Security Intelligence Engine (SIE) & Swarm Architecture
Technical architecture of the BugBountyAI Security Intelligence Engine (SIE) and multi-agent swarm trained on Solidity AST vulnerability graphs, OpenAI, DeepSeek-R1, and LangChain.
Specialist Agents
4 Domains
Reasoning Core
DeepSeek-R1 + GPT-4o
Consensus Engine
Multi-Model Parallel
Compiler Engine
Solidity AST Graph
1. Multi-Model Provider Architecture & Routing Matrix
Vendor-agnostic orchestration via lib/llm-engine.ts
Rather than relying on a single LLM provider, BugBountyAI implements a multi-model routing matrix orchestrated through lib/llm-engine.ts:
• Smart Contract Specialist: Routed to DeepSeek-Reasoner (R1) & DeepSeek-V3 for deep logical invariant verification, arithmetic edge cases, and reentrancy execution branches.
• Security Specialist: Routed to OpenAI GPT-4o for access control models, role privilege escalations, modifier ordering, and injection analysis.
• Logic Specialist: Evaluates business logic flaws via Dual-Model Parallel Consensus across both OpenAI and DeepSeek.
• Dependency Specialist: Scans third-party library imports and OpenZeppelin inheritance trees using fast inference models.
Technical Highlights:
- Parallel Consensus Verification: Synthesizes findings from multiple models running simultaneously
- Confidence Scoring: Boosts finding confidence (up to 0.99) when independent models agree
- False-Positive Filter: Eliminates hallucinations before vulnerability reports are finalized
2. AST Vulnerability Graph Compilation & Control-Flow Tracing
Transforming raw source code into structured vulnerability graphs
Target codebases are compiled into Abstract Syntax Tree (AST) vulnerability graphs using solc-js. Reasoning models trace function entrypoints, call boundaries, and state mutations to generate verifiable Solidity Proof-of-Concept (PoC) exploit payloads.
AST Node Control-Flow Analysis Pipeline
// AST Node Control-Flow Pipeline
1. Compile Solidity Source -> solc-js AST JSON Output
2. Extract Function Entrypoints -> msg.sender, balances[msg.sender]
3. Identify Call Opcode Boundary -> msg.sender.call{value: amount}("")
4. Trace Storage Mutations -> balances[msg.sender] = 0
5. Validate Execution Order -> Reentrancy Vector Confirmed (Interaction before Effect)
6. Auto-Generate Exploit Contract -> ReentrancyPoC.solNeed Protocol Integration Assistance?
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