Agent skill

Detecting Azure Lateral Movement

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation…

Apache-2.0Auto-check passedSecurity

Install Detecting Azure Lateral Movement

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

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-azure-lateral-movement --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-azure-lateral-movement .claude/skills/detecting-azure-lateral-movement && 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-azure-lateral-movement
GitHub stars
34k
Token cost
~808 tokens
SKILL.md length
315 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation…

  • Works in 4 steps: Configure Log Ingestion → Build Detection Queries → Correlate Events → …
  • Tasks that involve Red teaming and adversary simulation
  • SKILL.md covers Overview, When to Use, Prerequisites and Steps, plus 1 more section
  • Runs Python scripts from its folder

What it does

Detecting Azure Lateral Movement is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation, token theft, and cross-tenant pivoting.

Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Security, covering Red teaming and adversary simulation. It works with Microsoft Entra ID, Microsoft Sentinel, Microsoft Azure and Microsoft 365. 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

  • Tasks that involve Red teaming and adversary simulation

Example prompts

  • “/detecting-azure-lateral-movement”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Configure Log Ingestion
  2. Build Detection Queries
  3. Correlate Events
  4. Automate 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 1 file 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 Azure Lateral Movement loads about 808 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 315 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~808
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.5k

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). 315 words, ~808 tokens.

Download SKILL.mdSave it as .claude/skills/detecting-azure-lateral-movement/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
detecting-azure-lateral-movement
description
Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation, token theft, and cross-tenant pivoting.
domain
cybersecurity
subdomain
cloud-security
tags
azure, entra-id, lateral-movement, sentinel, kql, graph-api, cloud-security, threat-hunting
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
PR.IR-01, ID.AM-08, GV.SC-06, DE.CM-01
mitre_attack
T1078.004, T1550.001, T1021.007, T1098.003, T1528

Detecting Azure Lateral Movement

Overview

Lateral movement in Azure AD/Entra ID differs from on-premises environments. Attackers pivot through OAuth application consent grants, service principal abuse, cross-tenant access policies, and stolen refresh tokens rather than SMB/RDP connections. Detection requires correlating Microsoft Graph API audit logs, Azure AD sign-in logs, and Entra ID protection risk events using KQL queries in Microsoft Sentinel. This skill covers building detection analytics for common Azure lateral movement techniques including application impersonation, mailbox delegation abuse, and conditional access policy bypasses.

When to Use

  • When investigating security incidents that require detecting azure lateral movement
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Azure subscription with Microsoft Sentinel workspace configured
  • Azure AD P2 or Entra ID P2 license for risk-based sign-in detection
  • Microsoft Graph API permissions: AuditLog.Read.All, Directory.Read.All, SecurityEvents.Read.All
  • Log Analytics workspace ingesting AuditLogs, SigninLogs, and AADServicePrincipalSignInLogs
  • Familiarity with KQL (Kusto Query Language)

Steps

Step 1: Configure Log Ingestion

Enable diagnostic settings to stream Azure AD logs to Log Analytics:

  • Sign-in logs (interactive and non-interactive)
  • Audit logs (directory changes, app consent)
  • Service principal sign-in logs
  • Provisioning logs
  • Risky users and risk detections
Step 2: Build Detection Queries

Create KQL analytics rules in Sentinel for:

  • Unusual service principal credential additions
  • OAuth application consent grants to unknown apps
  • Cross-tenant sign-ins from new tenants
  • Token replay from different IP/user-agent combinations
  • Mailbox delegation changes (FullAccess, SendAs)
Step 3: Correlate Events

Chain multiple low-confidence indicators into high-confidence lateral movement detections by correlating sign-in anomalies with directory changes within time windows.

Step 4: Automate Response

Create Sentinel playbooks (Logic Apps) to automatically revoke suspicious OAuth grants, disable compromised service principals, and enforce step-up authentication.

Expected Output

JSON report containing detected lateral movement indicators, correlated event chains, affected identities, and recommended containment actions with MITRE ATT&CK technique mappings.

© 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 3 other files (scripts, references) in skills/detecting-azure-lateral-movement of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Detecting Azure Lateral Movement 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 Azure Lateral Movement compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Detecting Azure Lateral Movement this skillmukul975/Anthropic-Cybersecurity-Skills34k—~808Automated safety check: PassApache-2.0
App Registration PostureSCStelz/security-investigator249—~21kAutomated safety check: PassMIT
Sentinelvinayaklatthe/microsoft-security-skills175—~2.2kAutomated safety check: PassMIT
Azure Kusto Irqlmicrosoft/GitHub-Copilot-for-Azure255—~2.6kAutomated safety check: PassMIT
Defender Xdrvinayaklatthe/microsoft-security-skills175—~2.1kAutomated safety check: PassMIT
Entra Agent Idmicrosoft/GitHub-Copilot-for-Azure2552 repos~4kAutomated safety check: PassMIT

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Categories

Questions about Detecting Azure Lateral Movement

What does Detecting Azure Lateral Movement do?

Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation…. Detecting Azure Lateral Movement is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation, token theft, and cross-tenant pivoting.

When should I use Detecting Azure Lateral Movement?

Detecting Azure Lateral Movement fits situations like: tasks that involve Red teaming and adversary simulation.

How do I install Detecting Azure Lateral Movement in Claude Code?

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

How do I install Detecting Azure Lateral Movement in Codex?

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

Can I use Detecting Azure Lateral Movement 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-azure-lateral-movement -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-azure-lateral-movement, .gemini/skills/detecting-azure-lateral-movement, .github/skills/detecting-azure-lateral-movement and .opencode/skills/detecting-azure-lateral-movement in your project.

What does Detecting Azure Lateral Movement need to run?

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

Does Detecting Azure Lateral Movement 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 Azure Lateral Movement 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 Azure Lateral Movement use?

Detecting Azure Lateral Movement 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 Azure Lateral Movement use?

About 808 tokens (SKILL.md is roughly 3.2k 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 724 tokens, read only when the agent opens those files.

What are the alternatives to Detecting Azure Lateral Movement?

Skills that share tags, products or a category with Detecting Azure Lateral Movement: App Registration Posture (SCStelz/security-investigator, 249 stars), Sentinel (vinayaklatthe/microsoft-security-skills, 175 stars), Azure Kusto Irql (microsoft/GitHub-Copilot-for-Azure, 255 stars) and Defender Xdr (vinayaklatthe/microsoft-security-skills, 175 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Detecting Azure Lateral Movement?

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.