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Argus toolkit for network reconnaissance

Argus — open-source Python tool for collecting data on networks, web applications and security. Combines 50+ modules: DNS, SSL, leaks detection, Shodan queries. Suitable for authorized pentest and reconnaissance.

Argus: 50+ modules for infrastructure analysis
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Argus: Comprehensive Toolkit for Network Reconnaissance and Security Analysis

Argus is a Python-based CLI tool for automated data collection on networks, web applications, and security measures. It combines modules for OSINT, infrastructure analysis, and vulnerability detection. Installation is straightforward: clone the repository, install dependencies with pip install -r requirements.txt, and run python argus.py. The tool targets mid-level/senior security specialists, delivering data without manual parsing from multiple sources.

The menu is divided into three categories: network/infrastructure, web applications, security/threats. Each module prompts for a target (domain/IP) and outputs a structured report.

Network Infrastructure Modules

These features focus on basic fingerprinting and reconnaissance:

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  • Related hosts and subdomains: identifying associated domains.
  • DNS records (A, AAAA, MX, TXT): full dump with zone transfer attempt.
  • WHOIS and domain info: registrar, dates, status.
  • IP geolocation and owner.
  • Port scanning and traceroute.
  • SSL/TLS analysis: certificate chain, expiry, supported cipher suites, TLS handshake simulation.
  • DNSSEC validation and DoH (DNS over HTTPS).
  • HTTP/2, HTTP/3 support.

Example: The server info module extracts OS, web server, and frameworks via banner grabbing and passive recon.

Web Application Analysis

Modules for mapping and auditing web structures:

  • CMS detection (WordPress, Joomla, etc.).
  • Tech stack reconnaissance: frameworks, libraries, third-party integrations.
  • Directory/file bruteforce and content discovery.
  • Sitemap parsing, robots.txt analysis.
  • Broken links, redirect chains.
  • Cookie security scan.
  • Email harvesting from the domain.
  • Performance metrics: TTFB, Lighthouse-like scores.
  • Social media presence scan.
  • Archive history (Wayback Machine).

These tools build a site map, revealing hidden endpoints and legacy content. Useful for bug bounty and pentest scoping.

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Security and Threat Intelligence Modules

Focus on security mechanisms and leak detection:

  • HTTP security headers (HSTS, CSP, etc.).
  • WAF/firewall detection.
  • Data leaks: .env files, Pastebin monitoring.
  • Malware/phishing scan via VirusTotal.
  • SSL Labs grade, certificate pinning.
  • GDPR compliance check.
  • Security.txt parsing.
  • Shodan/Censys queries for exposed assets.
  • Subdomain takeover vulnerability.

| Category | Key Modules | Output |

|-----------|----------------|--------|

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| Network | Port scan, Traceroute | Open ports, latency |

| Web | Dir search, Tech stack | Structure, versions |

| Security | Headers, Leaks | Vulnerabilities, compliance |

Practical Usage

Launch: python argus.py → select module → enter target. Results in terminal, with export options.

Examples:

  • Email collection: scans public sources, outputs unique addresses.
  • HTTP headers: detailed breakdown, flags missing headers.
  • Sitemap parsing: extracts all URLs, filters parameters.
  • Social scan: finds profiles on Twitter, LinkedIn, etc.
  • Subdomain enum: combines passive/active methods.

For automation, integrate into scripts via subprocess or study the source on GitHub.

Key Points:

  • Argus aggregates data from 50+ sources (Shodan, Censys, VirusTotal) without API keys in the base version.
  • IPv6 support, DoH/DoT for evasion.
  • Built-in rate limiting minimizes bans.
  • Authorized use only: comply with target ToS and local laws.
  • Open-source: fork for custom modules.

The tool speeds up the recon phase 3–5 times compared to manual tools, while maintaining accuracy.

— Editorial Team

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