CVE-2024-52590
Published: 18 December 2024
Summary
CVE-2024-52590 is a high-severity Improper Input Validation (CWE-20) vulnerability in Misskey Misskey. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 47.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-46198
Vulnerability details
Misskey is an open source, federated social media platform. In affected versions missing validation in `ApRequestService.signedGet` allows an attacker to create fake user profiles that appear to be from a different instance than the one where they actually exist. These…
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profiles can be used to impersonate existing users from the target instance. Vulnerable Misskey instances will accept spoofed users as valid, allowing an attacker to impersonate users on another instance. Attackers have full control of the spoofed user and can post, renote, or otherwise interact like a real account. 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 vulnerability in the public-facing Misskey federated social media platform (T1190) allows attackers to create spoofed user profiles impersonating legitimate users from other instances, enabling full control for actions like posting (T1656).
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.
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.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.