Atlas / Skills / mukul975 / Analyzing Powershell Empire Artifacts

Analyzing Powershell Empire ArtifactsSAFE

skills/mukul975/analyzing-powershell-empire-artifacts

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 ·

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.0
Hosts
—
License
Apache-2.0
Stars
33,876
01

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 ·

Read from source at commit 6c59587be632OBSERVED · 2026-10-07
02

What 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.
03

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.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (2)

LOWObfuscation / stealth · obf.decode_call · CWE-506, CWE-94
scripts/agent.py:106
decoded_bytes = base64.b64decode(encoded_string)
LOWObfuscation / stealth · obf.decode_call · CWE-506, CWE-94
scripts/agent.py:111
decoded_bytes = base64.b64decode(encoded_string)

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 6c59587be632full audit observations/trust-audit/skill/mukul975__analyzing-powershell-empire-artifacts.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-076c59587be632SAFEB89first audit
05

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.

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