CVE-2024-32965
Published: 26 November 2024
Summary
CVE-2024-32965 is a high-severity SSRF (CWE-918) vulnerability in Lobehub Lobe Chat. Its CVSS base score is 8.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 13.0% 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 Enterprise AI Assistants; in the Privacy and Disclosure risk domain; MITRE ATLAS techniques in scope: Acquire Public AI Artifacts (AML.T0002), Search Application Repositories (AML.T0004), Discover LLM Hallucinations (AML.T0062).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-3338
Vulnerability details
Lobe Chat is an open-source, AI chat framework. Versions of lobe-chat prior to 1.19.13 have an unauthorized ssrf vulnerability. An attacker can construct malicious requests to cause SSRF without logging in, attack intranet services, and leak sensitive information. The jwt…
more
token header X-Lobe-Chat-Auth strored proxy address and OpenAI API Key, can be modified to scan an internal network in the target lobe-web environment. This issue has been addressed in release version 1.19.13 and all users are advised to upgrade. There are no known workarounds for this vulnerability.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Lobe Chat is an open-source AI chat framework, which aligns with Enterprise AI Assistants as it provides a chat interface for interacting with AI models like OpenAI.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SSRF vulnerability in public-facing Lobe Chat (T1190) enables unauthorized scanning of internal IP blocks (T1595.001) and network service discovery (T1046) to attack intranet services and leak sensitive information.
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.