CVE-2024-52579
Published: 18 December 2024
Summary
CVE-2024-52579 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Misskey Misskey. Its CVSS base score is 6.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Network Service Discovery (T1046); ranked at the 38.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-46241
Vulnerability details
Misskey is an open source, federated social media platform. Some APIs using `HttpRequestService` do not properly check the target host. This vulnerability allows an attacker to send POST or GET requests to the internal server, which may result in a…
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SSRF attack.It allows an attacker to send POST or GET requests (with some controllable URL parameters) to private IPs, enabling further attacks on internal servers. This issue has been addressed in version 2024.11.0-alpha.3. Users are advised to upgrade. There are no known workarounds for this vulnerability.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The SSRF vulnerability (CWE-918) in Misskey APIs enables exploitation of a public-facing application (T1190) and facilitates internal network service discovery (T1046) by allowing low-privileged attackers to send HTTP requests to private IPs.
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.
Directly implements checks on information inputs to reject invalid data before processing.
Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.
Detects server-side request forgery through monitoring of unexpected outbound connections.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.