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web-pentest

허가받은 웹 앱의 공개 페이지부터 취약점 재현까지 조사합니다. 확인된 문제의 증거, 영향, 재현 절차와 수정안을 담은 보안 보고서를 작성합니다.

원문원문 설명 보기

Authorized web pentest: recon, proof-based exploits, report.

AI 평가90점/ 100설치 방법 보기

이럴 때 유용합니다

  • 스테이징 환경의 취약점 조사
  • 의심되는 취약점 재현 및 확인
  • 증거와 수정안을 보안 보고서로 정리
  • 소스 조사와 실제 환경 검증을 함께 수행

한국어 소개

할 수 있는 일

테스트 허가를 받은 웹 앱의 취약점을 조사하고 재현 가능한 증거를 첨부한 보고서를 작성합니다. 공개 페이지, 입력란, 인증 방식을 살펴보고 악의적인 입력이나 권한 검사 누락 등의 문제를 분류해 검증합니다. 소스를 읽을 수 있으면 의심되는 코드와 실제 접근 경로를 대조합니다. 확인된 문제에는 요청과 응답, 재현 절차, 영향, 수정안을 정리합니다.

이럴 때 유용합니다

스테이징 환경이나 전용 테스트 환경을 점검할 때 유용합니다. 의심스러운 동작이 실제로 악용 가능한지 확인하고, 미검증 후보와 증거가 있는 문제를 구분해 정리할 때도 도움이 됩니다.

사용 예시

  • “허가받은 스테이징 URL의 취약점을 조사하고 보고서를 작성해 주세요.”
  • “소스 조사 결과와 실제 동작을 대조해 재현 절차를 정리해 주세요.”

주의 사항

Linux와 macOS를 지원하며 nmap, whatweb, curl, 브라우저 등을 사용합니다. 능동 검사 전에 소유권 또는 서면 허가를 확인하고 대상 범위를 기록합니다. 운영 환경이나 파괴적인 검사에는 추가 승인이 필요합니다. 문제가 발견되지 않아도 앱의 안전을 보장하는 보고서는 아닙니다.

이 소개문은 공개된 SKILL.md를 바탕으로 AI(OpenAI Codex)가 작성했습니다. 정확한 사양은 아래 원문을 확인하세요.

객관 평가

AI가 SKILL.md의 내용만을 근거로 4가지 관점에서 판정했습니다. 스타 수나 인기도는 판정에 넣지 않았습니다.

지시의 명확성언제 쓰고 무엇을 하는지 알 수 있는가
A양호허가받은 웹 앱을 대상으로 조사부터 증거를 갖춘 보고까지 수행한다고 명시합니다.
절차의 구체성절차·입출력·예시가 구체적으로 적혀 있는가
A양호단계별 절차, nmap 등 명령 예시, 증거와 조사 결과의 저장 위치를 제시합니다.
안전성전송·삭제·명령 실행 등을 명시하고 있는가
A양호서면 허가 확인, 대상 허용 목록, 파괴적 검사에 대한 추가 승인을 규정합니다.
도입의 용이성필요한 도구나 API 키가 적고 적혀 있는가
B일부 부족Linux, macOS와 nmap 등 도구 사용은 명시하지만 도구 설치 절차는 없습니다.

총점은 각 항목을 A=25점, B=15점, C=5점으로 더한 값입니다. 2026년 10월 19일 기준으로 AI(OpenAI Codex)가 판정했습니다. 참고용이므로 설치 전에 원문도 확인해 주세요.

평가가 다르다고 생각되면 재검토를 요청하기

어느 항목이 왜 다르다고 생각하는지 적어 주세요. 로그인은 필요 없습니다. SKILL.md와 대조해 평가를 다시 만들고 이곳에 반영합니다.

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

포함된 파일(9)

  • SKILL.md12.8 KB
  • references/bypass-techniques.md4.5 KB
  • references/exploitation-techniques.md6.7 KB
  • references/scope-enforcement.md4.0 KB
  • references/vuln-taxonomy.md4.3 KB
  • scripts/recon-scan.sh3.8 KB
  • templates/authorization.md2.4 KB
  • templates/exploitation-queue.json1.2 KB
  • templates/pentest-report.md4.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Web Application Penetration Testing

A phased pentesting workflow for running web applications. Adapted from Shannon's pipeline (Keygraph, AGPL — concepts only, no code borrowed). Built around three rules:

  1. No exploit, no report — every finding requires reproducible evidence.
  2. Bounded scope — every active request goes against a target the operator pre-declared. Off-scope hosts are refused.
  3. Bypass exhaustion before false-positive dismissal — a "blocked" payload is not a clean bill of health until you've tried the bypass set.

⚠️ Hard Guardrails — Read Before Every Engagement

Violating any of these invalidates the engagement and may be illegal.

  1. Authorization gate. Before the first active scan in a session, you MUST confirm with the user, in writing, that they own or have written authorization to test the target. Record the acknowledgement in engagement/authorization.md (see template). No acknowledgement → no active scanning. Reading public pages with curl is fine; sending payloads is not.

