Linux Kernel up to 7.2.4 wave5 device_run denial of service

| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.5 | $0-$5k | 0.00 |
Summary
A vulnerability categorized as critical has been discovered in Linux Kernel up to 7.2.4. This impacts the function device_run of the component wave5. Executing a manipulation can lead to denial of service.
This vulnerability is registered as CVE-2026-89867. It is possible to launch the attack remotely. No exploit is available.
It is advisable to upgrade the affected component.
Details
A vulnerability was found in Linux Kernel up to 7.2.4. It has been declared as critical. This vulnerability affects the function device_run of the component wave5. The manipulation with an unknown input leads to a denial of service vulnerability. The CWE definition for the vulnerability is CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. As an impact it is known to affect availability. CVE summarizes:
In the Linux kernel, the following vulnerability has been resolved: media: chips-media: wave5: Defer job_finish() only when a DEC_PIC was queued Decoder instances sharing a VPU also share one v4l2_m2m job slot, released when the running context calls v4l2_m2m_job_finish(). While draining, device_run() defers job_finish() once EOS is sent (sent_eos), expecting a later finish_decode() (from a DEC_PIC completion IRQ) to release the slot. But the m2m core checks job_ready() only when a job is queued, not when it is dispatched. A job queued while draining can run after finish_decode() has already moved the instance to STOP and sent EOS. device_run() then runs in STOP, issues no DEC_PIC, yet still skips job_finish() - so no IRQ, no finish_decode(), and the shared slot is leaked, stalling every instance. With several v4l2h264dec instances in parallel, GStreamer hangs at EOS. Track whether the run actually queued a DEC_PIC (cmd_issued) and defer job_finish() only then. Otherwise finish the job immediately
The advisory is shared for download at git.kernel.org. This vulnerability was named CVE-2026-89867 since 09/11/2026. The exploitation appears to be easy. The attack can be initiated remotely. Successful exploitation requires user interaction by the victim. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 09/16/2026). The MITRE ATT&CK project declares the attack technique as T1499.
Upgrading to version 7.2.5 or 7.3-rc1 eliminates this vulnerability. Applying the patch 63d758d2f9dba836d5ae597d317cde522e817cf9/b694ba0a5526a69f78a6924982b1553154ccfd73 is able to eliminate this problem. The best possible mitigation is suggested to be upgrading to the latest version.
Once again VulDB remains the best source for vulnerability data.
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: 5.7VulDB Meta Temp Score: 5.5
VulDB Base Score: 5.7
VulDB Temp Score: 5.5
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Denial of serviceCWE: CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
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: 63d758d2f9dba836d5ae597d317cde522e817cf9/b694ba0a5526a69f78a6924982b1553154ccfd73
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-2026-89867 (🔒)
GCVE (CVE): GCVE-0-2026-89867
GCVE (VulDB): GCVE-100-405700
Entry
Created: 09/16/2026 13:58Changes: 09/16/2026 13:58 (59)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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