CVE-2024-42231
Linux Kernel 6.7 – 6.9.9
Raw vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HSummary
CVE-2024-42231 is a medium-severity Incorrect Calculation (CWE-682) vulnerability in Linux Linux Kernel. Its CVSS base score is 5.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 8th 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-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-39880
Vulnerability Data
In the Linux kernel, the following vulnerability has been resolved: btrfs: zoned: fix calc_available_free_space() for zoned mode calc_available_free_space() returns the total size of metadata (or system) block groups, which can be allocated from unallocated disk space. The logic is wrong…
more
on zoned mode in two places. First, the calculation of data_chunk_size is wrong. We always allocate one zone as one chunk, and no partial allocation of a zone. So, we should use zone_size (= data_sinfo->chunk_size) as it is. Second, the result "avail" may not be zone aligned. Since we always allocate one zone as one chunk on zoned mode, returning non-zone size aligned bytes will result in less pressure on the async metadata reclaim process. This is serious for the nearly full state with a large zone size device. Allowing over-commit too much will result in less async reclaim work and end up in ENOSPC. We can align down to the zone size to avoid that.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V15.2.2
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation directly exercises calculations and can discover incorrect or unintended results used in security decisions.
Requiring documented development processes and standards can enforce coding rules and tool usage that reduce introduction of calculation errors.
Engineering principles applied during design and implementation can require verified algorithms and safe arithmetic that structurally avoid incorrect calculation results.
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 prevent incorrect calculations via reviews, testing, and verification in security-critical code.
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 and acceptance can detect calculation flaws before deployment.
Secure development lifecycle mandates verification steps that catch incorrect calculations before they reach production.
Application security requirements can explicitly call for numeric accuracy and bounds checking.
Secure architecture principles include input validation and safe arithmetic design that reduce calculation errors.
Secure coding standards directly prohibit unsafe arithmetic and require defensive checks against incorrect results.