{
 "public_id": "AIR-2024-0030",
 "incident_id": "2024-08-microsoft-copilot-lolcopilot",
 "date_disclosed": "2024-08-08",
 "date_occurred": null,
 "title": "LOLCopilot: turning Microsoft 365 Copilot into an automated spear-phishing machine",
 "class": "research_demo",
 "attack_surface": "enterprise_assistant",
 "initial_vector": "compromised_user_account",
 "agent_capability_abused": [
  "email_send",
  "retrieval",
  "style_imitation"
 ],
 "target_product": "Microsoft 365 Copilot",
 "target_vendor": "Microsoft",
 "autonomy_level": "assistant",
 "impact_realized": false,
 "impact_type": [
  "phishing_at_scale",
  "data_exfiltration"
 ],
 "blast_radius": "every contact of a compromised Copilot-enabled mailbox",
 "cve": [],
 "taxonomy": {
  "owasp_asi": [
   "ASI01",
   "ASI02"
  ],
  "mitre_atlas": [],
  "labels": [
   "post_compromise_agent_abuse",
   "spear_phishing",
   "living_off_ai"
  ]
 },
 "defense_present": "Microsoft 365 security protections",
 "defense_bypassed": true,
 "fix_shipped": null,
 "primary_sources": [
  "https://www.wired.com/story/microsoft-copilot-phishing-data-extraction/"
 ],
 "verified_quote": "Dubbed LOLCopilot, the red-teaming code Bargury created can—crucially, once a hacker has access to someone’s work email—use Copilot to see who you email regularly, draft a message mimicking your writing style (including emoji use), and send a personalized blast that can include a malicious link or attached malware.",
 "confidence": "high",
 "notes": "Surfaced via the AIAAIC repository entry 'Microsoft Copilot can be turned into automated phishing machine'. Michael Bargury / Zenity, Black Hat USA 2024.",
 "risk_category": "security_fraud",
 "risk_secondary": [
  "privacy",
  "product_misuse"
 ],
 "risk_subcategory": "Unclassified",
 "risk_sub_secondary": [],
 "ai_entity": "generative",
 "agency": "agent_acted",
 "agency_debatable": false,
 "agency_reason": "Copilot composed and sent the spear-phishing emails",
 "vector_family": "other",
 "vector_detail": "compromised_user_account",
 "guardrail_kind": [
  "unknown"
 ],
 "guardrail_outcome": "silent",
 "xrefs": {
  "aiid": [],
  "atlas": [],
  "cve": [],
  "ghsa": []
 },
 "primary_asi": "ASI01",
 "agent_framework": "m365_copilot",
 "model_provider": "microsoft",
 "model_name": "",
 "detection_mechanism": "external_researcher",
 "tool_access": "unknown",
 "financial_loss_band": "unknown",
 "eai_category": "data_exfiltration_channels",
 "eai_domain": "privacy",
 "eai_secondary": [
  "human_manipulation"
 ],
 "eai_reason": "impact rule: data_exfiltration_channels",
 "asi_curated": [
  "ASI01"
 ],
 "asi_scope": "in_scope",
 "asi_provenance": "curated_plus_rule",
 "asi_reason": "curated: ASI01 | added ASI02 (impact=tool_misuse)",
 "submitted_by": "EAI Internal"
}