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TLS 인증서 투명성 로그 분석

crt.sh 및 pycrtsh를 사용하여 인증서 투명성 로그를 조회해 피싱 인프라를 탐지합니다.

TLS 인증서 투명성 로그 분석란 무엇인가요?

이 스킬은 보안 분석가가 TLS 인증서 투명성(CT) 로그를 분석하여 조직 브랜드를 사칭하는 악성 도메인을 식별할 수 있도록 돕습니다. crt.sh 데이터베이스와 pycrtsh Python 라이브러리를 활용하여 인증서 패턴을 검색하고, 타이포스쿼팅 변형이나 예상치 못한 인증 기관(CA)에서 발급된 인증서 등 이상 징후를 탐지합니다. SOC 분석가, 위협 헌팅 담당자, 탐지 엔지니어에게 유용하며, Python 3.8 이상 환경이 필요합니다. 주요 사용 사례로는 피싱 인프라 탐지, 보안 모니터링 범위 검증, 침해 사고 조사가 포함됩니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-tls-certificate-transparency-logs

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

TLS 인증서 투명성 로그 분석은(는) 무엇을 하나요?

사용 시기

  • TLS 인증서 투명성 로그를 분석해야 하는 보안 사고를 조사할 때
  • 이 도메인에 대한 탐지 규칙이나 위협 헌팅 쿼리를 구축할 때
  • SOC 분석가에게 이 분석 유형에 대한 체계적인 절차가 필요할 때
  • 관련 공격 기법에 대한 보안 모니터링 범위를 검증할 때

전제 조건

  • 보안 운영 개념 및 도구에 대한 이해
  • 안전한 실행을 위한 테스트 또는 실습 환경 접근 권한
  • 필요한 종속성이 설치된 Python 3.8+
  • 모든 테스트 활동에 대한 적절한 승인

지침

조직 브랜드와 유사한 도메인에 대해 발급된 인증서를 찾기 위해 crt.sh 인증서 투명성 데이터베이스를 쿼리하여 피싱 인프라를 탐지합니다.

from pycrtsh import Crtsh

c = Crtsh()
# 도메인과 일치하는 인증서 검색
certs = c.search("example.com")
for cert in certs:
    print(cert["id"], cert["name_value"])

# 전체 인증서 세부 정보 가져오기
details = c.get(certs[0]["id"], type="id")

주요 분석 단계:

  1. 도메인 패턴과 일치하는 모든 인증서를 crt.sh에 쿼리합니다.
  2. 타이포스쿼팅 변형(레벤슈타인 거리)이 있는 인증서를 식별합니다.
  3. 예상치 못한 CA에서 발급된 인증서에 플래그를 지정합니다.
  4. 의심스러운 하위 도메인의 와일드카드 인증서를 모니터링합니다.
  5. 알려진 피싱 인프라와 상호 참조합니다.

예제

from pycrtsh import Crtsh
c = Crtsh()
certs = c.search("%.example.com")
for cert in certs:
    print(f"발급자: {cert.get('issuer_name')}, 도메인: {cert.get('name_value')}")

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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