1 | 2.9.1 |
Affected products
5- osv-coords4 versions
>= 2.7.0, < 2.7.2+ 3 more
- (no CPE)range: >= 2.7.0, < 2.7.2
- (no CPE)range: < 2.7.2
- (no CPE)range: < 2.7.2
- (no CPE)range: < 2.7.2
- Range: < 2.7.2
Patches
Vulnerability mechanics
References
5- github.com/advisories/GHSA-q2c3-jpmc-gfjxghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2022-35969ghsaADVISORY
- github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33cghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/releases/tag/v2.10.0ghsaWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjxghsax_refsource_CONFIRMWEB
News mentions
0No linked articles in our index yet.