Cybersecurity Research

Exploring cutting-edge methodologies and tools for advanced threat detection and vulnerability assessment.

How We Research Cybersecurity

We leverage AI-assisted methodologies to explore the latest threats and vulnerabilities. By combining natural language prompts, custom scripts, and open-source tools, we automate data collection from security feeds, analyze exploit patterns, and validate findings in real time.

AI-Powered Intelligence Gathering

We use large language models to:

  • Summarize threat reports
  • Extract Indicators of Compromise (IoCs)
  • Generate hypotheses for potential attack vectors

Custom Script Development

Our team develops Python and Bash scripts to:

  • Pull data from APIs (e.g., Shodan, Censys)
  • Parse CT logs
  • Correlate CVE information
  • Maintain up-to-date threat databases

Tool Integration

We integrate open-source tools into automated pipelines:

  • Nmap for network scanning
  • Nikto for web server assessment
  • OSINT frameworks for intelligence gathering
  • Custom tools for specific use cases

Validation & Documentation

Our validation process includes:

  • Hands-on testing in isolated lab environments
  • Detailed documentation of findings
  • Version-controlled repositories
  • Peer review process

Explore our repository of scripts and tools on GitHub:

Visit GitHub Repository