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Case Study

Chimera

On-chain fraud analysis toolkit that assesses DeFi contract risk, correlates interacting addresses, and builds wallet intelligence profiles for investigative triage.

PythonSecurityOn-Chain AnalysisOSINTSlither
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Problem

Financial crime and security investigations on-chain are slow when analysts hop between explorers. They need a structured path from vulnerable DeFi contracts to interacting addresses to ranked wallet intelligence — with false-positive filtering and exportable case documentation.

My role

Designed and built the full three-stage pipeline and local operator UI: contract risk assessment (DeFiLlama discovery, Etherscan source, pattern scan + Slither, FindingValidator), contract–wallet correlation with exposure ranking, and a 9-stage wallet intelligence profiler with OSINT modules and batch PDF reports.

Architecture

Contract Analysis
Finding Validation
Contract–Wallet Correlation
Wallet Intelligence
Operator UI
Batch Reports / PDFs

Technical decisions

Three-stage investigation pipeline

Contract analysis → correlation → wallet intelligence keeps each stage independently runnable while composing into a full case workflow for triage and documentation.

FindingValidator without LLM dependency

Pattern and Slither findings are auto-validated with deterministic checks (e.g. confirm tx.origin / selfdestruct presence, require after .call) so false positives drop before prioritization — without requiring an LLM.

Exposure-ranked correlation

Interacting EOAs are extracted from explorer history, filtered for exchanges/bots where configured, and ranked by estimated USD exposure so investigators start with the highest-value follow-ups.

Challenges

Scanner noise vs usable findings

Raw vulnerability scans over-report. Building validation that filters false positives while preserving high-priority, evidence-backed findings was essential for trust in the priority queue.

API rate limits and incomplete attribution

Explorer and balance APIs constrain throughput. The pipeline emphasizes lawful, best-effort triage signals — behavior, funding hints, OSINT — rather than claiming perfect attribution.

Outcome

A local on-chain casework toolkit with operator UI: protocol risk assessment across high-TVL DeFi targets, correlation into ranked address queues, multi-stage wallet profiling, and batch intelligence PDFs for investigation documentation. Built as security research tooling; intended for lawful, authorized use only.