{
 "public_id": "AIR-2024-0016",
 "incident_id": "2024-04-google-notebooklm-exfil",
 "date_disclosed": "2024-04-15",
 "date_occurred": null,
 "title": "Bobby Tables but with LLM apps: Google NotebookLM data exfiltration across documents",
 "class": "responsible_disclosure",
 "attack_surface": "enterprise_assistant",
 "initial_vector": "indirect_prompt_injection_document",
 "agent_capability_abused": [
  "retrieval",
  "markdown_image_rendering"
 ],
 "target_product": "Google NotebookLM",
 "target_vendor": "Google",
 "autonomy_level": "assistant",
 "impact_realized": false,
 "impact_type": [
  "data_exfiltration",
  "cross_document_data_access"
 ],
 "blast_radius": "NotebookLM users with multiple source documents",
 "cve": [],
 "taxonomy": {
  "owasp_asi": [
   "ASI01",
   "ASI06",
   "ASI02"
  ],
  "mitre_atlas": [],
  "labels": [
   "image_markdown_exfiltration",
   "cross_document",
   "rag_poisoning"
  ]
 },
 "defense_present": "none",
 "defense_bypassed": true,
 "fix_shipped": "Google Labs deployed a fix by 2024-04-19, four days after public disclosure; originally reported 2023-12-04",
 "primary_sources": [
  "https://embracethered.com/blog/posts/2024/google-notebook-ml-data-exfiltration/"
 ],
 "verified_quote": "However, it is vulnerable to Prompt Injection, meaning that uploaded files can manipulate the chat conversation and control what the user sees in responses.",
 "confidence": "high",
 "notes": "Johann Rehberger. Injected data in one document could read and exfiltrate a second document.",
 "risk_category": "privacy",
 "risk_secondary": [],
 "risk_subcategory": "Data Exfiltration via Context",
 "risk_sub_secondary": [],
 "ai_entity": "generative",
 "agency": "agent_acted",
 "agency_debatable": false,
 "agency_reason": "NotebookLM read a second document and exfiltrated it",
 "vector_family": "indirect_prompt_injection",
 "vector_detail": "indirect_prompt_injection_document",
 "guardrail_kind": [
  "none"
 ],
 "guardrail_outcome": "not_applicable",
 "xrefs": {
  "aiid": [],
  "atlas": [],
  "cve": [],
  "ghsa": []
 },
 "primary_asi": "ASI01",
 "agent_framework": "unknown",
 "model_provider": "google",
 "model_name": "",
 "detection_mechanism": "external_researcher",
 "tool_access": "unknown",
 "financial_loss_band": "unknown",
 "eai_category": "data_exfiltration_channels",
 "eai_domain": "privacy",
 "eai_secondary": [
  "data_and_memory_poisoning",
  "confused_deputy"
 ],
 "eai_reason": "subcategory: Data Exfiltration via Context",
 "asi_curated": [
  "ASI01"
 ],
 "asi_scope": "in_scope",
 "asi_provenance": "curated_plus_rule",
 "asi_reason": "curated: ASI01 | added ASI06 (signal=memory), ASI02 (impact=tool_misuse)",
 "submitted_by": "EAI Internal"
}