CVE-2022-23583
Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
- Affected products
- Tensorflow
- Google Tensorflow
- ≤ 2.5.2, 2.6.2, 2.7.0
- Fix
- Available
- CVSS 3.1
- 6.5 MEDIUM
- EPSS
- 0.9% (55th percentile)
- Weakness
- CWE-843, CWE-617
- NVD status
- Modified
- Published
- 2022-02-04
No indexed exploits for CVE-2022-23583 yet
Our index is partial: it proves presence, never absence
No exploit for CVE-2022-23583 has been indexed yet. Our index is built from live traffic and upstream syncs, so this page can only say what it knows — not that no exploit exists.