abusing-dpapi-for-cred…
Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using…
Parse Office 365 Unified Audit Logs via Microsoft Graph API to detect
$ npx -y skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-office365-audit-logs-for-compromise --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/analyzing-office365-audit-logs-for-compromiseContext preview
The summary Claude sees to decide when to auto-load this skill.
Parse Office 365 Unified Audit Logs via Microsoft Graph API to detect
name: analyzing-office365-audit-logs-for-compromise description: 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. domain: cybersecurity subdomain: cloud-security tags: - Office365 - Microsoft-Graph - audit-logs - email-compromise - inbox-rules - OAuth - BEC 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: - T1114.002 - T1098.002 - T1556.006 - T1078.004
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.
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
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
Repo: mukul975/Anthropic-Cybersecurity-Skills
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