CVE-2024-0641
Linux Kernel ≤ 6.6
Raw vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HSummary
CVE-2024-0641 is a medium-severity Deadlock (CWE-833) vulnerability in Linux Linux Kernel. Its CVSS base score is 5.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Endpoint Denial of Service (T1499); ranked at the 6th 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 SA-8 (Security and Privacy Engineering Principles) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-16433
Vulnerability Data
A denial of service vulnerability was found in tipc_crypto_key_revoke in net/tipc/crypto.c in the Linux kernel’s TIPC subsystem. This flaw allows guests with local user privileges to trigger a deadlock and potentially crash the system.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V15.4.3
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation activities can exercise concurrent paths and resource contention to discover deadlock conditions before deployment.
Security engineering principles applied during design can incorporate synchronization ordering, timeouts, and resource hierarchies that structurally avoid deadlock formation.
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 SDLC practices directly include code reviews, static analysis, and concurrency standards that prevent improper locking.
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.
Security testing in development can detect deadlock conditions through stress and concurrency testing.
Secure development lifecycle requires deadlock analysis and avoidance techniques during design and coding.
Application security requirements can mandate proper lock acquisition/release patterns.
Secure system architecture principles include concurrency controls and resource-locking discipline that prevent deadlock.
Secure coding standards mandate safe lock ordering, timeouts, and deadlock detection patterns.
Change management may catch locking issues introduced by modifications but does not prevent the weakness itself.