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分析勒索軟體網路指標

識別勒索軟體相關的網路指標，包括C2信標模式、TOR出口節點連線、資料外洩流量及加密金鑰交換，透過分析Zeek conn.log和NetFlow資料。適用於威脅獵捕以尋找活躍勒索軟體網路活動，或事件應變期間調查可疑的加密前外洩行為。

分析勒索軟體網路指標是什麼？

此技能專注於分析勒索軟體執行前後的網路指標，協助安全分析師或AI代理從Zeek conn.log及NetFlow資料中偵測C2信標模式、TOR出口節點連線、大規模外送資料傳輸及可疑DNS活動。它支援Zeek、NetFlow等網路記錄格式，並提供結構化的步驟（從解析連線日誌到產出含MITRE ATT&CK對應的報告），其自動化風險評分與複合指標關聯能力有助於提升事件應變效率。適用於Palo Alto Cortex XSIAM、AWS Security Lake、Databricks SQL（Presto/Trino）、Cloudflare Logpush、splunk、Azure Data Explorer（Kusto）及Snowflake等主要平台。此技能透過解析連線記錄、計算區間統計（平均值、標準差、變異係數）以偵測信標行為、交叉比對TOR出口節點、標記異常高上傳比例的連線、分析類DGA域名，最後產出JSON報告。

相容平台~Claude Code~Codex CLI~Cursor

npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-ransomware-network-indicators

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說明文件

分析勒索軟體網路指標是做什麼的？

概述

在勒索軟體執行之前及期間，攻擊者會建立C2通道、外洩資料及下載加密金鑰。此技能分析Zeek conn.log和NetFlow資料，以偵測信標模式（固定間隔回呼）、對已知TOR出口節點的連線、大量外送資料傳輸，以及與勒索軟體家族相關的可疑DNS活動。

使用時機

在調查需要分析勒索軟體網路指標的安全事件時
在為此領域建立偵測規則或威脅獵捕查詢時
當SOC分析師需要此類分析的結構化程序時
在驗證相關攻擊技術的安全監控覆蓋範圍時

前提條件

Zeek conn.log檔案或NetFlow CSV/JSON匯出資料
Python 3.8+ 及標準函式庫
TOR出口節點清單（從Tor專案或威脅情資來源取得）
可選：已知勒索軟體C2 IOC清單

步驟

解析連線日誌 — 將Zeek conn.log（TSV）或NetFlow記錄匯入結構化格式
偵測信標模式 — 計算連線區間統計量（平均值、標準差、變異係數）以識別週期性回呼
檢查TOR出口節點連線 — 將目標IP與當前TOR出口節點清單進行交叉比對
識別資料外洩 — 標記對外部IP具有異常高上行位元組比例的連線
分析DNS模式 — 偵測類DGA域名查詢及高熵子域名
評分與關聯 — 對所有指標類型應用複合風險評分
產出報告 — 產生結構化報告，包含時間軸及MITRE ATT&CK對應

預期輸出

JSON報告，包含信標偵測結果及區間統計資料
TOR出口節點連線警示
資料外洩流程分析
複合勒索軟體風險評分（附MITRE對應：T1071、T1573、T1041）

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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