Vulnerability · Published Nov 18, 2022 · Assigned by GitHub_M
CVE-2022-41883Out of bounds segmentation fault due to unequal op inputs in Tensorflow
Medium 6.8
In plain English
A medium-severity out-of-bounds read in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.4% (higher than 33% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.10.1 | GHSA-w58w-79xv-6vcj |
| PyPI | tensorflow | 2.10.1 | PYSEC-2026-3251 |
| PyPI | tensorflow-cpu | 2.10.1 | GHSA-w58w-79xv-6vcj |
| PyPI | tensorflow-cpu | 2.10.1 | PYSEC-2026-3376 |
| PyPI | tensorflow-gpu | 2.10.1 | GHSA-w58w-79xv-6vcj |
| PyPI | tensorflow-gpu | 2.10.1 | PYSEC-2026-1042 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.10.0, < 2.10.1 |
Weakness: CWE-125 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w58w-79xv-6vcj
- https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc