Description
In the Linux kernel, the following vulnerability has been resolved: rhashtable: Fix potential deadlock by moving schedule_work outside lock Move the hash table growth check and work scheduling outside the rht lock to prevent a possible circular locking dependency. The original implementation could trigger a lockdep warning due to a potential deadlock scenario involving nested locks between rhashtable bucket, rq lock, and dsq lock. By relocating the growth check and work scheduling after releasing the rth lock, we break this potential deadlock chain. This change expands the flexibility of rhashtable by removing restrictive locking that previously limited its use in scheduler and workqueue contexts. Import to say that this calls rht_grow_above_75(), which reads from struct rhashtable without holding the lock, if this is a problem, we can move the check to the lock, and schedule the workqueue after the lock. Modified so that atomic_inc is also moved outside of the bucket lock along with the growth above 75% check.
Details
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| linux-kernel | 6.13 | 6.13.2 |
References
Similar Threats
- High CVE-2022-0400
- Medium CVE-2022-0480
- Medium CVE-2022-0168
- Medium CVE-2022-0171
- Medium CVE-2022-0322
Site Security Check
Concerned your site may already be targeted?
BotEraser analyzes incoming traffic patterns and helps identify bot behavior consistent with known exploit attempts.
Check My Site Free →No credit card required · Results in minutes
ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.