SOC Analyst | Penetration Tester | Security Researcher
Passionate about securing digital infrastructure
I'm Kamoliddin Tilonboyev, a cybersecurity professional specializing in both defensive and offensive security. With hands-on experience as a SOC Analyst and in Penetration Testing, I bring a comprehensive understanding of modern cyber threats and security operations.
Active on TryHackMe, I continuously enhance my skills through practical labs covering threat detection, incident response, network security, vulnerability assessment, and exploitation techniques. My expertise spans Network Security, Web Application Security, OWASP Top 10, and systematic vulnerability discovery.
My goal is to become a highly skilled security professional, protecting organizations from evolving cyber threats. I'm committed to continuous learning, staying current with emerging technologies and security methodologies, and contributing to a strong security culture wherever I work.
Professional credentials and learning milestones
My cybersecurity toolkit and expertise
Showcasing my cybersecurity work and research
I have developed a network port scanning tool written in Python, designed to perform security assessments on target systems. The tool supports both TCP and UDP port scanning, allowing it to identify open ports and detect active services running on a network host. By analyzing the scan results, the tool helps determine potential security risks associated with exposed services and misconfigured ports. It provides structured output that can be used for basic security analysis, enabling better understanding of a system’s network attack surface. This project has strengthened my skills in network protocols, socket programming, and security-focused Python development, while also improving my understanding of real-world reconnaissance techniques used in cybersecurity.
I have developed a real-time password strength evaluation web application designed to help users create more secure passwords. The application analyzes password strength dynamically using entropy calculations, checks against a database of common and weak passwords, and identifies patterns that could make passwords vulnerable to attacks. Based on the analysis, the system provides clear security feedback and recommendations for creating stronger passwords, such as improving length, complexity, and randomness. This project demonstrates my understanding of authentication security, password hygiene, and secure web application design, as well as my ability to translate security best practices into practical, user-friendly solutions.
I have developed a Python-based script for automatically detecting SQL Injection vulnerabilities in web applications. The tool works by analyzing URL parameters and testing them for potential injection points using controlled and security-focused input validation techniques. The script helps identify improper input handling and weak query construction that could expose applications to SQL Injection risks. By automating this process, the tool supports early-stage vulnerability assessment and assists in improving overall web application security. This project reflects my understanding of web application security testing, common injection flaws, and secure coding practices, as well as my ability to build security-oriented tools using Python
I have developed a Wi-Fi network scanning and security assessment application designed to analyze nearby wireless networks and evaluate their overall security posture. The tool identifies potential weaknesses related to weak authentication practices, outdated encryption protocols, and insecure WPS configurations, which may expose networks to security risks. The application focuses on security assessment and awareness, helping administrators and users understand misconfigurations and legacy settings that could reduce network security. By highlighting these issues, the tool supports efforts to improve wireless network hardening and enforce modern security standards. This project demonstrates my understanding of wireless network security concepts, encryption protocols, and risk assessment, as well as my ability to approach security from a responsible, defensive, and analysis-driven perspective.
I have developed a server log analysis tool designed to detect potentially malicious activities and security incidents. The tool processes server log files to identify brute-force attack attempts, suspicious IP addresses, and anomalous behavior patterns that may indicate unauthorized access or malicious intent. By correlating repeated failed login attempts, unusual access times, and abnormal request patterns, the tool helps improve early threat detection and incident awareness. It supports security teams in prioritizing alerts and responding more effectively to potential security incidents. This project demonstrates my skills in log analysis, security monitoring, anomaly detection, and incident response fundamentals, as well as my ability to think like a SOC Analyst by transforming raw log data into actionable security insights.
I have developed a simple and secure encryption/decryption tool for files and text data. The tool uses AES-256 encryption to ensure strong data confidentiality and implements password-based encryption enhanced with a salt mechanism to protect against brute-force and rainbow table attacks. The application allows users to securely encrypt sensitive information and safely decrypt it when authorized, following modern cryptographic best practices. This project demonstrates my understanding of cryptography fundamentals, secure key derivation, and data protection principles, as well as my ability to implement security concepts in practical software solutions.
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