  2. Scope allowlist. Maintain engagement/scope.txt — one hostname or CIDR per line. Every nmap, curl, whatweb, browser navigation, or payload-bearing request MUST be against an entry in scope. If a target redirects you off-scope (3xx to a different host, a link in HTML), STOP and confirm with the user before following.

  3. No production systems without paper. If the user hasn't told you "yes, prod is in scope and I have written sign-off," assume not. Default targets are staging, local docker, dedicated test instances.

  4. Cloud metadata is off by default. Do not probe 169.254.169.254, metadata.google.internal, 100.100.100.200, [fd00:ec2::254], or equivalent unless the engagement explicitly includes SSRF-to-metadata as a goal AND the target is one you control. The agent's browser tool can reach these from inside your own infrastructure — don't.

  5. Destructive payloads need approval. SQLi payloads that DROP/DELETE, filesystem-write SSTI, command injection with rm/shutdown/mkfs, anything that mutates beyond a single test row → ASK FIRST. The approval.py system catches some; don't rely on it alone.

  6. Aux-client leakage risk (Hermes-specific). This skill produces sessions full of SQLi/XSS/RCE payloads, captured credentials, JWT tokens. Hermes' compression and title-generation paths replay history through the auxiliary client (often the main model). Anything sensitive you write to the conversation can leave the box on the next compress. Mitigation:

    • Redact captured tokens/credentials to the LAST 6 CHARS before logging them in any message. Full values go to engagement/evidence/ files, never into chat history.
    • If the engagement is sensitive, set auxiliary.title_generation.enabled: false in ~/.hermes/config.yaml for the session.
  7. Rate limit yourself. Default 200ms between active requests against any single host. The recon-scan.sh script enforces this. Don't bypass it without operator approval.

  8. Authority of the report. This skill produces a security assessment, not a "PASS." Even a clean run is "no exploitable issues FOUND in scope X within time T using methods Y" — not "the application is secure." Mirror that language in the report.


Phase 0: Engagement Setup

Before any scanning happens, create the engagement directory and authorization acknowledgement.

ENGAGEMENT=engagement-$(date +%Y%m%d-%H%M%S)
mkdir -p "$ENGAGEMENT"/{evidence,findings,reports}
cd "$ENGAGEMENT"
  1. Ask the user (verbatim):

    "Confirm: (a) the target URL is [X], (b) you own this application or have written authorization to test it, and (c) the engagement may run for up to [N] hours starting now. Reply 'authorized' to proceed."

  2. Wait for explicit authorized response. Any other answer means STOP.

  3. Record authorization to engagement/authorization.md using the template in templates/authorization.md. Include:

    • Target URL(s) and IP(s)
    • Authorization basis (ownership / written authz from $name)
    • Engagement window
    • Out-of-scope items (production, third-party services, etc.)
    • Operator name (the user driving this session)
  4. Build scope.txt:

    localhost
    127.0.0.1
    staging.example.com
    192.168.1.0/24    # internal lab only, with operator OK
    
  5. Read references/scope-enforcement.md before issuing the first active request — that doc has the host-extraction rules you apply to every command/URL before it goes out.


Phase 1: Pre-Recon (Code Analysis, optional)

Skip if no source access (black-box engagement).

If you have read access to the application source:

  1. Map the architecture — framework, routing, middleware stack
  2. Inventory sinks — every execute(, os.system(, eval(, template render, file read/write, redirect target
  3. Map auth — session cookie vs JWT, OAuth flows, password reset, privileged endpoints
  4. Identify trust boundaries — what's authenticated, what's not, what comes from request.*
  5. Backward taint from each sink to a request source. Early-terminate when proper sanitization is found (parameterized queries, allowlists, shlex.quote, well-known escapers).

Output: evidence/pre-recon.md — architecture map, sink inventory, suspected vulnerable code paths.

This is OFFLINE work. No traffic to the target.


Phase 2: Recon (Live, Read-Only)

Maps the attack surface. All requests are GETs of public pages, no payloads yet. Still scope-bounded.

  1. Verify scope. Resolve every target hostname → IP. Confirm IPs are in scope (avoids the "DNS points somewhere unexpected" trap).

  2. Network surface (only if scope permits port scanning):

    nmap -sT -T3 --top-ports 100 -oN evidence/nmap.txt $TARGET
    

    Use -T3 (default), not -T4/-T5. Stealthier and avoids tripping IDS/IPS in shared environments.

  3. Tech fingerprint:

    whatweb -v $TARGET_URL > evidence/whatweb.txt
    curl -sIk $TARGET_URL > evidence/headers.txt
    
  4. Endpoint discovery:

    • Crawl the app with the browser tool (browser_navigate, browser_get_images, follow links).
    • Inspect robots.txt, sitemap.xml, .well-known/*.
    • Use the developer tools network panel via browser tool to capture XHR/fetch calls.
  5. Auth surface: Identify login, registration, password reset, session cookie names, token formats. Do NOT send credentials yet — just observe.

  6. Correlate with pre-recon (if you have source). For each evidence/pre-recon.md finding, mark whether the live surface confirms it's reachable.

