detecting-suspicious-oauth-application-consent skill (Anthropic-Cybersecurity-Skills)
- Install
- SKILL.md (verbatim)
- Overview
- When to Use
- Prerequisites
- Steps
- Expected Output
- Other files in this skill
- references/api-reference.md (verbatim)
- Libraries Used
- CLI Interface
- Core Functions
- getaccesstoken(tenantid, clientid, clientsecret) — MSAL client credentials auth
- graphget(token, endpoint, params) — Paginated Graph API GET
- enumerateoauthgrants(token) — List delegated permission grants
- listserviceprincipals(token) — Enumerate apps with verification status
- queryconsentauditlogs(token, days) — Consent event audit trail
- analyzerisk(grants, serviceprincipals) — Risk scoring engine
- fullaudit(token, days) — Comprehensive consent audit
- Microsoft Graph Endpoints
- High-Risk OAuth Scopes
- Risk Scoring
- Dependencies
What it does. Detect risky OAuth application consent grants in Azure AD / Microsoft Part of mukul975/Anthropic-Cybersecurity-Skills (817 security skills) (mukul975/Anthropic-Cybersecurity-Skills).
| Upstream | mukul975/Anthropic-Cybersecurity-Skills |
| Skill file | skills/detecting-suspicious-oauth-application-consent/SKILL.md |
| License | Apache-2.0 (skill folder LICENSE) |
| Author | mukul975 |
| Fetched | 2026-09-10 |
Install
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-suspicious-oauth-application-consent, or copy the skill folder into~/.claude/skills/detecting-suspicious-oauth-application-consent/.- Raw file:
curl -sL https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/HEAD/skills/detecting-suspicious-oauth-application-consent/SKILL.md
SKILL.md (verbatim)
name: detecting-suspicious-oauth-application-consent
description: 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.
domain: cybersecurity
subdomain: cloud-security
tags:
- OAuth
- Azure-AD
- Entra-ID
- Microsoft-Graph
- illicit-consent
- cloud-security
- application-permissions
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:
- T1528
- T1550.001
- T1098.001
- T1566.002
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
Other files in this skill
references/api-reference.md (verbatim)
API Reference — Detecting Suspicious OAuth Application Consent
Libraries Used
- msal: Microsoft Authentication Library — client credentials flow for Microsoft Graph
- requests: HTTP client for Graph API calls with pagination
CLI Interface
python agent.py --tenant-id TENANT --client-id CLIENT --client-secret SECRET grants
python agent.py --tenant-id TENANT --client-id CLIENT --client-secret SECRET apps
python agent.py --tenant-id TENANT --client-id CLIENT --client-secret SECRET audit-logs
python agent.py --tenant-id TENANT --client-id CLIENT --client-secret SECRET full --days 30
Core Functions
get_access_token(tenant_id, client_id, client_secret) — MSAL client credentials auth
Uses ConfidentialClientApplication.acquire_token_for_client() with scope
https://graph.microsoft.com/.default to obtain a bearer token.
graph_get(token, endpoint, params) — Paginated Graph API GET
Handles @odata.nextLink pagination. Returns aggregated value array.
enumerate_oauth_grants(token) — List delegated permission grants
Calls GET /oauth2PermissionGrants. Parses scope strings, flags high-risk scopes.
list_service_principals(token) — Enumerate apps with verification status
Calls GET /servicePrincipals?$top=999. Checks verifiedPublisher field.
query_consent_audit_logs(token, days) — Consent event audit trail
Calls GET /auditLogs/directoryAudits filtered by activityDisplayName eq 'Consent to application'.
Returns user principal, IP, target app, and result.
analyze_risk(grants, service_principals) — Risk scoring engine
Scoring: +15 per high-risk scope, +25 for unverified publisher, +20 for AllPrincipals consent. Levels: CRITICAL >= 70, HIGH >= 50, MEDIUM >= 25, LOW < 25.
full_audit(token, days) — Comprehensive consent audit
Microsoft Graph Endpoints
| Endpoint | Method | Required Permission |
|---|---|---|
/oauth2PermissionGrants |
GET | Directory.Read.All |
/servicePrincipals |
GET | Application.Read.All |
/auditLogs/directoryAudits |
GET | AuditLog.Read.All |
High-Risk OAuth Scopes
Mail.Read, Mail.ReadWrite, Mail.Send, Files.ReadWrite.All, Files.Read.All, User.ReadWrite.All, Directory.ReadWrite.All, Sites.ReadWrite.All, Contacts.ReadWrite, MailboxSettings.ReadWrite, People.Read.All, Calendars.ReadWrite, Notes.ReadWrite.All
Risk Scoring
| Factor | Points |
|---|---|
| Each high-risk scope | +15 |
| Unverified publisher | +25 |
| Admin consent (AllPrincipals) | +20 |
Dependencies
msal>= 1.24.0requests>= 2.28.0- Azure AD app registration with
Application.Read.All,AuditLog.Read.All,Directory.Read.All
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