Hariharan M

Led cyber threat intelligence initiatives, leveraging automation and data analysis to identify fraud, disrupt malicious networks, and protect brands from impersonation and misuse.

• Helped brands safeguard their reputation by detecting brand misuse and impersonation through cyber threat intelligence and fraud analysis, enabling proactive threat mitigation.

• Developed a Python-based automation tool leveraging Selenium, MongoDB, and Celery to gather intelligence on threat actors operating fraudulent betting and investment sites. This solution enhanced threat detection efficiency by 75%.

• Uncovered 99,000+ scammer data points and 2,000+ malicious ad domains, disrupting fraudulent networks and collaborating with government agencies for enforcement action.

• Monitored Telegram and the Dark Web, producing 20+ actionable threat intelligence reports to aid in cybercrime prevention and mitigation.

Bachelor of Technologies

Courses

• Computer Science and Business Systems

Compiled detailed notes on TryHackMe's SOC Analyst exercises, organized for enhanced learning in Obsidian. This repository uses graphs, flowcharts, and tags to help CTI professionals and new learners visualize SOC concepts.

Recon-Eye scans your domain's external assets (IPs, subdomains, DNS, ports) and captures screenshots of subdomains. This project is built with Python and Flask for the backend, and HTML, CSS, and JavaScript on the frontend.

This all-in-one CLI tool simplifies system monitoring and file analysis, consolidating essential system commands. Built with Bash scripting, it integrates commands like lscpu, free, adduser, wc, and more into a single interface.