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K0NGR3SS/README.md

Hi, I'm Nazar


I am Ukrainian Cyber Security/Cloud Security enthusiast passionate about security engineering, cloud security, security analysis and blue teaming, working on open-source tools and solutions.

  • Learning Security Analytics, Networking,Cloud Security, Serverless Architectures and DevSecOps
  • Studying CyberCrime and IT Security Bachelors Degree in SETU Carlow

Connect with me:

nazariy buryak personal website tryhackme

Programming Languages:

terraform python go html5 css3 assembly 68k java javascript c php

Cloud & DevOps:

aws gcp azure kubernetes docker jenkins git sonarqube

Penetration Testing:

metasploit burpsuite hydra owasp zap

Vulnerability Scanning:

nessus nikto nmap

Network Analysis & Sniffing:

wireshark ettercap

Monitoring & Dashboards:

grafana splunk

Databases:

postgresql mongodb sql

Operating Systems:

linux windows macos

Network Providers:

cisco

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    GhostState is a TUI-based security and governance tool for AWS written in Go. It scans cloud infrastructure in real-time to identify "Ghost" resources (unused/shadow IT) and "Risk" assets (critical…

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  2. GhostWeights GhostWeights Public

    GhostWeights is a Go-based pentesting tool for AWS that detects unsanctioned AI workloads and risky AI service exposure

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  3. WAFPierce WAFPierce Public

    CLI & GUI tool, it is WAF/CDN fingerprinting and bypass validation tool for pentesting across cloud providers. It detects 17+ WAFs and 12+ CDNs, runs 35+ bypass/evasion techniques with baseline heu…

    Python 5 1

  4. TCP_Recon_Tool TCP_Recon_Tool Public

    Command-line Python reconnaissance tool recon.py that probes targets, enumerates services and HTTP apps, inspects TLS, fingerprints web stacks, and emits machine-readable reports.

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  5. Log_Analyzer Log_Analyzer Public

    A Python tool that reads security logs line-by-line to detect brute-force login attempts, SQLmap-style SQL injection scans, and attack patterns by IP, time, frequency, generates statistical reports…

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    Serverless image analysis system using AWS Lambda, S3, Rekognition, and DynamoDB. Automatically detects and labels objects in uploaded images.

    Python