Moderate severityNVD Advisory· Published Sep 16, 2022· Updated Apr 23, 2025
Segfault in `QuantizedAdd` in TensorFlow
CVE-2022-35967
Description
TensorFlow is an open source platform for machine learning. If QuantizedAdd is given min_input or max_input tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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-v6h3-348g-6h5xghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2022-35967ghsaADVISORY
- github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d88659756d89ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/releases/tag/v2.10.0ghsaWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-v6h3-348g-6h5xghsax_refsource_CONFIRMWEB
News mentions
0No linked articles in our index yet.