CVE-2025-6466
Published: 22 June 2025
Summary
CVE-2025-6466 is a low-severity Improper Access Control (CWE-284) vulnerability in Ageerle Ruoyi-Ai. Its CVSS base score is 2.1 (Low).
Operationally, ranked in the top 34.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as LLM Application Platforms; in the Supply Chain and Deployment risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-18835
Vulnerability details
A vulnerability was found in ageerle ruoyi-ai 2.0.0 and classified as critical. Affected by this issue is the function speechToTextTranscriptionsV2/upload of the file ruoyi-modules/ruoyi-system/src/main/java/org/ruoyi/system/service/impl/SseServiceImpl.java. The manipulation of the argument File leads to unrestricted upload. The attack may be launched remotely.…
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The exploit has been disclosed to the public and may be used. Upgrading to version 2.0.1 is able to address this issue. The patch is identified as 4e93ac86d4891c59ecfcd27c051de9b3c5379315. It is recommended to upgrade the affected component.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
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.
This control enforces ownership-based restrictions on portable storage device use, directly implementing access control over media insertion into organizational systems.
Hardware write-protect enforces access control on critical resources (e.g., firmware) independent of software state.
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.