detecting-suspicious-oauth-application-consent

v2026.09.24

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.

GitHub
安装命令
npx skhub add mukul975/detecting-suspicious-oauth-application-consent
Markdown
SKILL.md

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

  1. Authenticate to Microsoft Graph using MSAL client credentials flow
  2. Enumerate all OAuth2 permission grants via /oauth2PermissionGrants
  3. List service principals and their assigned application permissions
  4. Query directory audit logs for Consent to application events
  5. Flag applications with high-risk scopes (Mail.Read, Files.ReadWrite.All, etc.)
  6. Check publisher verification status for each application
  7. 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
发现
标签

此技能尚未发布标签。

版本
最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

Apache-2.0

源路径

skills/detecting-suspicious-oauth-application-consent

默认分支

main

最新提交

54a7988

Tree SHA

d110e8c