detecting-lateral-movement-with-splunk

$npx mdskill add mukul975/Anthropic-Cybersecurity-Skills/detecting-lateral-movement-with-splunk

Hunt for adversary network traversal by querying Windows logs and traffic patterns in Splunk.

  • Investigate suspicious activity following credential theft or initial system compromise.
  • Requires Splunk Enterprise/Cloud with ingested Windows security, Sysmon, and network logs.
  • Executes complex Splunk Search Processing Language (SPL) queries against event data.
  • Delivers structured search results detailing potential unauthorized system access attempts.

SKILL.md

.github/skills/detecting-lateral-movement-with-splunkView on GitHub ↗
---
name: detecting-lateral-movement-with-splunk
description: Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.
domain: cybersecurity
subdomain: threat-hunting
tags: [threat-hunting, mitre-attack, lateral-movement, splunk, siem, proactive-detection, ta0008]
version: "1.0"
author: mahipal
license: Apache-2.0
---

# Detecting Lateral Movement with Splunk

## When to Use

- When hunting for adversary movement between compromised systems
- After detecting credential theft to trace subsequent lateral activity
- When investigating unusual authentication patterns across the network
- During incident response to scope the breadth of compromise
- When proactively hunting for TA0008 (Lateral Movement) techniques

## Prerequisites

- Splunk Enterprise or Splunk Cloud with Windows event data ingested
- Windows Security Event Logs forwarded (4624, 4625, 4648, 4672, 4768, 4769)
- Sysmon deployed for process creation and network connection data
- Network flow data or firewall logs for SMB/RDP/WinRM correlation
- Active Directory user and group membership reference data

## Workflow

1. **Define Lateral Movement Scope**: Identify which lateral movement techniques to hunt (RDP, SMB/Admin Shares, WinRM, PsExec, WMI, DCOM, SSH).
2. **Query Authentication Events**: Use SPL to search for Type 3 (Network) and Type 10 (RemoteInteractive) logons across the environment.
3. **Build Authentication Graphs**: Map source-to-destination authentication relationships to identify unusual connection patterns.
4. **Detect First-Time Relationships**: Identify new source-destination pairs that have not been seen in the historical baseline.
5. **Correlate with Process Activity**: Link authentication events to subsequent process creation on destination hosts.
6. **Identify Anomalous Patterns**: Flag lateral movement to sensitive servers, unusual hours, service account misuse, or rapid multi-host access.
7. **Report and Contain**: Document lateral movement path, affected systems, and coordinate containment response.

## Key Concepts

| Concept | Description |
|---------|-------------|
| T1021 | Remote Services (parent technique) |
| T1021.001 | Remote Desktop Protocol (RDP) |
| T1021.002 | SMB/Windows Admin Shares |
| T1021.003 | Distributed COM (DCOM) |
| T1021.004 | SSH |
| T1021.006 | Windows Remote Management (WinRM) |
| T1570 | Lateral Tool Transfer |
| T1047 | Windows Management Instrumentation |
| T1569.002 | Service Execution (PsExec) |
| Logon Type 3 | Network logon (SMB, WinRM, mapped drives) |
| Logon Type 10 | Remote Interactive (RDP) |
| Event ID 4624 | Successful logon |
| Event ID 4648 | Explicit credential logon (runas, PsExec) |

## Tools & Systems

| Tool | Purpose |
|------|---------|
| Splunk Enterprise | SIEM for log aggregation and SPL queries |
| Splunk Enterprise Security | Threat detection and notable events |
| Windows Event Forwarding | Centralize Windows logs |
| Sysmon | Detailed process and network telemetry |
| BloodHound | AD attack path analysis |
| PingCastle | AD security assessment |

## Common Scenarios

1. **PsExec Lateral Movement**: Adversary uses PsExec to execute commands on remote systems via SMB, generating Type 3 logon with ADMIN$ share access.
2. **RDP Pivoting**: Attacker RDPs to internal systems using stolen credentials, creating Type 10 logon events.
3. **WMI Remote Execution**: Adversary uses WMIC process call create to spawn processes on remote hosts.
4. **WinRM PowerShell Remoting**: Attacker uses Enter-PSSession or Invoke-Command to execute code on remote systems.
5. **Pass-the-Hash via SMB**: Compromised NTLM hashes used to authenticate to remote systems without knowing the plaintext password.

## Output Format

```
Hunt ID: TH-LATMOV-[DATE]-[SEQ]
Movement Type: [RDP/SMB/WinRM/WMI/DCOM/PsExec]
Source Host: [Hostname/IP]
Destination Host: [Hostname/IP]
Account Used: [Username]
Logon Type: [3/10/other]
First Seen: [Timestamp]
Event Count: [Number of events]
Risk Level: [Critical/High/Medium/Low]
Lateral Movement Path: [A -> B -> C -> D]
```

More from mukul975/Anthropic-Cybersecurity-Skills

SkillDescription
acquiring-disk-image-with-dd-and-dcflddCreate forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
analyzing-active-directory-acl-abuseDetect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
analyzing-android-malware-with-apktoolPerform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
analyzing-api-gateway-access-logs>
analyzing-apt-group-with-mitre-navigatorAnalyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
analyzing-azure-activity-logs-for-threats>
analyzing-bootkit-and-rootkit-samples>
analyzing-browser-forensics-with-hindsightAnalyze Chromium-based browser artifacts using Hindsight to extract browsing history, downloads, cookies, cached content, autofill data, saved passwords, and browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation.
analyzing-campaign-attribution-evidenceCampaign attribution analysis involves systematically evaluating evidence to determine which threat actor or group is responsible for a cyber operation. This skill covers collecting and weighting attr
analyzing-certificate-transparency-for-phishingMonitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization.