Linux Kernel up to 7.2.4 Damon mm/damon/core.c kdamond_merge_regions infinite loop

| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.0 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Linux Kernel up to 7.2.4. It has been classified as problematic. Affected is the function kdamond_merge_regions of the file mm/damon/core.c of the component Damon. This manipulation causes infinite loop.
This vulnerability appears as CVE-2026-89796. The attack requires local access. There is no available exploit.
Upgrading the affected component is recommended.
Details
A vulnerability classified as problematic was found in Linux Kernel up to 7.2.4. Affected by this vulnerability is the function kdamond_merge_regions of the file mm/damon/core.c of the component Damon. The manipulation with an unknown input leads to a infinite loop vulnerability. The CWE definition for the vulnerability is CWE-835. The product contains an iteration or loop with an exit condition that cannot be reached, i.e., an infinite loop. As an impact it is known to affect availability. The summary by CVE is:
In the Linux kernel, the following vulnerability has been resolved: mm/damon/core: avoid infinite kdamond_merge_regions() internal loop Patch series "mm/damon: unurgent fixes for infinite loop, NULL de-ref and races", v1.1. Sashiko found a few issues in DAMON that could cause infinite loop, NULL dereference and monitoring results degradation. The first two sounds scary but the infinite loop happens only under unreasonable user setup. The NULL dereference is only in a unit test. Monitoring results degradation is trivial since it is only best-effort, and those happens from only unlikely races. Still those are bugs that better to fix if possible. Fix those. This patch (of 6): Due to online parameter update like events, the number of DAMON regions could be higher than the user-set upper limit. kdamond_merge_regions() repeats merge regions until the number meets the limit, while doubling the merge threshold up to the theoretical maximum threshold. It is tried only up to the theoretical maximum threshold because even the aggressive merging can fail from reducing the number of regions under the user-defined upper limit. For example, there could be many user-defined non-contiguous regions that cannot be merged. The threshold based loop break condition is evaluated by comparing the threshold for the next merging try against the theoretical maximum threshold. If max_thres is larger than UINT_MAX / 2, doubling the threshold could make it overflow, and bypass the loop break condition. In the case, if the number of regions cannot be reduced under the upper limit like explained above, the loop will run infinitely. Prevent the case by doing the break condition check before doubling the threshold. Also, prevent the threshold exceeding the maximum threshold, as it could overflow and apply the wrong merge threshold. This issue is unlikely to occur in real world, since having the max_thres higher than UINT_MAX / 2 require unrealistically large aggregation intervals compared to the sampling interval. Also, it requires an unrealistically large number of uncontiguous regions setup. Nonetheless, the consequence is bad and the fix is simple. The issue was discovered [1] by Sashiko.
The advisory is shared at git.kernel.org. This vulnerability is known as CVE-2026-89796 since 09/11/2026. The exploitation appears to be easy. An attack has to be approached locally. Additional levels of successful authentication are necessary for exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.
Upgrading to version 7.2.5 or 7.3-rc1 eliminates this vulnerability. Applying the patch 8a96a06e04d210845be5d9581c0e9e338947e8f8/123e4619ab6c8ab1c4cb1d7a58311a2af13929cd is able to eliminate this problem. The best possible mitigation is suggested to be upgrading to the latest version.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.kernel.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.2VulDB Meta Temp Score: 4.0
VulDB Base Score: 4.2
VulDB Temp Score: 4.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Infinite loopCWE: CWE-835 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Kernel 7.2.5/7.3-rc1
Patch: 8a96a06e04d210845be5d9581c0e9e338947e8f8/123e4619ab6c8ab1c4cb1d7a58311a2af13929cd
Timeline
09/11/2026 CVE reserved09/16/2026 Advisory disclosed
09/16/2026 VulDB entry created
09/16/2026 VulDB entry last update
Sources
Vendor: kernel.orgAdvisory: git.kernel.org
Status: Confirmed
CVE: CVE-2026-89796 (🔒)
GCVE (CVE): GCVE-0-2026-89796
GCVE (VulDB): GCVE-100-405613
Entry
Created: 09/16/2026 12:50Changes: 09/16/2026 12:50 (60)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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