Vulnerability · Published Nov 18, 2022 · Assigned by GitHub_M
CVE-2022-41896`tf.raw_ops.Mfcc` crashes in Tensorflow
Medium 4.8
In plain English
A medium-severity improper input validation in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 43% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an open source platform for machine learning. If `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. 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 | 2.8.4 | GHSA-rmg2-f698-wq35 |
| PyPI | tensorflow | 2.10.1 | GHSA-rmg2-f698-wq35 |
| PyPI | tensorflow | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3239 |
| PyPI | tensorflow | 2.9.3 | GHSA-rmg2-f698-wq35 |
| PyPI | tensorflow-cpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3369 |
| PyPI | tensorflow-cpu | 2.8.4 | GHSA-rmg2-f698-wq35 |
| PyPI | tensorflow-cpu | 2.9.3 | GHSA-rmg2-f698-wq35 |
| PyPI | tensorflow-cpu | 2.10.1 | GHSA-rmg2-f698-wq35 |
| PyPI | tensorflow-gpu | 2.10.1 | GHSA-rmg2-f698-wq35 |
| PyPI | tensorflow-gpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-1035 |
| PyPI | tensorflow-gpu | 2.9.3 | GHSA-rmg2-f698-wq35 |
| PyPI | tensorflow-gpu | 2.8.4 | GHSA-rmg2-f698-wq35 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.10.0, < 2.10.1>= 2.9.0, < 2.9.3< 2.8.4 |
Weakness: CWE-20 · Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H