Moderate severityNVD Advisory· Published Sep 16, 2022· Updated Apr 23, 2025
`CHECK` fail in `FakeQuantWithMinMaxVarsGradient` in TensorFlow
CVE-2022-36005
Description
TensorFlow is an open source platform for machine learning. When tf.quantization.fake_quant_with_min_max_vars_gradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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
< 2.7.2+ 3 more
- (no CPE)range: < 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-r26c-679w-mrjmghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2022-36005ghsaADVISORY
- github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feedghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/releases/tag/v2.10.0ghsaWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-r26c-679w-mrjmghsax_refsource_CONFIRMWEB
News mentions
0No linked articles in our index yet.