Offensive Security • Bug Bounty • Research

Cybersecurity

My primary area of interest is offensive security, with a focus on vulnerability research, bug bounty, web application security, automation and security-focused artificial intelligence.

Cybersecurity
15+

Vulnerability Types

Studied through labs, research and practical testing.

Bug Bounty

Security Research

Focused on discovering and understanding real-world vulnerabilities.

Synex

Main Project

Offensive security platform built for reconnaissance and validation.

AI

Security Intelligence

Exploring artificial intelligence applied to cybersecurity.

How I got into cybersecurity

My interest in cybersecurity began through curiosity. What started with simple terminal commands quickly evolved into a deeper interest in how systems work, how vulnerabilities are discovered and how attackers think.

Over time I began studying web application security, penetration testing, bug bounty methodologies and vulnerability research.

Today, cybersecurity is the area where I invest most of my learning efforts, combining practical testing, development and research.

Synex

Offensive Security Platform

Synex is my largest cybersecurity project and serves as a platform for studying reconnaissance, vulnerability discovery, validation and security automation.

The project combines multiple offensive security workflows into a single platform capable of discovering assets, fingerprinting technologies, collecting evidence and validating findings.

One of the primary goals of Synex is reducing false positives by using contextual analysis and validation techniques instead of relying solely on traditional scanner signatures.

Learn more about Synex →

Web Application Security

XSS SQL Injection SSRF SSTI CSRF IDOR BAC LFI RCE File Upload Open Redirect GraphQL Business Logic Clickjacking

Research and Development

Synex

Offensive security platform focused on reconnaissance, fingerprinting and vulnerability validation.

VERA

Research project focused on reducing false positives using evidence correlation and machine learning.

GUARDIAN AI

Digital scam detection platform combining cybersecurity and artificial intelligence.

Technologies I use

Python Flask PostgreSQL Linux Docker Git Nmap Nuclei Machine Learning Bug Bounty

What I am exploring

Vulnerability validation through evidence correlation.
Machine learning for cybersecurity.
False positive reduction in security tools.
Security automation for bug bounty workflows.
Explainable AI for security analysis.
Digital scam detection and prevention.
Cybersecurity Philosophy

Understand. Validate. Improve.

I believe cybersecurity is not only about finding vulnerabilities, but also about understanding systems, validating assumptions and creating tools that help make the internet safer.

Explore Synex