CVE-2024-11822
Published: 20 March 2025
Summary
CVE-2024-11822 is a high-severity SSRF (CWE-918) vulnerability in Dify Dify. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 47.2% 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.
The strongest mitigations our analysis identified are NIST 800-53 AC-4 (Information Flow Enforcement) and SC-7 (Boundary Protection).
Deeper analysis
CVE-2024-11822 is a Server-Side Request Forgery (SSRF) vulnerability, classified as CWE-918, affecting langgenius/dify version 0.9.1. The issue arises from improper handling of the api_endpoint parameter, which allows attackers to make direct requests to internal network services from the vulnerable application.
Unauthenticated remote attackers can exploit this vulnerability over the network with low complexity and no user interaction required (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N, score 7.5). Exploitation enables unauthorized access to internal servers and potential exposure of sensitive information, including the AWS metadata endpoint.
The primary advisory is available on Huntr.com at https://huntr.com/bounties/f3042029-5d4e-41c6-850d-bbe02fae6592, which details the vulnerability report but does not specify patches or mitigations in the provided information.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-7035
Vulnerability details
langgenius/dify version 0.9.1 contains a Server-Side Request Forgery (SSRF) vulnerability. The vulnerability exists due to improper handling of the api_endpoint parameter, allowing an attacker to make direct requests to internal network services. This can lead to unauthorized access to internal…
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servers and potentially expose sensitive information, including access to the AWS metadata endpoint.
- 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: dify
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SSRF in public-facing app directly enables remote exploitation for initial access (T1190) and facilitates internal network service discovery (T1046) via arbitrary requests to internal endpoints including metadata services.
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Directly requires validation and filtering of the api_endpoint parameter to prevent attackers from injecting internal network URLs causing SSRF.
Implements boundary protections like firewalls or proxies to monitor and block unauthorized outbound requests from the application to internal services such as the AWS metadata endpoint.
Enforces information flow control policies that restrict the application's communications to internal network resources, mitigating SSRF exploitation.