enterprise-user-management-system-ai
Warn
Audited by Gen Agent Trust Hub on Jul 23, 2026
Risk Level: MEDIUMREMOTE_CODE_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The ML service (
ml-service/main.py) utilizespickle.load()to deserialize a machine learning model from a local file. Since the setup instructions involve cloning a third-party repository (github.com/Nareshkumar2583/Enterprise-User-Management-System-with-AI-Analytics.git), a malicious actor could include a compromised.pklfile in that repository to execute arbitrary code on the host machine upon initialization. - [EXTERNAL_DOWNLOADS]: The skill requires cloning a project from an external GitHub repository not associated with a verified organization. This repository hosts all core application logic, configuration templates, and ML models, creating a supply-chain dependency on unverified third-party code.
- [PROMPT_INJECTION]: The application presents a surface for indirect prompt injection. Data such as task descriptions and support ticket content is ingested and processed by AI logic without sanitization or boundary markers.
- Ingestion points:
POST /api/ticketsandPOST /api/tasksendpoints, which flow into analytics components. - Boundary markers: Absent; no delimiters are used to separate untrusted data from processing instructions.
- Capability inventory: The application possesses database write access and network connectivity via the FastAPI and Node.js services.
- Sanitization: Absent; request bodies are processed directly without validation or escaping.
Audit Metadata