OSINT-based technology stack identification. Routes to 6 domain sub-skills (frontend, backend, infra, security, osint, correlation) to discover a target's stack from publicly available signals.
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Passive OSINT reconnaissance to identify a target's technology stack. No credentials, no active scanning — only publicly available signals.
1. Provide company name (+ optional domain hint)
2. Run infra first (asset inventory) → frontend / backend / security / osint in parallel
3. Pass all signals into correlation → final report (JSON + Markdown)
| Sub-skill | Identifies | Read |
|---|---|---|
| frontend | JS frameworks, meta-frameworks, CSS libraries, build tools, CMS via DOM/HTML/JS | frontend/SKILL.md |
| backend | Web servers, runtimes, languages, frameworks, DB, APIs, CMS | backend/SKILL.md |
| infra | Cloud, CDN/WAF, DNS, TLS/CT, DevOps, asset discovery (domains/subdomains/IPs) | infra/SKILL.md |
| security | Security headers, CSP, email auth, security.txt, third-party SaaS | security/SKILL.md |
| osint | Public repos (GitHub/GitLab), job postings/ATS, Wayback Machine | osint/SKILL.md |
| correlation | Cross-validation, confidence scoring, conflict resolution | correlation/SKILL.md |
| Objective | Mount |
|---|---|
| Full stack discovery | infra → (frontend, backend, security, osint) → correlation |
| CDN/WAF identification only | infra |
| API surface mapping | backend |
| Supply-chain / SaaS exposure | security + osint |
| CVE matching by version | backend + frontend (then correlation) |
| Migration / historical context | osint (web archive) + correlation |
| CMS fingerprint | frontend (HTML generators) + backend (CMS paths/cookies) |
| Asset inventory only | infra (domain discovery, subdomain enum, IP attribution, CT) |
Computed in correlation/. Target distribution: 50-70% High, 20-35% Medium, <15% Low.
{ "report_id": "uuid", "company": "string", "primary_domain": "string",
"discovered_assets": {"domains", "subdomains", "ip_addresses", "certificates", "api_portals"},
"technologies": {
"frontend": [{"name", "version?", "confidence", "evidence": []}],
"backend": [...], "infrastructure": [...], "security": [...],
"devops": [...], "third_party": [...] },
"confidence_summary": {"high_confidence", "medium_confidence", "low_confidence", "overall_score"} }
crt.sh 10/min · GitHub (unauth) 60/h · HTTP 30/min/domain · DNS 30/min · Wayback CDX 15/min · WHOIS 5/min.
Passive only. No active scanning, credentialed access, zone transfers, or brute force. Public sources only. Log every external request for audit.
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Offensive AI security testing and exploitation framework. Systematically tests LLM applications for OWASP Top 10 vulnerabilities including prompt injection, model extraction, data poisoning, and supply chain attacks. Integrates with pentest workflows to discover and exploit AI-specific threats.
日本語の概要は準備中です。原文の説明を表示しています。
API security testing - GraphQL, REST API, WebSocket, and Web-LLM attack techniques.
日本語の概要は準備中です。原文の説明を表示しています。
Stitches confirmed single-asset findings into multi-hop attack paths across the organization. Builds a graph where nodes are assets and edges are confirmed exploit hops citing the findings that enable them.
日本語の概要は準備中です。原文の説明を表示しています。
Acquire an authenticated session THROUGH MFA/OTP on an in-scope target and emit a reusable session artifact (Playwright storageState + Bearer) so executors can test the post-auth attack surface. Use when the highest-value authenticated classes (BOLA/IDOR/mass-assignment/injection on the real data APIs) are blocked because login is gated by SMS-OTP or TOTP MFA. Distinct from the authentication skill (which ATTACKS auth); this one legitimately authenticates and hands the session to the rest of the engagement.
日本語の概要は準備中です。原文の説明を表示しています。
Authentication security testing - auth bypass, JWT attacks, OAuth flaws, password attacks, 2FA bypass, CAPTCHA bypass, and bot detection evasion.
日本語の概要は準備中です。原文の説明を表示しています。
Smart contract security testing and blockchain CTF exploitation. Covers Solidity vulnerability analysis, EVM storage manipulation, delegatecall attacks, CREATE/CREATE2 address prediction, and common DeFi exploit patterns. Use when analyzing Solidity contracts, solving blockchain challenges, or testing smart contract security.
日本語の概要は準備中です。原文の説明を表示しています。