offensive-osint – skill DevOps & Hạ tầng cho agent AI

Offensive OSINT — External Red-Team Arsenal

> v3.0 — Refactored 2026-05-02 from a 4,168-line monolith into a lean SKILL.md (~400 lines) plus 15 modular reference files in references/. Detail content loads on demand — Claude reads only the reference files relevant to the current task.

0. When to use / When NOT

Use this skill when:

• You need concrete probe paths, wordlists, regexes, payloads, scoring rules, or command-line URLs.
• You're executing reconnaissance and need the actual technical reference (vs. methodology).
• You're building a recon automation and need specific lists to seed it.

Do NOT use this skill when:

• The user is asking for active exploitation, post-exploitation, or anything past reconnaissance.
• The user is asking for defensive / blue-team detections.
• The target's authorization isn't established — see §1.

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1. Authorization & Legal Posture

For assets the operator owns or has written authorization to assess. Soft scope check before acting against an unverified third-party target — see methodology skill §1 for the full posture.

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2. Confidence Levels

• TENTATIVE — plausible based on indirect evidence (snippet-only dork match, single-source asset, inferred email pattern).
• FIRM — directly observed (subdomain resolves, HEAD-confirmed bucket exists, banner returned).
• CONFIRMED — verified via independent corroboration OR direct verification (live PMAK validation, multiple sources agree, listable bucket with object retrieval).

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3. Output Format Conventions

Findings should carry: id, module, asset_key, category, severity (info/low/medium/high/critical), confidence, title, description, evidence (url + UTC timestamp + sha256 + raw ≤ 2 KiB), references, remediation. UTC timestamps everywhere.

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4. Source Hygiene & Citations

URL + UTC timestamp + SHA-256 +tool version + run_id, every artifact. PNG screenshots, JSONL run logs, raw HTTP captures capped at 2 KiB body.

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5. Do NOT

• Don't paste creds/PII/session tokens into cloud LLMs.
• Don't run destructive probes outside DEEP/--aggressive.
• Don't use validated credentials for anything except read-only liveness check.
• Don't single-source attribute.
• Don't assume vendor labels are ground truth.

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6. General OSINT (curated tool refs)

• [OSINT Bookmarks](https://tools.myosint.training/) — comprehensive bookmarks.
• [OSINT Framework](https://osintframework.com/) —tool/resource directory.
• [IntelTechniques Tools](https://inteltechniques.com/tools/) — investigative suite.
• [Bellingcat Toolkit](https://www.bellingcat.com/resources/2024/09/24/bellingcat-online-investigations-toolkit/) — investigative journalism.
• [CyberSudo OSINT Toolkit](https://docs.google.com/spreadsheets/d/1EC0sKA_W9znzsxUt0wye9UYtyATXw5m8) — OSINT websites list.
• [Google Dorks](https://dorksearch.com/) — efficient Google searching.
• [Distributed Denial of Secrets](https://ddosecrets.com/) — leaked datasets.
• [Country-Specific Resources](https://digitaldigging.org/osint/) — country-targeted OSINT.

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How to use this skill

This skill is a lean operational index. Most concrete data (wordlists, regexes, dorks, endpoint catalogs, severity examples) lives in the references/ subfolder, organized by topic.

Workflow when this skill triggers:

1. Read this SKILL.md to anchor on principles (§0-5), scoring rubrics (§20-21), attack-path templates (§39), and the references index below.

2. For task-specific data, read only the reference file(s) you need — do NOT pull all 15. Each reference is self-contained.

3. Use the bug-bounty skill for the local toolkit at ~/security-research/bug-bounty-resources/ and osint-methodology for the planning framework.

Loading rules of thumb:

• Single-class question (e.g., "what's the regex for AWS keys?") → load secret-patterns.md only.
• Multi-class engagement (e.g., "do an external recon on target.com") → load probes-and-wordlists.md first, then add others as the engagement narrows.
• Severity / triage question → load severity-matrix.md.

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References Index

| File | Coverage | Trigger phrases |

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

| probes-and-wordlists.md | API/Swagger/GraphQL paths, cloud-bucket arsenal, JS guess-paths, vendor & cloud-native fingerprints, K8s/CI-CD exposure, doc/wiki leaks, WHOIS/RDAP, DNS catalog, Wayback CDX, copy-paste curl probes, email security analysis, origin/CDN bypass | swagger discovery, graphql introspection, subdomain takeover, cloud bucket enum, S3/GCS/Azure enum, kubernetes exposure, CI CD exposure, vendor fingerprint, WHOIS RDAP, Wayback CDX, copy paste probes, curl one-liner |

