offensive-api-abuse

Pass

Audited by Gen Agent Trust Hub on Aug 27, 2026

Risk Level: SAFEDYNAMIC_EXECUTIONDATA_EXFILTRATIONINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [DYNAMIC_EXECUTION]: The skill generates functional Python scripts that utilize libraries such as requests and aiohttp to automate authentication brute-forcing and exploit race conditions during transactions.
  • [DATA_EXFILTRATION]: The skill provides instructions for redirecting server-initiated webhooks and data callbacks to an external attacker-controlled domain (attacker-listener.example.com) to intercept sensitive events.
  • [INDIRECT_PROMPT_INJECTION]: The skill defines workflows that ingest data from untrusted external sources, creating a potential surface for indirect prompt injection.
  • Ingestion points: The agent is instructed to process API response bodies via jq, analyze GitHub search results using the gh tool, and scan remote JavaScript bundles.
  • Boundary markers: No explicit delimiters or boundary markers are used when interpolating these external outputs into the workflow.
  • Capability inventory: The skill has the capability to perform network requests (curl, requests, aiohttp) and execute shell commands (gh, grep, parallel).
  • Sanitization: No sanitization or validation of the content fetched from the API endpoints or GitHub repositories is performed before processing.
  • [EXTERNAL_DOWNLOADS]: The engagement methodology depends on several third-party security tools, including Arjun, ParamSpider, jwt_tool, and GraphQL Voyager, which are referenced as essential for discovery and exploitation phases.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 27, 2026, 02:26 PM
Security Audit — agent-trust-hub — offensive-api-abuse