recon-sector-expansion

Discover and validate company domains using certificate transparency logs and automated probing.

3|1|Updated Jul 2, 2026
One-click install
npx skills add https://github.com/EntroVyx/hermes-agent-offsec --skill recon-sector-expansion-entrovyx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: recon-sector-expansion
Source: https://github.com/EntroVyx/hermes-agent-offsec/tree/main/skills/offsec/redteam/recon-sector-expansion
Command: npx skills add https://github.com/EntroVyx/hermes-agent-offsec --skill recon-sector-expansion-entrovyx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, nmap, curl, python3, and includes references (resource) components.

What problem does it solve?

This skill solves the bottleneck of manual target discovery by automating the identification and validation of fresh, untested company domains across multiple business sectors.

Core Features & Use Cases

  • Batch Discovery: Automatically queries certificate transparency logs to find candidate domains for specific sectors like dental, fitness, or roofing.
  • Pipeline Integration: Filters candidates against existing coverage and runs a multi-step security pipeline including HTTP probing, WordPress enumeration, and port scanning.
  • Use Case: When you need to expand your bug bounty or pentest scope, use this skill to identify 20+ new, alive targets in a specific industry and perform an initial vulnerability assessment in one session.

Quick Start

Use the recon-sector-expansion skill to discover and test new domains in the dental and fitness sectors.

Frequently Asked Questions about recon-sector-expansion

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate domain discovery for pentesting across specific industry sectors?

Automating domain discovery for pentesting involves querying certificate transparency logs to find candidate domains in specific sectors like dental or fitness. This skill filters candidates against existing coverage and validates them through HTTP probing, WordPress enumeration, and port scanning to identify alive targets for vulnerability assessment.

Can I use certificate transparency logs to find untested company domains for bug bounty scope expansion?

Yes, you can use certificate transparency logs to find untested company domains for bug bounty scope expansion. This skill queries these logs to automatically identify fresh domains across diverse business sectors, filtering out already covered targets to provide 20 or more new candidates for reconnaissance.

Do I need Python and Linux utilities to run batch reconnaissance workflows?

Yes, you need Python3 and standard Linux utilities including httpx, nmap, and curl to run batch reconnaissance workflows. These dependencies are required for executing the automated HTTP probing, network service scanning, and batch processing of endpoints across multiple target domains.

What is the best way to scale offensive reconnaissance across 20 or more new targets?

The best way to scale offensive reconnaissance across 20 or more new targets is to automate the discovery and security validation pipeline. This skill handles batch processing by querying certificate transparency logs, filtering duplicates, and running multi-step validation including HTTP probing and WordPress enumeration in one session.

Does this reconnaissance pipeline support WordPress enumeration and network port scanning?

Yes, this reconnaissance pipeline supports WordPress enumeration and network port scanning. It runs a multi-step security validation sequence that includes HTTP probing via httpx, WordPress instance detection, and network service endpoint scanning using nmap to assess initial vulnerabilities across discovered domains.

When should I not use automated certificate transparency log querying for target discovery?

You should not use automated certificate transparency log querying for target discovery when operating without standard Linux utilities like httpx, nmap, curl, and python3, or when your reconnaissance workflow does not require rapid expansion of target coverage across diverse industry sectors for large-scale batch processing.