| identity-fabric.md | Concrete endpoints for Entra/Okta/ADFS/Google/SAML, M365 deep (Teams federation, SharePoint, OneDrive), GraphQL field-suggestion enumeration, user-enum patterns | identity fabric, SSO discovery, IdP fingerprinting, okta enum, entra enum, azure AD enum, ADFS enum, SAML metadata, Microsoft 365 deep, Teams federation, SharePoint enum, OneDrive enum, graphql field suggestion |

| secret-patterns.md | 48-pattern secret-regex catalog (AWS, GCP, GitHub PATs, Stripe, Slack, JWT, private keys, Anthropic/OpenAI/HuggingFace, Cloudflare, DigitalOcean, npm, PyPI, Docker Hub, Atlassian, DataDog, Sentry, ngrok) with severity & FP notes | secret scanning, secret leak, leaked credential, JWT triage, AWS key triage, Anthropic API key, OpenAI API key |

| secret-validators.md | 9 read-only secret validators + post-discovery enumeration workflows for AWS/GitHub/Slack/Postman/JWT/Anthropic/OpenAI/npm/Atlassian/DataDog | secret validation, post discovery workflow, AWS key triage, JWT triage |

| dork-corpus.md | 80+ Google/Bing/DDG dork templates across 9 categories + 13 GitHub code-search dorks tailored for targets | google dorking, bing dorking, github dorking, dork corpus |

| recon-stack.md | Subdomain-source stack (passive & active), infrastructure & attack-surface OSINT (Shodan/Censys/crt.sh/JARM/favicon mmh3), TLS deep audit, reverse DNS, IPv6 enumeration | subdomain enumeration, certificate transparency, crt.sh, shodan recon, censys recon, JARM, favicon mmh3, TLS deep audit, JA3 JA4, reverse DNS sweep, IPv6 enumeration |

| breach-and-credentials.md | Breach & leak data sources (HudsonRock, HIBP, DeHashed, IntelX, infostealer logs), email-pattern inference, email-harvest source stack | breach lookup, have I been pwned, HudsonRock cavalier, infostealer, dehashed, intelx, email harvest |

| people-osint.md | Search engines, username & email investigation, people search, phone OSINT, social media, public records & company info | username investigation, people search, phone OSINT, social media OSINT, public records |

| saas-public-surfaces.md | Postman public workspace search (verified endpoint), Stack Exchange OSINT sweep, public SaaS dork stack (Notion, Confluence, Trello) | postman workspace, stack exchange OSINT, Notion public, Confluence anonymous, Trello board |

| specialized-osint.md | Threat intel & IOCs, cryptocurrency OSINT, media intelligence, geospatial intelligence, regional search engines, Telegram & messaging intelligence | threat intel, IOCs, cryptocurrency OSINT, media intelligence, geospatial OSINT, regional search, Telegram intelligence |

| recon-techniques.md | LinkedIn employee enumeration, job-posting tech-stack analysis, Slack/Discord/Telegram workspace discovery, package-registry leak hunting (npm/PyPI/Docker Hub/Quay/GHCR), sat imagery for physical recon | LinkedIn enumeration, job posting tech stack, Slack workspace discovery, Discord server discovery, npm token leak, PyPI token leak, Docker Hub leak, sat imagery physical recon |

| severity-matrix.md | 80+ worked examples mapping observed conditions → finding severity (CRITICAL/HIGH/MEDIUM/LOW/INFO) | severity decision, finding severity, severity matrix |

| sector-notes.md | Recon notes for healthcare (DICOM), finance (SWIFT), ICS/SCADA (Modbus/BACnet), IoT, government | sector specific recon, healthcare DICOM, finance SWIFT, ICS SCADA, Modbus, BACnet |

| sector-discovery-mass-recon.md | Complement to sector-notes.md — mass recon of non-regulated US SMB sectors (landscaping, pool services, roofing, HVAC, auto repair, accounting, etc.) with parallel batch testing, false-positive filtering, empirical sector ranking. Reusable Python scanner at scripts/sector_mass_scan.py. | sector discovery, target discovery, non-regulated sectors, US small business recon, WordPress mass recon, parallel batch testing |

| tooling-install.md | Quick-install one-liners for Subfinder, Amass, httpx, nuclei, gau, katana, gowitness, dnsx, mapcidr, naabu, sslyze, testssl.sh, etc. |tooling install, install subfinder, install nuclei, install httpx |

| helpers-and-automation.md | AI-assisted OSINT, archiving & evidence preservation, automation & workflow patterns, cross-module sidecar coordination, runnable secret_scan.py helper notes | AI-assisted OSINT,

… (nội dung đầy đủ có trong gói tải về)