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웹 서버 로그 침입 탐지 분석

Apache 및 Nginx 접근 로그를 파싱하여 SQL 인젝션 시도, LFI, XSS 등 침입 패턴을 탐지합니다.

웹 서버 로그 침입 탐지 분석란 무엇인가요?

이 스킬은 Apache와 Nginx 웹 서버 접근 로그를 자동으로 분석하여 주요 침입 시도를 탐지하는 규칙 기반 분석 도구입니다. SOC 분석가 또는 보안 엔지니어가 수동으로 로그를 검토하는 대신, 파이썬 스크립트를 통해 SQL 인젝션, LFI/Path Traversal, XSS, 스캐너 시그니처, 무차별 대입 공격을 신속하게 탐지할 수 있습니다. 분석 결과는 GeoIP 데이터로 보강되어 우선순위가 매겨진 보고서로 생성되며, CLI 기반으로 쉽게 자동화할 수 있습니다. 지원 플랫폼은 Claude Code, Cursor, Codex 등 Python 실행 환경과 호환되는 모든 AI 에이전트이며, 보안 모니터링 커버리지 검증 및 위협 헌팅 쿼리 작성에도 유용합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-web-server-logs-for-intrusion
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이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

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문서

웹 서버 로그 침입 탐지 분석은(는) 무엇을 하나요?

사용 시기

  • 보안 사고를 조사할 때 웹 서버 로그 분석이 필요한 경우
  • 이 도메인에 대한 탐지 규칙 또는 위협 헌팅 쿼리를 구축할 때
  • SOC 분석가가 해당 분석 유형에 대한 구조화된 절차가 필요할 때
  • 관련 공격 기법에 대한 보안 모니터링 커버리지를 검증할 때

사전 요구 사항

  • 보안 운영 개념 및 도구에 대한 친숙함
  • 안전한 실행을 위한 테스트 또는 랩 환경 접근
  • 필수 종속성이 설치된 Python 3.8+
  • 모든 테스트 활동에 대한 적절한 권한

지침

  1. 종속성 설치: pip install geoip2 user-agents
  2. Apache 또는 Nginx 기본 형식의 웹 서버 접근 로그를 수집합니다.
  3. 각 로그 항목을 파싱하여 다음 정보 추출: IP, 타임스탬프, 메서드, URI, 상태 코드, 응답 크기, 사용자 에이전트, 리퍼러
  4. 탐지 규칙 적용:
    • SQL 인젝션: UNION SELECT, OR 1=1, ' OR ', 16진수 인코딩 패턴
    • LFI/경로 탐색: ../, /etc/passwd, /proc/self, php://filter
    • XSS: <script>, javascript:, onerror=, onload=
    • 스캐너 시그니처: nikto, sqlmap, dirbuster, gobuster, wfuzz 사용자 에이전트
    • 무차별 대입: 5분 내 동일 IP에서 로그인 엔드포인트로 50회 이상의 POST 요청
  5. GeoIP 데이터로 보강하고 우선순위가 매겨진 결과 보고서를 생성합니다.
python scripts/agent.py --log-file /var/log/nginx/access.log --geoip-db GeoLite2-City.mmdb --output web_intrusion_report.json

예시

URI에서 SQLi 탐지

192.168.1.100 - - [15/Jan/2024:10:30:45 +0000] "GET /products?id=1' UNION SELECT username,password FROM users-- HTTP/1.1" 200 4532

스캐너 사용자 에이전트 탐지

Nikto/2.1.6, sqlmap/1.7, DirBuster-1.0-RC1, gobuster/3.1.0

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

abusing-dpapi-for-credential-access

Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket

abusing-shadow-credentials-for-privesc

Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target

achieving-cmmc-level-2-compliance

>-

acquiring-disk-image-with-dd-and-dcfldd

Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.

analyzing-active-directory-acl-abuse

Detect dangerous ACL misconfigurations in Active Directory using ldap3

analyzing-android-malware-with-apktool

Perform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.

analyzing-api-gateway-access-logs

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect

analyzing-apt-group-with-mitre-navigator

Query ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups

analyzing-azure-activity-logs-for-threats

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query

analyzing-bootkit-and-rootkit-samples

Analyzes bootkit and advanced rootkit malware infecting the Master

analyzing-browser-forensics-with-hindsight

Parse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user

analyzing-campaign-attribution-evidence

Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.

analyzing-certificate-transparency-for-phishing

Monitor Certificate Transparency logs using crt.sh and Certstream to

analyzing-cloud-storage-access-patterns

Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.

analyzing-cobalt-strike-beacon-configuration

Extract and analyze Cobalt Strike beacon configuration from PE files

analyzing-cobaltstrike-malleable-c2-profiles

Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.

analyzing-command-and-control-communication

Analyzes malware C2 communication over HTTP, HTTPS, DNS, and custom

analyzing-cyber-kill-chain

Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain

analyzing-disk-image-with-autopsy

Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.

analyzing-dns-logs-for-exfiltration

Analyzes DNS query logs to detect data exfiltration via DNS tunneling,

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openclaw/openclaw

Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.

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obra/superpowers

Obra superpowers agent skills.

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affaan-m/ECC

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