ai-chat

Pass

Audited by Gen Agent Trust Hub on Aug 6, 2026

Risk Level: SAFEPROMPT_INJECTION
Full Analysis
  • [PROMPT_INJECTION]: The implementation patterns for the Angular chat interface include a vulnerability surface for Indirect Prompt Injection through unsafe content rendering.
  • Ingestion points: Untrusted data enters the agent context through the ChatInputComponent (user input) and the streaming response chunks processed in ChatComponent (external AI data).
  • Boundary markers: The UI uses role-based message bubbles to separate user and assistant content, but these are for display only and do not provide programmatic instruction isolation for the agent.
  • Capability inventory: The skill utilizes HttpClient for network requests and the marked library for markdown parsing.
  • Sanitization: A significant sanitization failure was identified in reference/streaming-patterns.md. The StreamingMessageComponent uses DomSanitizer.bypassSecurityTrustHtml to render the output of the markdown parser. This explicitly disables Angular's built-in Cross-Site Scripting (XSS) protections. If an attacker-controlled AI response contains malicious HTML or script tags that pass through the markdown parser, they will be executed in the user's browser context.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 6, 2026, 01:53 PM
Security Audit — agent-trust-hub — ai-chat