CVE-2024-3110
Published: 06 June 2024
Summary
CVE-2024-3110 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Mintplexlabs Anythingllm. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 44.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: AML.T0040.000, Adversarial AI Attack Implementations (AML.T0016.000), Direct (AML.T0051.000).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-31713
Vulnerability details
A stored Cross-Site Scripting (XSS) vulnerability exists in the mintplex-labs/anything-llm application, affecting versions up to and including the latest before 1.0.0. The vulnerability arises from the application's failure to properly sanitize and validate user-supplied URLs before embedding them into the…
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application UI as external links with custom icons. Specifically, the application does not prevent the inclusion of 'javascript:' protocol payloads in URLs, which can be exploited by a user with manager role to execute arbitrary JavaScript code in the context of another user's session. This flaw can be leveraged to steal the admin's authorization token by crafting malicious URLs that, when clicked by the admin, send the token to an attacker-controlled server. The attacker can then use this token to perform unauthorized actions, escalate privileges to admin, or directly take over the admin account. The vulnerability is triggered when the malicious link is opened in a new tab using either the CTRL + left mouse button click or the mouse scroll wheel click, or in some non-updated versions of modern browsers, by directly clicking on the link.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- The vulnerability affects AnythingLLM (mintplex-labs/anything-llm), an open-source platform for multi-user LLM-based chat applications with document processing and AI assistant features, fitting the Enterprise AI Assistants category. It is AI-related as confirmed by the Huntr AI/ML bug bounty advisory and the LLM-specific application context.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Stored XSS enables content injection (T1659) via malicious javascript: URLs, facilitating arbitrary JS execution to steal authorization tokens (T1528) and achieve privilege escalation from manager to admin (T1068).
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 submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.