detecting-suspicious-oauth-application-consent
Has your agent detect risky OAuth application consent grants in Azure AD.
What it does
This tool helps find malicious apps asking for too many permissions in your system, like Azure AD. It checks what permissions apps have and if they are trustworthy.
When to use it
- ✓If you suspect an app might have improper access.
- ✓When investigating security issues.
- ✓To check if your monitoring systems are working.
Example of what to ask your AI
“Check for apps with suspicious permissions in my system.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool connects to your system (Azure AD), looks at apps that requested permissions, analyzes the permissions they have, and checks for suspicious activity in audit logs.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-suspicious-oauth-application-consentOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/detecting-suspicious-oauth-application-consent/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Detecting Suspicious OAuth Application Consent
Overview
Illicit consent grant attacks trick users into granting excessive permissions to malicious OAuth applications in Azure AD / Microsoft Entra ID. This skill uses the Microsoft Graph API to enumerate OAuth2 permission grants, analyze application permissions for overly broad scopes, review directory audit logs for consent events, and flag high-risk applications based on publisher verification status and permission scope.
When to Use
- When investigating security incidents that require detecting suspicious oauth application consent
- 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 AD / Entra ID tenant with Global Reader or Security Reader role
- Microsoft Graph API access with
Application.Read.All,AuditLog.Read.All,Directory.Read.All - Python 3.9+ with
msal,requests - App registration with client secret or certificate for authentication
Steps
- Authenticate to Microsoft Graph using MSAL client credentials flow
- Enumerate all OAuth2 permission grants via
/oauth2PermissionGrants - List service principals and their assigned application permissions
- Query directory audit logs for
Consent to applicationevents - Flag applications with high-risk scopes (Mail.Read, Files.ReadWrite.All, etc.)
- Check publisher verification status for each application
- Generate risk report with remediation recommendations
Expected Output
- JSON report listing all OAuth apps with granted permissions, risk scores, unverified publishers, and suspicious consent patterns
- Audit trail of consent grant events with user and IP details
FAQ
What are 'illicit consent grant attacks'?
These are attacks where an app tricks a user into granting excessive permissions, potentially accessing sensitive data.
What kind of permissions are considered risky?
Permissions that give access to emails, files, or other sensitive information, like 'Mail.Read' or 'Files.ReadWrite.All'.
Do I need to be an expert to use this?
No, but you need administrative access to Azure AD/Entra ID and need to follow some technical steps to set up the tool.
Details
Original description by the author
Detect risky OAuth application consent grants in Azure AD / Microsoft Entra ID using Microsoft Graph API, audit logs, and permission analysis to identify illicit consent grant attacks.
Popularity
- GitHub stars
- 35k
- Ranking position
- #5716
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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