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analyzing-threat-actor-ttps-with-mitre-navigator

利用 attackcti Python 库查询 STIX/TAXII 数据,将高级持续性威胁(APT)组织的 TTP 映射到 MITRE ATT&CK 框架,生成 ATT&CK Navigator 层文件,用于可视化和比较防御覆盖与对手画像。适用于对 APT 组织进行画像的场景。

analyzing-threat-actor-ttps-with-mitre-navigator 是什么?

该技能旨在帮助安全分析师自动将高级持续性威胁(APT)组织的战术、技术与程序(TTP)映射到 MITRE ATT&CK 框架,并生成可交互的 ATT&CK Navigator 层文件。它利用 attackcti Python 库通过 TAXII 协议查询 ATT&CK STIX 数据,提取特定组织关联的技术,并格式化为 Navigator 层 JSON 格式。分析师可以叠加检测覆盖数据进行差距分析,导出层文件用于团队评审和防御规划。该技能支持在 Python 3.8+ 环境中运行,需要安装 attackcti 和 stix2 库,并配合 MITRE ATT&CK Navigator(Web 或本地实例)使用。通过自动化映射过程,显著减少手动工作量,使 SOC 分析师能够更高效地验证安全监控覆盖、构建检测规则或进行威胁狩猎。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-threat-actor-ttps-with-mitre-navigator

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文档

使用 MITRE Navigator 分析威胁行为者 TTP

概述

MITRE ATT&CK Navigator 是一个用于注释和可视化 ATT&CK 矩阵的 Web 应用程序。结合 attackcti Python 库(通过 TAXII 查询 ATT&CK STIX 数据),分析师可以编程生成特定威胁组织 TTP 的 Navigator 层文件,比较多个组织,并评估针对已知对手的检测覆盖差距。

使用场景

  • 调查需要分析威胁行为者 TTP 的安全事件时
  • 为此领域构建检测规则或威胁狩猎查询时
  • 当 SOC 分析师需要此类分析的结构化流程时
  • 验证相关攻击技术的安全监控覆盖范围时

前提条件

  • Python 3.8+,并安装 attackcti 和 stix2 库
  • MITRE ATT&CK Navigator(Web 界面或本地实例)
  • 了解 STIX 2.1 对象及关系

步骤

  1. 使用 attackcti 查询目标威胁组织的 ATT&CK STIX 数据
  2. 通过 STIX 关系提取与该组织关联的技术
  3. 生成带有技术注释的 ATT&CK Navigator 层 JSON
  4. 叠加检测覆盖数据以识别差距
  5. 导出层文件用于团队评审和防御规划

预期输出

{
  "name": "APT29 TTPs",
  "domain": "enterprise-attack",
  "techniques": [
    {"techniqueID": "T1566.001", "score": 1, "comment": "鱼叉式附件"},
    {"techniqueID": "T1059.001", "score": 1, "comment": "PowerShell"}
  ]
}

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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