mirror of
https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
synced 2026-06-15 15:34:56 +03:00
fbc47b7ac2
Three SKILL.md files had tags that were simply words split from the skill name (e.g., "analyzing", "block", "with", "logs") rather than meaningful discovery keywords. Replace with domain-specific terms that agents and search tools can actually use for routing. - analyzing-powershell-script-block-logging: [powershell, script-block-logging, event-id-4104, obfuscation-detection, windows-forensics, endpoint-security] - analyzing-azure-activity-logs-for-threats: [azure, cloud-security, azure-monitor, kql, threat-hunting, activity-logs] - analyzing-memory-forensics-with-lime-and-volatility: [memory-forensics, linux-forensics, lime, volatility, incident-response, kernel-modules] Co-Authored-By: Claude Code <noreply@anthropic.com>
71 lines
2.5 KiB
Markdown
71 lines
2.5 KiB
Markdown
---
|
|
name: analyzing-powershell-script-block-logging
|
|
description: Parse Windows PowerShell Script Block Logs (Event ID 4104) from EVTX files to detect obfuscated commands, encoded
|
|
payloads, and living-off-the-land techniques. Uses python-evtx to extract and reconstruct multi-block scripts, applies entropy
|
|
analysis and pattern matching for Base64-encoded commands, Invoke-Expression abuse, download cradles, and AMSI bypass attempts.
|
|
domain: cybersecurity
|
|
subdomain: security-operations
|
|
tags:
|
|
- powershell
|
|
- script-block-logging
|
|
- event-id-4104
|
|
- obfuscation-detection
|
|
- windows-forensics
|
|
- endpoint-security
|
|
version: '1.0'
|
|
author: mahipal
|
|
license: Apache-2.0
|
|
nist_csf:
|
|
- DE.CM-01
|
|
- RS.MA-01
|
|
- GV.OV-01
|
|
- DE.AE-02
|
|
---
|
|
|
|
|
|
# Analyzing PowerShell Script Block Logging
|
|
|
|
|
|
## When to Use
|
|
|
|
- When investigating security incidents that require analyzing powershell script block logging
|
|
- 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
|
|
|
|
- Familiarity with security operations concepts and tools
|
|
- Access to a test or lab environment for safe execution
|
|
- Python 3.8+ with required dependencies installed
|
|
- Appropriate authorization for any testing activities
|
|
|
|
## Instructions
|
|
|
|
1. Install dependencies: `pip install python-evtx lxml`
|
|
2. Collect PowerShell Operational logs: `Microsoft-Windows-PowerShell%4Operational.evtx`
|
|
3. Parse Event ID 4104 entries using python-evtx to extract ScriptBlockText, ScriptBlockId, and MessageNumber/MessageTotal for multi-part script reconstruction.
|
|
4. Apply detection heuristics:
|
|
- Base64-encoded commands (`-EncodedCommand`, `FromBase64String`)
|
|
- Download cradles (`DownloadString`, `DownloadFile`, `Invoke-WebRequest`, `Net.WebClient`)
|
|
- AMSI bypass patterns (`AmsiUtils`, `amsiInitFailed`)
|
|
- Obfuscation indicators (high entropy, tick-mark insertion, string concatenation)
|
|
5. Generate a report with reconstructed scripts, risk scores, and MITRE ATT&CK mappings.
|
|
|
|
```bash
|
|
python scripts/agent.py --evtx-file /path/to/PowerShell-Operational.evtx --output ps_analysis.json
|
|
```
|
|
|
|
## Examples
|
|
|
|
### Detect Encoded Command Execution
|
|
```python
|
|
import base64
|
|
if "-encodedcommand" in script_text.lower():
|
|
encoded = script_text.split()[-1]
|
|
decoded = base64.b64decode(encoded).decode("utf-16-le")
|
|
```
|
|
|
|
### Reconstruct Multi-Block Script
|
|
Scripts split across multiple 4104 events share a `ScriptBlockId`. Concatenate blocks ordered by `MessageNumber` to recover the full script.
|