external/anthropic-cybersecurity-skills/skills/detecting-lateral-movement-with-splunk/SKILL.md
Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service (WMI/PsExec/RDP) abuse. Use when hunting for MITRE ATT&CK TA0008 lateral movement activity or investigating suspected pivoting between hosts during an incident, with Splunk as the SIEM.
npx skillsauth add seikaikyo/dash-skills detecting-lateral-movement-with-splunkInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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| 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) |
| 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 |
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]
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.