I research how web applications break, build tools that automate that process, and document everything I learn. Specializing in autonomous security systems, AI/LLM security testing, and real-world exploitation methodologies.
I build dynamically adaptive offensive security tools and contribute to open-source security research focused on scalable vulnerability detection, attack-surface analysis, and real-world exploitation methodologies.
B.E. Cyber Security
Mahendra Engineering College
CGPA: 7.56/10
Focused on web security, automated penetration testing, and AI/LLM security testing architectures.
• Autonomous vulnerability discovery
• Adaptive payload mutation engines
• Multi-agent pentesting workflows
• Attack-surface intelligence
Project Hellhound
Multi-agent autonomous web pentesting platform with specialized agent layers for adaptive vulnerability discovery against production targets.
Multi-phase autonomous LDAP injection warfare framework with intelligent reconnaissance, adaptive payload mutation, behavioral verification, and exploit-ready vulnerability handoff.
Autonomous adaptive CSRF detection framework simulating real cross-origin attack scenarios with forensic-grade token validation and multi-session verification.
Autonomous SSRF reconnaissance framework detecting unsafe server-side request handling, internal network exposure, cloud metadata access, and blind outbound interactions.
Realistic enterprise attack-simulation platform for practicing advanced web exploitation, business-logic abuse, infrastructure pivoting, and multi-stage vulnerability chaining.
Real-time DNS tunneling detection engine identifying covert exfiltration and C2 activity through entropy analysis, anomalous query patterns, and behavioral correlation.
Surface-Auditor, WAF Buster, Transport-Auditor and other 3+ — intelligent reconnaissance engines for framework fingerprinting, WAF detection, and infrastructure misconfiguration analysis.
Developing autonomous agent layers for scalable offensive security operations. Building production-grade Python agents for automated reconnaissance, contextual analysis, and intelligent vulnerability testing workflows against real-world targets.
Explored LoRa-based wireless communication with ESP32, IoT device attack surfaces, wireless security concepts, and hardware-oriented attack methodologies for embedded system security research.
Gained hands-on proficiency with Nmap, Burp Suite, Wireshark, and Metasploit. Completed Web Security Academy labs on SQLi, Broken Authentication, 2FA bypass, and insecure session management. Explored Android app security via DIVA testing.
Gained exposure to cybercrime investigation procedures, digital evidence handling, incident tracing, and law enforcement protocols. Participated in device recovery operations and built a Bluetooth De-Authenticator prototype using ESP32 for wireless abuse research.
Infosys Springboard
Professional Certification
Cisco Networking Academy
EC-Council Certification
Recruiter, researcher, or fellow hacker — feel free to connect. I respond fast and build seriously.
rithish81abinav@gmail.com
github.com/Abinav3ac
linkedin.com/in/rithish06abinav
tryhackme.com/p/Alph4rc
Open to: Offensive security roles, research internships, and collaborations focused on security tooling, vulnerability research, and autonomous offensive systems.
"Because the best security conversations usually start with 'I found something interesting.'"