mirror of
https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
synced 2026-07-20 06:20:58 +03:00
Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions) based on subdomain and content analysis. Restores 11 skills corrupted during prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields. All 754 skills now carry structured mappings for all 5 security frameworks: - MITRE ATT&CK (in tags) - MITRE ATLAS v5.5 (atlas_techniques) - MITRE D3FEND v1.3 (d3fend_techniques) - NIST AI RMF 1.0 (nist_ai_rmf) - NIST CSF 2.0 (nist_csf)
74 lines
2.4 KiB
Markdown
74 lines
2.4 KiB
Markdown
---
|
|
name: hunting-for-anomalous-powershell-execution
|
|
description: 'Hunt for malicious PowerShell activity by analyzing Script Block Logging (Event 4104), Module Logging (Event
|
|
4103), and process creation events. The analyst parses Windows Event Log EVTX files to detect obfuscated commands, AMSI
|
|
bypass attempts, encoded payloads, credential dumping keywords, and suspicious download cradles. Activates for requests
|
|
involving PowerShell threat hunting, script block analysis, encoded command detection, or AMSI bypass identification.
|
|
|
|
'
|
|
domain: cybersecurity
|
|
subdomain: threat-hunting
|
|
tags:
|
|
- powershell
|
|
- script-block-logging
|
|
- event-4104
|
|
- amsi
|
|
- threat-hunting
|
|
- evtx
|
|
- obfuscation
|
|
version: '1.0'
|
|
author: mahipal
|
|
license: Apache-2.0
|
|
nist_csf:
|
|
- DE.CM-01
|
|
- DE.AE-02
|
|
- DE.AE-07
|
|
- ID.RA-05
|
|
---
|
|
# Hunting for Anomalous PowerShell Execution
|
|
|
|
## Overview
|
|
|
|
PowerShell Script Block Logging (Event ID 4104) records the full deobfuscated script text
|
|
executed on a Windows endpoint, making it the primary data source for hunting malicious
|
|
PowerShell. Combined with Module Logging (4103) and process creation events, analysts can
|
|
detect encoded commands, AMSI bypass patterns, download cradles, credential theft tools,
|
|
and fileless attack techniques even when the attacker uses obfuscation layers.
|
|
|
|
|
|
## When to Use
|
|
|
|
- When investigating security incidents that require hunting for anomalous powershell execution
|
|
- 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
|
|
|
|
- Windows Event Log exports (.evtx) from Microsoft-Windows-PowerShell/Operational
|
|
- Python 3.8+ with python-evtx and lxml libraries
|
|
- Script Block Logging enabled via Group Policy
|
|
- Understanding of common PowerShell attack techniques
|
|
|
|
## Steps
|
|
|
|
1. Parse EVTX files extracting Event 4104 script block text and metadata
|
|
2. Reassemble multi-part script blocks using ScriptBlock ID correlation
|
|
3. Scan script text for AMSI bypass indicators and obfuscation patterns
|
|
4. Detect encoded command execution and base64 payloads
|
|
5. Identify download cradles, credential dumping, and lateral movement commands
|
|
6. Score and prioritize findings by threat severity
|
|
|
|
## Expected Output
|
|
|
|
```json
|
|
{
|
|
"total_events": 1247,
|
|
"suspicious_events": 23,
|
|
"amsi_bypass_attempts": 2,
|
|
"encoded_commands": 8,
|
|
"download_cradles": 5,
|
|
"credential_access": 3
|
|
}
|
|
```
|