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║ ░ R A W A T ░ ║
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╚═══════════════════════════════════════════════════════════════════════════════╝
name : Shubhom Rawat
role : Cybersecurity Researcher & Security Engineer
location : Pennsylvania State University, USA
degree : M.S. Cybersecurity Analytics & Operations (2024–2026)
clearance : [RESEARCHING...]
status : Building the next line of defense
specializations:
- Penetration Testing & Red Teaming
- Malware Analysis & Reverse Engineering
- Machine Learning for Threat Detection
- Security Operations (SOC)
- Web Application Security
current_ops:
- ThreatLens → ML-Based Suspicious Login Detection
- MalSandbox → Dynamic Malware Analysis Environment
- AI-CyberDefense → Intelligent Threat Detection Pipeline
philosophy : "Break it to understand it. Understand it to defend it."🔬 Malware Analysis Sandbox — [ACTIVE]
Dynamic malware analysis pipeline powered by Cuckoo Sandbox + YARA rules.
What it does:
- Detonates suspicious binaries in an isolated environment
- Extracts behavioral signatures: network calls, registry changes, file I/O
- Classifies malware families using YARA pattern matching
- Generates automated threat reports
Stack: Python Cuckoo Sandbox YARA VirtualBox Linux
🧠 Malware Detection via Machine Learning — [DEPLOYED]
Network traffic-based malware classifier using ensemble methods.
What it does:
- Captures and parses live/recorded network flows
- Engineers features from packet metadata & behavioral patterns
- Classifies malicious traffic using Random Forest & Decision Trees
- Achieves high detection accuracy with low false-positive rates
Stack: Python Scikit-learn Pandas Wireshark/pcap Matplotlib
⚡ ThreatLens — Suspicious Login Detection — [IN PROGRESS]
ML-powered anomaly detection system for identifying compromised credentials and account takeovers.
What it does:
- Baselines normal user login behavior (time, location, device fingerprint)
- Flags deviations using anomaly detection algorithms
- Real-time alerting pipeline for SOC integration
- Risk scoring per login event
Stack: Python TensorFlow FastAPI PostgreSQL Docker
🌐 NetInstall — Encrypted Multi-Machine Deployment — [STABLE]
Automated software deployment across distributed machines over encrypted virtual networks.
What it does:
- Deploys applications to multiple nodes simultaneously
- Leverages ZeroTier encrypted overlay networks for secure comms
- Removes dependency on physical network access
Stack: Python ZeroTier Bash Linux
💬 ZenVerse — Secure Communications Platform — [STABLE]
Encrypted real-time messaging and collaboration platform.
Starting skill scan...
PORT STATE SERVICE
22/tcp open penetration-testing
80/tcp open web-app-security
443/tcp open malware-analysis
514/tcp open siem-log-analysis [Splunk | ELK]
8080/tcp open ml-threat-detection
9000/tcp open security-operations
9200/tcp open elasticsearch-hunting
╔══════════════════════════════════════════════════════════════════╗
║ ║
║ THREAT MODEL: ║
║ ┌─────────────────────────────────────────────────────────┐ ║
║ │ Recon → Weaponize → Deliver → Exploit → Install → │ ║
║ │ C2 → Exfiltrate │ ║
║ │ ↑ │ ║
║ │ [I STOP THIS] │ ║
║ └─────────────────────────────────────────────────────────┘ ║
║ ║
║ "In cyberspace, the best offense is a better defense." ║
║ "Understand the attacker's mind. Build the defender's wall." ║
║ ║
╚══════════════════════════════════════════════════════════════════╝
| Platform | Handle |
|---|---|
| shubhom-rawat-45a2b522b | |
| @0day.xploit_101 | |
| Profile |
[+] Profile loaded successfully.
[+] Threat level: RESEARCHER
[+] Clearance: OPEN SOURCE
[>] If you found something interesting — drop a ⭐
[>] If you want to collaborate — ping me.
[>] Remember: security is not a product. It's a process.