CVE-2024-5185
Published: 29 May 2024
Summary
CVE-2024-5185 is a high-severity CSRF (CWE-352) vulnerability in Synopsys (inferred from references). Its CVSS base score is 8.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 27.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Other Platforms; in the Data-Related Vulnerabilities risk domain; MITRE ATLAS techniques in scope: AI Supply Chain Compromise (AML.T0010).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-46429
Vulnerability details
The EmbedAI application is susceptible to security issues that enable Data Poisoning attacks. This weakness could result in the application becoming compromised, leading to unauthorized entries or data poisoning attacks, which are delivered by a CSRF vulnerability due to the…
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absence of a secure session management implementation and weak CORS policies weakness. An attacker can direct a user to a malicious webpage that exploits a CSRF vulnerability within the EmbedAI application. By leveraging this CSRF vulnerability, the attacker can deceive the user into inadvertently uploading and integrating incorrect data into the application’s language model.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Data-Related Vulnerabilities
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- EmbedAI is an AI application/platform for document embedding, vector storage, and LLM-based chat (RAG-like), which does not fit more specific categories like frameworks or libraries but aligns with 'Other Platforms'.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
CSRF vulnerability due to insecure session management and weak CORS enables exploitation of the public-facing EmbedAI web application (T1190), facilitating stored data manipulation (T1565.001) via unauthorized upload of malicious data to poison the language model.
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.
Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.
Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.
Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.
Detects anomalous request patterns consistent with cross-site request forgery.