offensive-osint

Index probes, wordlists, and regexes for authorized external reconnaissance.

1.1k|191|Updated Jun 24, 2026
One-click install
npx skills add https://github.com/uphiago/recon-skills --skill offensive-osint-uphiago
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: offensive-osint
Source: https://github.com/uphiago/recon-skills/tree/main/redteam/offensive-osint
Command: npx skills add https://github.com/uphiago/recon-skills --skill offensive-osint-uphiago

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the problem of fragmented, time-consuming reconnaissance during authorized external red-team and bug-bounty operations. It consolidates field-validated probes, wordlists, regex patterns, and dorks into a single operational index, eliminating hours of manual searching across Shodan, crt.sh, GitHub, and breach databases.

Core Features & Use Cases

  • Concrete Probe Arsenal: 28 Swagger/OpenAPI paths, 13 GraphQL paths, 35 high-risk port fingerprints, cloud-bucket permutation generators (S3/GCS/Azure), vendor product fingerprints (Citrix, F5, Pulse, Fortinet, PaloAlto, Cisco, VMware), and CI/CD exposure checks.
  • Secret Triage Pipeline: 48-pattern secret catalog with severity ratings, 9 read-only validators for AWS, GitHub, Slack, Postman, JWT, Anthropic, OpenAI, npm, and Atlassian, plus post-discovery enumeration workflows.
  • Attack-Surface Scoring: Endpoint interest score (0-100 rubric), mobile app ownership confidence (0-100 rubric), severity decision matrix with 80+ worked examples, and 27 attack-path hint templates.
  • Sector & Mass Recon: Sector-specific notes for healthcare, finance, ICS/SCADA, IoT, and government, plus empirical mass-recon methodology for non-regulated US SMB sectors with parallel batch testing and false-positive filtering.

Quick Start

Use the offensive-osint skill to perform external reconnaissance on a target by scanning for subdomains and API endpoints, checking for exposed secrets in JavaScript bundles, and validating any discovered credentials with read-only checks.

Frequently Asked Questions about offensive-osint

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

FAQPage Schema
How do I enumerate subdomains and discover exposed APIs during external red-team reconnaissance?▼

Subdomain enumeration and API discovery are performed using a consolidated operational index of 28 Swagger/OpenAPI paths, 13 GraphQL paths, and curl one-liners. This probe arsenal eliminates fragmented manual searching across Shodan, crt.sh, and GitHub during authorized red-team operations.

How can I validate exposed secrets found in JavaScript bundles without modifying the target environment?▼

Exposed secrets are validated using 9 read-only validators designed for AWS, GitHub, Slack, Postman, JWT, Anthropic, OpenAI, npm, and Atlassian. This secret triage pipeline classifies 48 discovered patterns using severity ratings and executes post-discovery enumeration workflows safely.

What is the best way to score attack surface interest for web and mobile app targets during bug bounty operations?▼

Attack surface scoring applies a 0-100 endpoint interest rubric and a mobile app ownership confidence matrix. This severity decision matrix provides 80+ worked examples and 27 attack-path hint templates to prioritize vulnerabilities across web and mobile targets.

Does this OSINT skill provide probes for fingerprinting vendor products like Citrix and F5 during vulnerability assessments?▼

Vendor fingerprinting is supported with dedicated probes for Citrix, F5, Pulse, Fortinet, PaloAlto, Cisco, and VMware. The skill includes 35 high-risk port fingerprints and CI/CD exposure checks to identify specific vendor infrastructure during authorized vulnerability assessments.

Can I perform mass reconnaissance and cloud bucket enumeration for specific sectors like healthcare or finance?▼

Sector-specific reconnaissance notes cover healthcare, finance, ICS/SCADA, IoT, and government. An empirical mass-recon methodology for non-regulated US SMB sectors enables parallel batch testing and false-positive filtering, while cloud-bucket permutation generators target S3, GCS, and Azure.