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Agent skill

Detecting Lateral Movement With Splunk

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service (WMI/PsExec/RDP) abuse.

Apache-2.0Auto-check passedSecurity

Install Detecting Lateral Movement With Splunk

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-lateral-movement-with-splunk -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-lateral-movement-with-splunk --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/detecting-lateral-movement-with-splunk .claude/skills/detecting-lateral-movement-with-splunk && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
detecting-lateral-movement-with-splunk
GitHub stars
34k
Token cost
~1.2k tokens
SKILL.md length
420 words
Files
8 (incl. scripts, references, assets)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service (WMI/PsExec/RDP) abuse.

  • Works in 7 steps: Define Lateral Movement Scope: Identify… → Query Authentication Events: Use SPL to… → Build Authentication Graphs: Map… → …
  • Hunting for MITRE ATT&CK TA0008 lateral movement activity
  • SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Detecting Lateral Movement With Splunk is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. 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.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).

It sits in Security, covering Red teaming and adversary simulation. It works with Splunk. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Hunting for MITRE ATT&CK TA0008 lateral movement activity
  • Investigating suspected pivoting between hosts during an incident
  • With Splunk as the SIEM

Example prompts

  • “/detecting-lateral-movement-with-splunk”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Detecting Lateral Movement With Splunk loads about 1.2k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 420 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 420 words, ~1,151 tokens.

Download SKILL.mdSave it as .claude/skills/detecting-lateral-movement-with-splunk/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from 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 (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.
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
mitre_attack
T1046, T1057, T1082, T1083, T1021

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

ConceptDescription
T1021Remote Services (parent technique)
T1021.001Remote Desktop Protocol (RDP)
T1021.002SMB/Windows Admin Shares
T1021.003Distributed COM (DCOM)
T1021.004SSH
T1021.006Windows Remote Management (WinRM)
T1570Lateral Tool Transfer
T1047Windows Management Instrumentation
T1569.002Service Execution (PsExec)
Logon Type 3Network logon (SMB, WinRM, mapped drives)
Logon Type 10Remote Interactive (RDP)
Event ID 4624Successful logon
Event ID 4648Explicit credential logon (runas, PsExec)
Show full SKILL.md (134 more words)Show less

Tools & Systems

ToolPurpose
Splunk EnterpriseSIEM for log aggregation and SPL queries
Splunk Enterprise SecurityThreat detection and notable events
Windows Event ForwardingCentralize Windows logs
SysmonDetailed process and network telemetry
BloodHoundAD attack path analysis
PingCastleAD 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]

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/detecting-lateral-movement-with-splunk of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • assets/template.md
  • references/api-reference.md
  • references/standards.md
  • references/workflows.md
  • scripts/agent.py
  • scripts/process.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Detecting Lateral Movement With Splunk next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Detecting Lateral Movement With Splunk compared with similar skills
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Detecting Lateral Movement With Splunk this skillmukul975/Anthropic-Cybersecurity-Skills34k—~1.2kAutomated safety check: PassApache-2.0
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Osint Methodologyelementalsouls/Claude-OSINT2.8k—~8.7kAutomated safety check: NotesMIT
Lfd Designelvisun/loss-function-development176—~2.9kAutomated safety check: NotesMIT
Acl AbuseADScanPro/Claude-AD211—~2.6kAutomated safety check: PassMIT

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Works with

Categories

Questions about Detecting Lateral Movement With Splunk

What does Detecting Lateral Movement With Splunk do?

Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service (WMI/PsExec/RDP) abuse. Detecting Lateral Movement With Splunk is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service (WMI/PsExec/RDP) abuse.

When should I use Detecting Lateral Movement With Splunk?

Detecting Lateral Movement With Splunk fits situations like: hunting for MITRE ATT&CK TA0008 lateral movement activity; investigating suspected pivoting between hosts during an incident; with Splunk as the SIEM.

How do I install Detecting Lateral Movement With Splunk in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-lateral-movement-with-splunk -a claude-code`. Or copy the skill folder (skills/detecting-lateral-movement-with-splunk in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/detecting-lateral-movement-with-splunk in your project. Claude Code loads it when a task matches its description.

How do I install Detecting Lateral Movement With Splunk in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-lateral-movement-with-splunk -a codex`. Or copy the skill folder (skills/detecting-lateral-movement-with-splunk in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/detecting-lateral-movement-with-splunk in your project. Codex loads it when a task matches its description.

Can I use Detecting Lateral Movement With Splunk in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-lateral-movement-with-splunk -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-lateral-movement-with-splunk, .gemini/skills/detecting-lateral-movement-with-splunk, .github/skills/detecting-lateral-movement-with-splunk and .opencode/skills/detecting-lateral-movement-with-splunk in your project.

What does Detecting Lateral Movement With Splunk need to run?

Going by SKILL.md and its folder, Detecting Lateral Movement With Splunk needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Detecting Lateral Movement With Splunk access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Detecting Lateral Movement With Splunk safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Detecting Lateral Movement With Splunk use?

Detecting Lateral Movement With Splunk is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Detecting Lateral Movement With Splunk use?

About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Detecting Lateral Movement With Splunk?

Skills that share tags, products or a category with Detecting Lateral Movement With Splunk: Authorization Bypass Detection (Tencent/AI-Infra-Guard, 6.8k stars), Run Assert Eval (responsibleai/ASSERT, 330 stars), Osint Methodology (elementalsouls/Claude-OSINT, 2.8k stars) and Lfd Design (elvisun/loss-function-development, 176 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Detecting Lateral Movement With Splunk?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.