I fix things that are broken

Michael Caney Jr  • Peerlist

Identified and mapped a concentrated network of fraudulent entities in Fresno, CA using infrastructure, location, and behavioral signals. •	Aggregated data across carrier activity, contact information, and infrastructure indicators •	Identified clustering patterns based on shared addresses, phone numbers, IP space, and operational behavior •	Built  visualization of fraud concentration and entity relationships •	Correlated infrastructure reuse to uncover linked actors across seemingly unrelated entities •	Applied clustering logic to group high-risk entities into a single investigative framework Result: Revealed a concentrated fraud network with shared infrastructure and behavioral patterns, improving the ability to proactively flag and investigate related entities.

Fraud Network Clustering & Intelligence Model

Investigated a fraudulent website impersonating a logistics platform and identified backend infrastructure used for credential harvesting. •	Analyzed cloned login flows and client-side behavior to uncover hidden API endpoints •	Traced request/response patterns to identify credential exfiltration paths •	Discovered integrations with external messaging infrastructure used for real-time data collection •	Mapped the full flow from user input → backend processing → operator notification •	Documented indicators and coordinated escalation for platform and hosting provider response Result: Enabled rapid takedown of a live credential harvesting operation and reduced risk of account compromise for targeted users.