CVE-2024-33431
Stsaz Phiola 2.0
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:HSummary
CVE-2024-33431 is a medium-severity Always-Incorrect Control Flow Implementation (CWE-670) vulnerability in Stsaz Phiola. Its CVSS base score is 6.5 (Medium).
Operationally, ranked in the top 44% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
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-2024-31170
Vulnerability Data
An issue in phiola/src/afilter/conv.c:115 of phiola v2.0-rc22 allows a remote attacker to cause a denial of service via a crafted .wav file.
- CWE(s)
Related Threats
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V9.2.1
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation at post-design stages directly exercises control-flow paths and reveals mismatches between implemented and intended behavior.
Requiring a documented development process and supporting tools reduces the chance that incorrect control-flow logic is introduced in the first place.
Flaw identification and remediation processes can locate and correct control-flow errors once they manifest as incorrect runtime behavior.
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 control-flow implementations via reviews, testing, and static analysis.
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 paths that deviate from intended logic.
Secure development lifecycle processes can catch incorrect control-flow logic during design and code review.
Secure coding standards and reviews directly target flawed control-flow implementations.
Change-management gates may prevent deployment of flawed logic but do not address the coding defect itself.