CVE-2026-43395
Linux Kernel 6.8 – 6.12.78
Raw vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HSummary
CVE-2026-43395 is a medium-severity Incomplete Cleanup (CWE-459) vulnerability in Linux Linux Kernel. Its CVSS base score is 5.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Data from Local System (T1005); ranked at the 2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-14 (Non-persistence) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-28701
Vulnerability Data
In the Linux kernel, the following vulnerability has been resolved: drm/xe/sync: Cleanup partially initialized sync on parse failure xe_sync_entry_parse() can allocate references (syncobj, fence, chain fence, or user fence) before hitting a later failure path. Several of those paths returned…
more
directly, leaving partially initialized state and leaking refs. Route these error paths through a common free_sync label and call xe_sync_entry_cleanup(sync) before returning the error. (cherry picked from commit f939bdd9207a5d1fc55cced5459858480686ce22)
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V6.4.1
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover incomplete cleanup through dynamic analysis or resource-leak testing.
Non-persistence mechanisms explicitly initiate resources in a known state and terminate them, directly enforcing cleanup.
Session termination forces explicit release of session-related temporary resources.
Preventing unintended information transfer through shared resources requires complete cleanup of those resources.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure-development practices and coding standards normally require proper resource release and cleanup.
Life-cycle management encompasses disposal of temporary resources but does not specifically target runtime cleanup bugs.
Explicitly calls for removing sensitive data after use, directly addressing one class of incomplete cleanup.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Explicitly requires secure deletion of temporary or residual data, directly addressing incomplete cleanup.
SDLC practices include cleanup steps, yet the weakness can still occur if those steps are omitted.
Secure-coding rules can mandate explicit cleanup of temporary resources, but do not guarantee it.
Change-management processes may require cleanup verification, but the control itself does not address the weakness.