CVE-2025-54132
Published: 01 August 2025
Summary
CVE-2025-54132 is a medium-severity SSRF (CWE-918) vulnerability in Anysphere Cursor. Its CVSS base score is 4.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exfiltration Over Web Service (T1567); ranked at the 41.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the LLM/Generative AI Risks risk domain; MITRE ATLAS techniques in scope: LLM Prompt Injection (AML.T0051).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-23407
Vulnerability details
Cursor is a code editor built for programming with AI. In versions below 1.3, Mermaid (which is used to render diagrams) allows embedding images which then get rendered by Cursor in the chat box. An attacker can use this to…
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exfiltrate sensitive information to a third-party attacker controlled server through an image fetch after successfully performing a prompt injection. A malicious model (or hallucination/backdoor) might also trigger this exploit at will. This issue requires prompt injection from malicious data (web, image upload, source code) in order to exploit. In that case, it can send sensitive information to an attacker-controlled external server. This is fixed in version 1.3.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- LLM/Generative AI Risks
- OWASP Top 10 for LLMs 2025
- Classification Reason
- Matched keywords: ai, prompt injection
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability in Mermaid diagram rendering allows prompt injection to embed external image URLs containing sensitive data, enabling exfiltration to an attacker-controlled web server via HTTP image fetch requests.
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.
Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.
Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.
Validates server-side URLs and resource references to block SSRF attempts.
Detects server-side request forgery through monitoring of unexpected outbound connections.