Analyzing Powershell Empire ArtifactsSAFE
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
Overview
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
6c59587be632OBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: analyzing-powershell-empire-artifacts description: Detect PowerShell Empire post-exploitation framework artifacts in Windows Script Block Logging (Event ID 4104) and Module Logging (Event ID 4103), including the default launcher string, Base64-encoded WebClient/FromBase64String payloads, known module invocations (Invoke-Mimikatz, Invoke-Kerberoast), and staging URL patterns. Use when hunting for or confirming Empire C2 activity in Windows event logs. domain: cybersecurity subdomain: threat-hunting tags: - PowerShell-Empire - threat-hunting - Script-Block-Logging - base64 - stager - C2 - MITRE-ATT&CK - T1059.001 - forensics version: '1.0' author: mahipal license: Apache-2.0 d3fend_techniques: - Executable Denylisting - Execution Isolation - File Metadata Consistency Validation - Content Format Conversion - File Content Analysis nist_ai_rmf: - GOVERN-1.1 - MEASURE-2.7 - MANAGE-3.1 nist_csf: - DE.CM-01 - DE.AE-02 - DE.AE-07 - ID.RA-05 mitre_attack: - T1059.001 - T1071.001 - T1003.001 - T1558.003 - T1027.010 --- # Analyzing PowerShell Empire Artifacts ## Overview PowerShell Empire is a post-exploitation framework consisting of listeners, stagers, and agents. Its artifacts leave detectable traces in Windows event logs, particularly PowerShell Script Block Logging (Event ID 4104) and Module Logging (Event ID 4103). This skill analyzes event logs for Empire's default launcher string (`powershell -noP -sta -w 1 -enc`), Base64 encoded payloads containing `System.Net.WebClient` and `FromBase64String`, known module invocations (Invoke-Mimikatz, Invoke-Kerberoast, Invoke-TokenManipulation), and staging URL patterns. ## When to Use - When investigating security incidents that require analyzing powershell empire artifacts - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques ## Prerequisites - Python 3.9+ with access to Windows Event Log or exported EVTX files - PowerShell Script Block Logging (Event ID 4104) enabled via Group Policy - Module Logging (Event ID 4103) enabled for comprehensive coverage ## Key Detection Patterns 1. **Default launcher** — `powershell -noP -sta -w 1 -enc` followed by Base64 blob 2. **Stager indicators** — `System.Net.WebClient`, `DownloadData`, `DownloadString`, `FromBase64String` 3. **Module signatures** — Invoke-Mimikatz, Invoke-Kerberoast, Invoke-TokenManipulation, Invoke-PSInject, Invoke-DCOM 4. **User agent strings** — default Empire user agents in HTTP listener configuration 5. **Staging URLs** — `/login/process.php`, `/admin/get.php` and similar default URI patterns ## Output JSON report with matched IOCs, decoded Base64 payloads, timeline of suspicious events, MITRE ATT&CK technique mappings, and severity scores.
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (2)
decoded_bytes = base64.b64decode(encoded_string)
decoded_bytes = base64.b64decode(encoded_string)
Gates applied: no_behavioural_pass.
6c59587be632full audit observations/trust-audit/skill/mukul975__analyzing-powershell-empire-artifacts.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 6c59587be632 | SAFE | B | 89 | first audit |
Questions
What does the Analyzing Powershell Empire Artifacts skill do?
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
Is Analyzing Powershell Empire Artifacts safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Analyzing Powershell Empire Artifacts access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (6c59587be632), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.