CVE-2024-57720
Published: 23 January 2025
Summary
CVE-2024-57720 is a medium-severity Improper Isolation or Compartmentalization (CWE-653) vulnerability in Sammycage Lunasvg. Its CVSS base score is 6.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Application or System Exploitation (T1499.004); ranked in the top 46.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-53718
Vulnerability details
lunasvg v3.0.0 was discovered to contain a segmentation violation via the component plutovg_blend.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Segmentation violation in lunasvg's plutovg_blend allows exploitation of the rendering library via malicious SVG input to crash applications, enabling endpoint denial of service.
MITRE ATLAS TechniquesAI
MITRE ATLAS techniques
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Defines isolation boundaries by specifying which external systems may access or process organization data.
Maintains isolation and compartmentalization by restricting flows between security domains or levels.
Reviewing the continued need for connections supports isolation and compartmentalization.
Locating systems away from hazards improves isolation and compartmentalization from external physical or environmental threats.
The CONOPS must articulate isolation and compartmentalization expectations for security and privacy, making architectural failures in separation of duties or domains harder to overlook.
Security architectures commonly incorporate isolation and compartmentalization strategies to limit the impact of compromises.
Organization-wide privacy program leadership ensures proper isolation and compartmentalization of personal data.
Oversight ensures data-matching activities maintain required isolation between distinct data sets and authorized user communities.