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hunt-idor (Claude-BugHunter) — agentic threat model

7.6AIVSS 7.6 · High

This agent is a specialized offensive security tool designed to guide IDOR vulnerability hunting. While highly focused, its potential for guiding live web target exploitation presents moderate risk if misused or hijacked, though it operates primarily as an advisory skill rather than an autonomous execution agent.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.3AARS uplift 1.28Factor sum 3.3/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.30
Goal-Driven Planning
0.50
Self-Modification
0.10
Dynamic Tool Use
0.20
Persistent Memory
0.20
Contextual Awareness
0.60
Dynamic Identity
0.10
Multi-Agent Interactions
0.40
Non-Determinism
0.50
Opacity & Reflexivity
0.40

Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.

MAESTRO 7-layer threat model

Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.

L1 · Foundation Models✓ mapped

Utilizes Claude as its underlying foundation model. Threats include adversarial prompt injection to bypass safety filters, potentially repurposing the agent to generate malicious exploit payloads beyond authorized testing boundaries.

L2 · Data Operations✓ mapped

Relies on a specialized dataset of 26 real disclosed HackerOne/GitHub reports. Risks include data poisoning of the reference patterns or knowledge base, which could lead to false negatives or misdirected testing advice.

L3 · Agent Frameworks✓ mapped

Orchestrates vulnerability hunting logic by guiding authenticated request tampering and object-id enumeration. Risks involve insecure tool integration if the framework directly executes the generated HTTP requests without strict validation.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — likely deployed as a local CLI tool or hosted container within the Claude-BugHunter suite. If hosted, it faces standard container compromise and unauthorized access risks; if local, it inherits the user's local environment security posture.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — lacks explicit mention of logging, telemetry, or guardrails to monitor the target domains being analyzed, creating a blind spot regarding whether it is being used against unauthorized live targets.

L6 · Security & Compliance (cross-cutting)✓ mapped

As an open-source offensive tool, it lacks built-in authorization controls, policy enforcement, or compliance auditing, relying entirely on the operator to ensure authorization before targeting web applications.

L7 · Agent Ecosystem✓ mapped

Designed as part of the 'Claude-BugHunter hunting suite', implying potential multi-agent coordination or shared context with other specialized hunting skills, which increases the risk of cascading failures or lateral tool abuse within the suite.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).