Reverse engineering and analysis of private APIs used by online auction platforms.

This project demonstrates real-world techniques used in cybersecurity for analyzing, extracting, and interacting with undocumented systems.

To analyze how closed platforms expose data through APIs and how that data can be discovered, interpreted, and automated.

• API endpoint discovery
• Reverse engineering of undocumented APIs
• Authentication flow analysis
• Data extraction from structured and semi-structured sources
• Automation of ingestion pipelines

This project reflects techniques commonly used in:

• Penetration testing
• Bug bounty hunting
• Threat intelligence
• Reconnaissance of attack surfaces

• Traffic inspection (browser dev tools / network analysis)
• Pattern recognition in API responses
• Data parsing from HTML and JSON
• Handling hidden or indirect data sources

This project is intended for educational and research purposes only.
All analysis is performed on publicly accessible data without bypassing authentication or security controls.

• Detection of API anomalies
• Rate-limit analysis
• Integration with monitoring tools
• Data validation and anomaly detection

Cybersecurity-focused developer with 30+ years of hands-on experience in systems analysis, reverse engineering, and automation.

These projects are part of a broader effort to transition into:

• SOC Analyst roles
• Threat Hunting
• Security Research

Focused on real-world system analysis rather than theoretical security.