bug-bounty (Claude-BugHunter) — agentic threat model

Utilizes Claude/LLM models for vulnerability analysis, bug-chaining logic, and report generation. Highly vulnerable to prompt injection attacks that could redirect the offensive pipeline against unauthorized targets.

Not certain from the listing — processes target reconnaissance data, source code, and vulnerability signatures. Gaps in data sanitization could allow malicious target payloads to poison the agent's context or vector stores.

Orchestrates a complex pipeline (Recon -> Learn -> Hunt -> Validate -> Report). Insecure tool integration is a critical threat, as the agent translates LLM outputs into execution parameters for active scanning and exploitation tools.

Not certain from the listing — requires execution of network-facing tools and source code grep audits. If run without strict containerization, sandboxing, and egress filtering, it poses a severe host compromise and lateral movement risk.

Not certain from the listing — requires robust logging and guardrails to prevent unauthorized scanning or exploitation of out-of-scope targets, but no built-in observability or safety-netting is detailed in the open-source bundle.

Not certain from the listing — lacks explicit authorization, scope enforcement, or policy compliance mechanisms to verify that the operator has legal permission to target the specified infrastructure.

Dispatches tasks to over 60 class-specific hunting sub-skills/agents. This multi-agent architecture introduces cascading failure risks and trust abuse if a single specialized sub-agent is compromised or fed malicious input.