CVE-2024-27605
Published: 02 April 2024
Summary
CVE-2024-27605 is a high-severity Improper Access Control (CWE-284) vulnerability in Alldata Alldata. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Local Account (T1087.001); ranked at the 35.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Other Platforms; in the Privacy and Disclosure risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-24800
Vulnerability details
Alldata V0.4.6 is vulnerable to Insecure Permissions. Using users (test) can query information about the users in the system.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Alldata V0.4.6 is a big data middleware platform explicitly including a machine learning platform as the mid-layer framework and big model applications as upstream products, qualifying it as an AI-related platform.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Insecure permissions in Alldata V0.4.6 allow low-privileged users (e.g., 'test') to query information about other users in the system, directly enabling local account discovery.
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.
The access control policy and procedures directly mandate and enforce proper access control mechanisms across the organization.
Device lock enforces restricted access until re-authentication, directly reducing unauthorized use of active sessions.
Supervision and review of access control activities directly detects and remediates improper access configurations or usages.
Explicitly identifying and documenting actions permitted without identification or authentication enforces proper access control boundaries by defining justified exceptions.
By automatically labeling outputs with security attributes, the control supports attribute-based enforcement and reduces exploitability of improper access control weaknesses.
Associating and retaining security attributes with data directly supports enforcement of access control decisions across storage, processing, and transmission.
Requiring prior authorization for each remote access type prevents improper access control over remote connections.
Requiring authorization of wireless access before allowing connections enforces proper access control for this access method.