CompTIA Security+ Exam Notes

CompTIA Security+ Exam Notes
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Tuesday, October 7, 2025

Recon-ng in Action: Streamlining Cyber Threat Intelligence Collection

RECON-NG

Recon-ng is a powerful, modular, open-source reconnaissance framework written in Python. It’s designed to automate the process of gathering open-source intelligence (OSINT) about targets, making it a valuable tool for penetration testers, ethical hackers, and cybersecurity researchers.

Key Features of Recon-ng
1. Modular Architecture
Recon-ng is built around a module system. Each module performs a specific task, such as:
  • Gathering data from public sources (e.g., WHOIS, DNS, social media)
  • Performing network reconnaissance
  • Exporting data for reporting or further analysis
Modules are grouped into categories like:
  • recon: for data collection
  • report: for exporting results
  • auxiliary: for support tasks
2. Command-Line Interface (CLI)
Recon-ng has a Metasploit-like CLI that allows users to:
  • Load modules
  • Set options
  • Run commands
  • View results
Example:

3. Database Integration
Recon-ng uses a built-in SQLite database to store collected data. This allows for:
  • Persistent storage across sessions
  • Easy querying and reporting
  • Data reuse across modules
4. API Key Management
Many modules require API keys (e.g., Shodan, Google, Twitter). Recon-ng provides a way to manage these keys securely:

5. Automation and Scripting
Recon-ng supports scripting and automation through workspaces and command chaining. You can:
  • Create workspaces for different targets
  • Automate module execution
  • Export results in formats like CSV, JSON, or HTML
Common Use Cases
  • Domain and Subdomain Enumeration
  • Email and Contact Discovery
  • Social Media Profiling
  • DNS and WHOIS Lookups
  • Geolocation and Metadata Extraction
  • Credential Harvesting (from public leaks)
Installation
Recon-ng can be installed via GitHub:

You may need to install dependencies using:

Advantages
  • Easy to use with a familiar CLI
  • Highly extensible and modular
  • Integrates with many public APIs
  • Stores data in a structured format
  • Great for OSINT and passive reconnaissance
Limitations
  • Requires API keys for many modules
  • Focused on passive recon; not suitable for active exploitation
  • Some modules may be outdated or require manual updates

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