// Chennai, Tamil Nadu, India

Ajay
Anandan.

B.Sc. Computer Science student building offensive security tools from the ground up. I built a production C2 framework during internship, automated a full bug bounty recon pipeline, and solved 31 CTF challenges — all documented, all on GitHub.

31+
CTF Challenges Solved
6+
Security Projects
164K
Emails — Phishing Model
97.97%
ML Model Accuracy

I'm a second-year CS student at Prince Shri Venkateshwara Arts & Science College, Chennai, with a CGPA of 8.09/10. My focus is entirely on offensive security — penetration testing, red teaming, and building the tools attackers use.

During my internship at Femtosoft Technologies, I built NightShade — an encrypted C2 framework with AES-128, anti-sandbox evasion via RAM/CPU/process fingerprinting, Windows registry persistence, and self-sanitization. Not a tutorial project. A real one.

I learn by building. Every concept I understand, I implement. My GitHub is the proof.

Status Open to opportunities
Degree B.Sc. CS · 2024–2027
CGPA 8.09 / 10
Location Chennai, India
Focus Red Team · AppSec
Languages Python · Bash · JS
Target Grad: April 2027
NightShade C2 Framework
Red Team

Production-grade encrypted C2 framework built during internship at Femtosoft Technologies. AES-128 encrypted comms, anti-sandbox evasion via RAM/CPU/process fingerprinting, Windows registry persistence, stealth execution, and self-sanitization modules. Modular architecture separates server, agent, and encryption layer.

Python AES-128 Flask Cryptography pynput
Private Repository
RedChain-Kit
Bug Bounty

Automated kill-chain recon pipeline: subfinder + amass → httpx → katana → nuclei. Regex-based exploit hint classifier flags SQLi, IDOR, open redirect, path traversal, and exposed admin endpoints. Dual-format output (PDF + HackerOne-ready Markdown). Flask dashboard with SQLite history tracks attack surface changes over time.

Python nuclei subfinder Flask SQLite FPDF2
View on GitHub →
Phishing Email Detection Model
ML · Security

Random Forest classifier trained on 164,000+ emails achieving 97.97% accuracy — outperforming baseline Naive Bayes by 4.2 percentage points. Features: URL patterns, TF-IDF keyword frequency, sender domain reputation, header anomalies. 98.1% precision to minimise false positives in production.

Python Scikit-learn TF-IDF Random Forest Pandas
View on GitHub →
Secure Login System
AppSec

Production-grade authentication system: Argon2id password hashing, SQLAlchemy ORM eliminating SQL injection, CSRF tokens on all state-changing forms, per-IP rate limiting, temporary account lockout, and secure cookie flags (HttpOnly, Secure, SameSite). Zero known injection or session vulnerabilities.

Flask Argon2 SQLAlchemy Flask-WTF SQLite
View on GitHub →
Vulnerability Scanner
Tooling

Port and vulnerability scanner integrating the NVD API to cross-reference detected software versions against live CVE feeds. Generates structured PDF assessment reports with CVSS severity tiers via FPDF2.

Python NVD API FPDF2 Socket
View on GitHub →
Password Strength Analyzer
Tooling

Entropy scoring, complexity enforcement, and breach-database reuse prevention. Shannon entropy calculation, pattern detection, and credential database integration to reduce weak credential risk at account creation.

Python JavaScript HTML/CSS Shannon Entropy
View on GitHub →
Jun 2026 – Jul 2026 · Remote · github.com/AjayAnandan07
Cyber Security Intern
Thiranex
  • Built production-grade secure login system (Flask + Argon2 + SQLAlchemy) with CSRF protection, brute-force rate limiting, and account lockout — deployable with zero known injection or session vulnerabilities.
  • Trained phishing email detection model (Random Forest + TF-IDF) on 164K+ emails achieving 97.97% accuracy.
  • Developed port and vulnerability scanner integrating NVD API with CVE cross-referencing and PDF reporting.
  • Built password strength analyzer with entropy scoring and breach-database reuse prevention.
Dec 2025 – Jan 2026 · On-site, Chennai
Cyber Security Intern
Femtosoft Technologies
  • Designed and built NightShade — an encrypted C2 framework (AES-128) for authorized offensive security research.
  • Implemented anti-sandbox detection via RAM/CPU/process fingerprinting, Windows registry persistence, and stealth self-sanitization modules.
  • Researched real-world red-team TTPs including payload evasion, process injection, and forensic countermeasures.
31+

Challenges solved on picoCTF picoGym across Web Exploitation and Forensics. All documented with full methodology in public writeup repository.

23 Easy 7 Medium 1 Hard
Web Exploitation
IDOR · PostgreSQL SQLi · SSTI → RCE · File upload bypass · Rate-limit bypass via X-Forwarded-For spoofing · Session hijacking · Credential stuffing · SQLMap-based injection · Authentication bypass · 2FA bypass · robots.txt recon · Hash-based access control bypass · HTTP header inspection
Forensics
Binary digit analysis · File corruption recovery · Steganography (hidden in plain sight) · Registry-based artifact analysis · Disk image forensics (DISKO 1) · Base64-encoded PNG extraction · Hex decoding · Magic byte repair
View All Writeups →

Automated multi-step attacks using Python (requests, socket, hashlib) — scripted recon and exploitation across challenge categories.

Security Tools
Burp Suite Metasploit Nmap Wireshark nuclei · subfinder · httpx FFUF · Netcat
Languages
Python (primary) Bash JavaScript Java HTML / CSS
Security Concepts
Penetration Testing Red Teaming OSINT Threat Intelligence Vulnerability Assessment Incident Response SIEM IAM
Frameworks & Tools
Flask · FastAPI SQLAlchemy · Flask-WTF Flask-Migrate Scikit-learn React Git · GitHub SQLite · REST APIs NVD API · FPDF2
Networking
TCP/IP DNS · HTTP/S Network Security Linux
IBM
Cybersecurity Fundamentals
Dec 2025
IBM
Getting Started with Threat Intelligence and Hunting
Dec 2025
IBM
Getting Started with Cybersecurity
Dec 2025
Mastercard · Forage
Cybersecurity Job Simulation
Jun 2026
TCS · Forage
Cybersecurity Analyst Job Simulation
Jun 2026

I'm a second-year student open to internships, research collaborations, bug bounty team-ups, and security conversations. If you're building something in offensive security or need someone who actually reads CVEs for fun — let's talk.

Send Email →