detecting-lateral-movement-with-splunk▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.
| 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 |
| d3fend_techniques | - Application Protocol Command Analysis - Network Isolation - Network Traffic Analysis - Client-server Payload Profiling - Network Traffic Community Deviation |
| nist_csf | - DE.CM-01 - DE.AE-02 - DE.AE-07 - ID.RA-05 |
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
- Define Lateral Movement Scope: Identify which lateral movement techniques to hunt (RDP, SMB/Admin Shares, WinRM, PsExec, WMI, DCOM, SSH).
- Query Authentication Events: Use SPL to search for Type 3 (Network) and Type 10 (RemoteInteractive) logons across the environment.
- Build Authentication Graphs: Map source-to-destination authentication relationships to identify unusual connection patterns.
- Detect First-Time Relationships: Identify new source-destination pairs that have not been seen in the historical baseline.
- Correlate with Process Activity: Link authentication events to subsequent process creation on destination hosts.
- Identify Anomalous Patterns: Flag lateral movement to sensitive servers, unusual hours, service account misuse, or rapid multi-host access.
- 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
- PsExec Lateral Movement: Adversary uses PsExec to execute commands on remote systems via SMB, generating Type 3 logon with ADMIN$ share access.
- RDP Pivoting: Attacker RDPs to internal systems using stolen credentials, creating Type 10 logon events.
- WMI Remote Execution: Adversary uses WMIC process call create to spawn processes on remote hosts.
- WinRM PowerShell Remoting: Attacker uses Enter-PSSession or Invoke-Command to execute code on remote systems.
- 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]
How to use detecting-lateral-movement-with-splunk on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add detecting-lateral-movement-with-splunk
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches detecting-lateral-movement-with-splunk from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate detecting-lateral-movement-with-splunk. Access the skill through slash commands (e.g., /detecting-lateral-movement-with-splunk) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★69 reviews- ★★★★★Mia Flores· Dec 16, 2024
Useful defaults in detecting-lateral-movement-with-splunk — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dhruvi Jain· Dec 12, 2024
Useful defaults in detecting-lateral-movement-with-splunk — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★William Ramirez· Dec 12, 2024
Keeps context tight: detecting-lateral-movement-with-splunk is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Hana Singh· Dec 12, 2024
detecting-lateral-movement-with-splunk is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Hiroshi White· Dec 4, 2024
detecting-lateral-movement-with-splunk is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Diego Chawla· Dec 4, 2024
detecting-lateral-movement-with-splunk reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Aarav Bansal· Nov 27, 2024
We added detecting-lateral-movement-with-splunk from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Anaya Abebe· Nov 27, 2024
detecting-lateral-movement-with-splunk fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Anaya Lopez· Nov 23, 2024
detecting-lateral-movement-with-splunk reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Meera Okafor· Nov 23, 2024
detecting-lateral-movement-with-splunk is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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