本文へ移動
cccskills
無料GitHub で公開

analyzing-office365-audit-logs-for-compromise

Parse Office 365 Unified Audit Logs via Microsoft Graph API to detect email forwarding rule creation, inbox delegation, suspicious OAuth app grants, and other indicators of account compromise.

インストール方法を見る

含まれるファイル(4)

  • SKILL.md2.2 KB
  • LICENSE11.0 KB
  • references/api-reference.md2.8 KB
  • scripts/agent.py9.8 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Analyzing Office 365 Audit Logs for Compromise

Overview

Business Email Compromise (BEC) attacks often leave traces in Office 365 audit logs: suspicious inbox rule creation, email forwarding to external addresses, mailbox delegation changes, and unauthorized OAuth application consent grants. This skill uses the Microsoft Graph API to query the Unified Audit Log, enumerate inbox rules across mailboxes, detect forwarding configurations, and identify compromised account indicators.

When to Use

  • When investigating security incidents that require analyzing office365 audit logs for compromise
  • 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 app registration with AuditLog.Read.All, MailboxSettings.Read, Mail.Read (application permissions)
  • Python 3.9+ with msal, requests
  • Client secret or certificate for authentication
  • Global Reader or Security Reader role

Steps

  1. Authenticate to Microsoft Graph using MSAL client credentials flow
  2. Query Unified Audit Log for suspicious operations (Set-Mailbox, New-InboxRule)
  3. Enumerate inbox rules across mailboxes and flag forwarding rules
  4. Detect mailbox delegation changes (Add-MailboxPermission)
  5. Identify OAuth consent grants to suspicious applications
  6. Check for suspicious sign-in patterns from audit logs
  7. Generate compromise indicator report with timeline

Expected Output

  • JSON report listing forwarding rules, delegation changes, OAuth grants, and suspicious audit events with risk scores
  • Timeline of compromise indicators with affected mailboxes

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

aniket2348823 のスキルをすべて見る

このスキルの問題を報告する