CVE-2022-41896
Last modified
CVE-2022-41896 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. 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. EPSS estimates a 0.44% chance of exploitation in the next 30 days.
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.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.8.4 | |
| Tensorflow | >= 2.9.0, < 2.9.3 | |
| Tensorflow | >= 2.10.0, < 2.10.1 |
References
- https://github.com/tensorflow/tensorflow/commit/39ec7eaf1428e90c37787e5b3fbd68ebd3c48860Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rmg2-f698-wq35Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/39ec7eaf1428e90c37787e5b3fbd68ebd3c48860Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rmg2-f698-wq35Exploit, Patch, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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- How Strix found a critical auth bypass in etcdStrix autonomously discovered a critical authentication bypass in etcd, later designated CVE-2026-33413.
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