Out-of-bounds Read in Google Tensorflow
CVE-2022-23594
Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.
Vulnerability class: Buffer Overflow
Published · last modified .
CVSS v3 metric
CVSS v3 base score 8.8 (High). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H.
EPSS exploit prediction
EPSS: 0.001 (3.0th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 3rd percentile — 3.0% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.001 · newest: 0.001 · change: 0.000
Affected products
- Google Tensorflow — versions 2.7.0
- Tensorflow — versions >= 2.7.0, < 2.8.0
Weakness classification (CWE)
References
- github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2 (Third Party Advisory)
- github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/… (Third Party Advisory)
Frequently asked questions
- What is CVE-2022-23594?
- CVE-2022-23594 is a high-severity vulnerability in Google Tensorflow, classified under Out-of-bounds Read. CVSS score: 8.8/10. Published 2022-02-04.
- How severe is CVE-2022-23594?
- High severity. CVSS v3 base score is 8.8 out of 10.