Skills

Analyzing Windows Event Logs In Splunk

Analyzes Windows Security, System, and Sysmon event logs in Splunk to detect...

Install

npx skills add AgentFlocks/flocks --skill analyzing-windows-event-logs-in-splunk -g -a claude-code -y
Repository
AgentFlocks/flocks504
Category
Security
Updated
5d ago
License
Apache-2.0
Context cost
Mediumabout 2,579 tokens
Runs scripts
Yes, review before use

What it does

Analyzes Windows Security, System, and Sysmon event logs in Splunk to detect authentication attacks, privilege escalation, persistence mechanisms, and lateral movement using SPL queries mapped to MITRE ATT&CK techniques. Use when SOC analysts need to investigate Windows-based threats, build detection queries, or perform forensic timeline analysis of Windows endpoints and domain controllers.

Analyzing Windows Event Logs in Splunk

When to Use

Use this skill when:

  • SOC analysts investigate alerts related to Windows authentication, process execution, or AD changes
  • Detection engineers build SPL queries for Windows-based threat detection
  • Incident responders need forensic timelines of Windows endpoint or domain controller activity
  • Periodic threat hunting targets Windows-specific ATT&CK techniques

Do not use for Linux/macOS endpoint analysis or network-only investigations.

Prerequisites

  • Splunk with Windows Event Log data ingested (sourcetype WinEventLog:Security, WinEventLog:System, XmlWinEventLog:Microsoft-Windows-Sysmon/Operational)
  • Sysmon deployed on endpoints with SwiftOnSecurity or Olaf Hartong configuration
  • CIM data model acceleration for Endpoint and Authentication data models
  • Knowledge of Windows Security Event IDs and Sysmon event types

Workflow

Step 1: Authentication Attack Detection

Brute Force Detection (EventCode 4625, Failed Logon):

index=wineventlog sourcetype="WinEventLog:Security" EventCode=4625
| stats count, dc(TargetUserName) AS unique_users, values(TargetUserName) AS targeted_users
  by src_ip, Logon_Type, Status
| where count > 20
| eval attack_type = case(
    Logon_Type=3, "Network Brute Force",
    Logon_Type=10, "RDP Brute Force",
    Logon_Type=2, "Interactive Brute Force",
    1=1, "Other"
  )
| eval status_meaning = case(
    Status="0xc000006d", "Bad Username or Password",
    Status="0xc000006a", "Incorrect Password (valid user)",
    Status="0xc0000234", "Account Locked Out",
    Status="0xc0000072", "Account Disabled",
    1=1, Status
  )
| sort - count
| table src_ip, attack_type, status_meaning, count, unique_users, targeted_users
Read the whole SKILL.md on GitHub

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