implementing-siem-correlation-rules-for-apt
Helps your agent create SIEM correlation rules to detect attacker lateral movement across multiple events.
What it does
This tool helps create security rules to detect ongoing attacks on your computer. It analyzes multiple events that happen together to find suspicious activities that a single event wouldn't show.
When to use it
- ✓When you want to protect your network from intruders.
- ✓When configuring security systems to find complex attacks.
- ✓To improve the detection of threats moving between computers.
Example of what to ask your AI
“Create rules to detect when an attacker tries to move to another computer using stolen credentials.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool combines information from different security events, like logins and process creation. It looks for specific sequences of these events that indicate an attack.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-siem-correlation-rules-for-aptOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/implementing-siem-correlation-rules-for-apt/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Implementing SIEM Correlation Rules for APT
When to Use
- When deploying or configuring implementing siem correlation rules for apt capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
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
- Install dependencies:
pip install requests pyyaml sigma-cli - Connect to the Splunk REST API and define correlation searches that chain multiple event types across hosts.
- Build Sigma rules in YAML that express multi-step detection logic for lateral movement patterns:
- RDP logon (4624 LogonType=10) followed by service installation (7045) on same target within 15 minutes
- Pass-the-Hash: NTLM logon (4624 LogonType=3) followed by process creation (4688) of admin tools
- PsExec-style: Named pipe creation (Sysmon 17/18) correlated with remote service creation (7045)
- Convert Sigma rules to Splunk SPL using
sigma-cli convert. - Deploy correlation searches to Splunk ES via the REST API.
- Run the agent to generate and install correlation rules, then audit existing rules for coverage gaps.
python scripts/agent.py --splunk-url https://localhost:8089 --username admin --password changeme --output correlation_report.json
Examples
Detect RDP Lateral Movement Chain
index=wineventlog (EventCode=4624 Logon_Type=10) OR (EventCode=7045)
| transaction Computer maxspan=15m startswith=(EventCode=4624) endswith=(EventCode=7045)
| where eventcount >= 2
| table _time Computer Account_Name ServiceName
Sigma Rule for PsExec Lateral Movement
title: PsExec Lateral Movement Detection
logsource:
product: windows
service: sysmon
detection:
pipe_created:
EventID: 17
PipeName|startswith: '\PSEXESVC'
service_installed:
EventID: 7045
ServiceFileName|contains: 'PSEXESVC'
timeframe: 5m
condition: pipe_created | near service_installed
level: high
FAQ
What are 'correlation rules'?
These are instructions that tell the security system to look for a set of events that, when combined, indicate malicious activity.
What is 'APT'?
It stands for 'Advanced Persistent Threat,' a focused and ongoing type of attack, usually carried out by well-organized groups.
Why analyze multiple events?
Complex attacks often involve multiple steps. Analyzing isolated events may not be enough to detect them. Combining events provides a more complete picture.
Details
Original description by the author
Write multi-event correlation rules in Splunk SPL and Sigma format that detect APT lateral movement by chaining Windows authentication events (4624, 4648), process execution (4688, Sysmon Event 1), and network connections (Sysmon Event 3) across hosts within sliding time windows. Use when building SIEM correlation searches to surface multi-stage attack sequences that single-event detections miss,
Popularity
- GitHub stars
- 35k
- Ranking position
- #5957
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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