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Security35k · #5957

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

https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/implementing-siem-correlation-rules-for-apt/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/implementing-siem-correlation-rules-for-apt/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
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-apt

Or 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.md
Technical 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

  1. Install dependencies: pip install requests pyyaml sigma-cli
  2. Connect to the Splunk REST API and define correlation searches that chain multiple event types across hosts.
  3. 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)
  4. Convert Sigma rules to Splunk SPL using sigma-cli convert.
  5. Deploy correlation searches to Splunk ES via the REST API.
  6. 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,

repo: mukul975/Anthropic-Cybersecurity-Skills

Popularity

GitHub stars
35k
Ranking position
#5957
License
Apache-2.0
Updated
8/31/2026

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