Communitygithub.com

分析 PowerShell Empire 入侵痕跡

在 Windows 指令碼區塊記錄 (事件識別碼 4104) 和模組記錄 (事件識別碼 4103) 中偵測 PowerShell Empire 後滲透框架的入侵痕跡,包括預設啟動器字串、Base64 編碼的 WebClient/FromBase64String 酬載、已知模組呼叫 (Invoke-Mimikatz、Invoke-Kerberoast) 以及中繼 URL 模式。用於在 Windows 事件記錄中追蹤或確認 Empire C2 活動。

分析 PowerShell Empire 入侵痕跡 是什麼?

此技能專注於分析 PowerShell Empire 後滲透框架在 Windows 事件記錄中留下的痕跡。它支援分析 PowerShell 指令碼區塊記錄 (事件識別碼 4104) 和模組記錄 (事件識別碼 4103),能識別出 Empire 的預設啟動器字串 (`powershell -noP -sta -w 1 -enc`)、包含 `System.Net.WebClient` 和 `FromBase64String` 的 Base64 編碼酬載、著名的模組呼叫 (如 Invoke-Mimikatz、Invoke-Kerberoast) 以及預設的中繼 URL 模式 (如 `/login/process.php`)。這對於 SOC 分析師進行資安事件調查、建立偵測規則、執行威脅狩獵以及驗證相關攻擊技術的監控覆蓋範圍至關重要。輸出結果為 JSON 格式報告,包含比對到的入侵指標 (IOC)、解碼後的 Base64 酬載、可疑事件時間線、MITRE ATT&CK 技術映射以及風險評分。使用此技能需具備 Python 3.9+ 環境,並已啟用相關記錄原則。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-powershell-empire-artifacts

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

分析 PowerShell Empire 入侵痕跡 是做什麼的?

概觀

PowerShell Empire 是一個由監聽器、傳送器和代理程式組成的後滲透框架。其入侵痕跡會在 Windows 事件記錄中留下可偵測的蹤跡,特別是 PowerShell 指令碼區塊記錄 (事件識別碼 4104) 和模組記錄 (事件識別碼 4103)。此技能分析事件記錄中的 Empire 預設啟動器字串 (powershell -noP -sta -w 1 -enc)、包含 System.Net.WebClient 和 FromBase64String 的 Base64 編碼酬載、已知模組呼叫 (Invoke-Mimikatz、Invoke-Kerberoast、Invoke-TokenManipulation) 以及中繼 URL 模式。

使用時機

  • 調查需要分析 PowerShell Empire 入侵痕跡的資安事件時
  • 為此領域建立偵測規則或威脅狩獵查詢時
  • SOC 分析師需要此分析類型的結構化程序時
  • 驗證相關攻擊技術的資安監控覆蓋範圍時

先決條件

  • Python 3.9+,並能存取 Windows 事件記錄或匯出的 EVTX 檔案
  • 透過群組原則啟用 PowerShell 指令碼區塊記錄 (事件識別碼 4104)
  • 啟用模組記錄 (事件識別碼 4103) 以獲得全面覆蓋

關鍵偵測模式

  1. 預設啟動器 — powershell -noP -sta -w 1 -enc 後接 Base64 blob
  2. 傳送器指標 — System.Net.WebClient、DownloadData、DownloadString、FromBase64String
  3. 模組特徵 — Invoke-Mimikatz、Invoke-Kerberoast、Invoke-TokenManipulation、Invoke-PSInject、Invoke-DCOM
  4. 使用者代理字串 — HTTP 監聽器設定中的預設 Empire 使用者代理
  5. 中繼 URL — /login/process.php、/admin/get.php 等預設 URI 模式

輸出

JSON 格式報告,包含比對到的入侵指標 (IOC)、解碼後的 Base64 酬載、可疑事件時間線、MITRE ATT&CK 技術映射以及風險評分。

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,

相關技能