seikaikyo/detecting-suspicious-oauth-application-consent
external/anthropic-cybersecurity-skills/skills/detecting-suspicious-oauth-application-consent/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add seikaikyo/dash-skills detecting-suspicious-oauth-application-consentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Jun 6, 2026, 5:23 AM155.6s3 files scanned
SKILL.md
- name:
- detecting-suspicious-oauth-application-consent
- description:
- Detect risky OAuth application consent grants in Azure AD / Microsoft
- domain:
- cybersecurity
- subdomain:
- cloud-security
- version:
- 1.0
- author:
- mahipal
- license:
- Apache-2.0
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
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