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mukul975/Anthropic-Cybersecurity-Skills

공격자가 제어하는 공개 키를 msDS-KeyCredentialLink(섀도 자격 증명)에 작성하여 Active Directory 계정을 탈취하고, PKINIT을 통해 인증하여 비밀번호 재설정 없이 대상의 NT 해시를 복구합니다. BloodHound가 대상에 대해 GenericWrite/GenericAll/AddKeyCredentialLink를 표시할 때, 승인된 레드팀 활동 중 ForceChangePassword보다 은밀한 대안으로 사용됩니다.

Anthropic-Cybersecurity-Skills란 무엇인가요?

이 스킬은 Active Directory 환경에서 권한 상승 및 계정 탈취를 수행하는 데 사용됩니다. pyWhisker, Whisker 또는 Certipy와 같은 도구를 활용하여 공격자가 제어하는 공개 키를 msDS-KeyCredentialLink 속성에 작성(섀도 자격 증명 공격)함으로써, 대상 계정에 대한 인증 자격 증명을 생성합니다. 이후 PKINIT 프로토콜을 통해 인증하여 대상 계정의 NT 해시를 비밀번호 재설정 없이 추출합니다. 이 스킬은 BloodHound 분석 결과에서 GenericWrite, GenericAll 또는 AddKeyCredentialLink 권한이 확인된 대상에 대해, ForceChangePassword보다 더 은밀하고 덜 탐지될 위험이 있는 대안으로 사용됩니다. 주로 승인된 레드팀 모의 침투 테스트 중에 사용되며, 클라이언트 환경에서의 보안 취약점 평가를 돕습니다. 주요 플랫폼으로는 윈도우 및 리눅스 환경을 지원하며, 도메인 컨트롤러와의 통신이 가능해야 합니다.

지원 대상✓Claude Code~Codex CLI~Cursor
npx skills add mukul975/Anthropic-Cybersecurity-Skills

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문서

Anthropic-Cybersecurity-Skills은(는) 무엇을 하나요?

공격자가 제어하는 공개 키를 msDS-KeyCredentialLink(섀도 자격 증명)에 작성하여 Active Directory 계정을 탈취하고, pyWhisker, Whisker 또는 Certipy를 사용한 후 PKINIT을 통해 인증하여 비밀번호 재설정 없이 대상의 NT 해시를 복구합니다. BloodHound가 대상에 대해 GenericWrite/GenericAll/AddKeyCredentialLink를 표시할 때, 승인된 레드팀 모의 침투 테스트 중 ForceChangePassword보다 은밀한 대안으로 사용됩니다.

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

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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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