Output: evidence/recon.md — endpoints, technologies, auth model, input vectors.


Phase 3: Vulnerability Analysis

One delegate_task per vulnerability class. Each agent reads evidence/recon.md (+ evidence/pre-recon.md if present), produces findings/<class>-queue.json using templates/exploitation-queue.json.

Use delegate_task with these focused subagents (parallel where possible):

ClassGoalReference
injectionSQLi, command, path traversal, SSTI, LFI/RFI, deserializationreferences/vuln-taxonomy.md (slot types)
xssReflected, stored, DOM-basedreferences/vuln-taxonomy.md (render contexts)
authLogin bypass, JWT confusion, session fixation, OAuth flawsreferences/exploitation-techniques.md
authzIDOR, vertical/horizontal escalation, business logicreferences/exploitation-techniques.md
ssrfInternal reachability, metadata, protocol smugglingSkip metadata unless explicitly authorized
infraMisconfig, info disclosure, default creds, exposed adminreferences/exploitation-techniques.md

Each queue entry has: id, vuln class, source (file:line if known), endpoint, parameter, slot type, suspected defense, verdict (identified / partial / confirmed / critical), witness payload, confidence (0-1), notes.

The analysis phase doesn't send malicious payloads yet — it stages them. The exploitation phase actually fires them.


Phase 4: Exploitation (Proof-Based, Conditional)

Only run a sub-agent per class where the analysis queue has actionable entries (identified or partial).

For each candidate:

  1. Pre-send check — host in scope? auth gate satisfied? payload approved if destructive?
  2. Send the witness payload — minimal proof. SQLi: ' AND 1=1-- then ' AND 1=2--. XSS: a benign marker like <svg/onload=console.log("HERMES-PENTEST-XSS")>. Never alert(1) in stored XSS — it'll fire for other users in shared environments.
  3. Verify the witness fires — for blind injection, use a sleep probe (SLEEP(5)) and time the response. For SSRF, use a tester-controlled callback host you own (NOT a public service like webhook.site for sensitive engagements — exfil paths).
  4. Promote level:
    • L1 Identified — pattern matched, no behavior change
    • L2 Partial — sink reached, but defense in place
    • L3 Confirmed — payload changed app behavior in observable way
    • L4 Critical — data extracted, code executed, access escalated
  5. Bypass exhaustion before classifying as FP. For each candidate that blocks: try at least the bypass set in references/bypass-techniques.md for that class. Only after the set is exhausted may you write verdict: false_positive.
  6. Record evidence for every L3/L4:
    • Full request (method, URL, headers, body)
    • Response (status, headers, relevant body excerpt)
    • Reproducer command (curl one-liner)
    • Impact statement

Output: findings/exploitation-evidence.md

Redact in evidence files:

  • Any captured credentials/tokens → last 6 chars only in chat; full value to findings/secrets-vault.md (gitignored).
  • Other users' PII → redact.
  • Your test credentials → fine to keep.

Phase 5: Reporting

Generate the final report using templates/pentest-report.md. Sections:

  1. Executive summary
  2. Engagement scope (from engagement/scope.txt)
  3. Authorization (from engagement/authorization.md)
  4. Findings (L3/L4 only — proof-required). Per finding:
    • Title, severity (CVSS 3.1), CWE
    • Affected endpoint(s)
    • Proof (request + response excerpt)
    • Reproduction steps
    • Impact
    • Remediation
  5. Not-exploited candidates (L1/L2 with notes on what blocked them)
  6. Out-of-scope observations
  7. Methodology / tools used
  8. Limitations and what was NOT tested

Severity policy: CVSS only for L3/L4. L1/L2 are "candidates pending verification" — don't assign CVSS to unverified findings.


When to Stop

  • The user revokes authorization.
  • A candidate finding clearly impacts production data and you don't have approval for destructive testing — STOP and ask.
  • The target starts returning 503/429 storms — back off, reconvene with the operator.
  • You discover something outside the contracted scope (e.g. an exposed customer database while testing an unrelated endpoint). STOP, document, report to the operator. Do not pivot without explicit approval — that pivot is what makes pentesting illegal.

What This Skill Does NOT Cover

  • Network-layer pentesting beyond port scanning (no Metasploit, Cobalt Strike, AD attacks, network protocol fuzzing).
  • Reverse engineering / binary analysis (see issue #383).
  • Source-only static analysis (see issue #382).
  • Active social engineering / phishing.
  • Anything against systems the operator hasn't pre-authorized.

If the engagement needs any of these, escalate to a professional pentester. This skill complements professional pentesting; it does not replace it.


Further Reading

  • references/scope-enforcement.md — how to bound every active request
  • references/vuln-taxonomy.md — slot types, render contexts, OWASP map
  • references/exploitation-techniques.md — per-class payload patterns
  • references/bypass-techniques.md — common WAF/filter bypasses
  • templates/authorization.md — engagement authorization template
  • templates/pentest-report.md — final report template
  • templates/exploitation-queue.json — per-class finding queue schema
  • scripts/recon-scan.sh — rate-limited nmap+whatweb+headers wrapper

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

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이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

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