{
 "public_id": "AIR-2026-0194",
 "incident_id": "2026-07-taiwan-multi-agent-government-intrusion",
 "date_disclosed": "2026-08-12",
 "date_occurred": "2026-07-01",
 "title": "Multi-agent framework on Hermes and OpenClaw used in a near-autonomous intrusion into Taiwanese government systems",
 "class": "in_the_wild",
 "attack_surface": "multi_agent_system",
 "initial_vector": "misuse_of_open_source_agents_by_threat_actor",
 "agent_capability_abused": [
  "autonomous_recon",
  "credential_compromise",
  "persistence",
  "data_exfiltration",
  "agent_orchestration"
 ],
 "target_product": "Hermes and OpenClaw (abused as attacker infrastructure)",
 "target_vendor": "OpenClaw project; open-weight model providers",
 "autonomy_level": "fully_autonomous",
 "impact_realized": true,
 "impact_type": [
  "espionage",
  "data_exfiltration"
 ],
 "blast_radius": "85 credentials compromised; more than 2,564 personnel records exfiltrated from Taiwanese government systems",
 "cve": [],
 "taxonomy": {
  "owasp_asi": [
   "ASI02"
  ],
  "mitre_atlas": [],
  "labels": [
   "multi_agent_attack",
   "open_weight_models",
   "state_linked",
   "first_government_target"
  ]
 },
 "defense_present": "government network defences",
 "defense_bypassed": true,
 "fix_shipped": null,
 "primary_sources": [
  "https://cyberscoop.com/near-autonomous-ai-attack-government-target-taiwan/",
  "https://incidentdatabase.ai/cite/1646"
 ],
 "verified_quote": "Suspected Chinese hackers used open-source artificial intelligence models to run a cyberattack against the Taiwanese government in the first publicly known case of an autonomous AI hack hitting a government target, according to research published Wednesday.",
 "confidence": "high",
 "notes": "AI Incident Database incident 1646. Significant because open-weight models and open-source agent frameworks remove the vendor-side kill switch that Anthropic used against GTG-1002. Taiwan confirmed an overseas AI-assisted campaign without attributing it to China.",
 "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": "the agent framework ran the near-autonomous intrusion",
 "vector_family": "conventional_vulnerability",
 "vector_detail": "misuse_of_open_source_agents_by_threat_actor",
 "guardrail_kind": [
  "unknown"
 ],
 "guardrail_outcome": "silent",
 "xrefs": {
  "aiid": [
   1646
  ],
  "atlas": [],
  "cve": [],
  "ghsa": []
 },
 "primary_asi": "ASI02",
 "agent_framework": "openclaw",
 "model_provider": "unknown",
 "model_name": "",
 "detection_mechanism": "unknown",
 "tool_access": "unknown",
 "financial_loss_band": "unknown",
 "eai_category": "data_exfiltration_channels",
 "eai_domain": "privacy",
 "eai_secondary": [],
 "eai_reason": "subcategory: Data Exfiltration via Context",
 "asi_curated": [],
 "asi_scope": "in_scope",
 "asi_provenance": "rule",
 "asi_reason": "ASI02 (impact=tool_misuse)",
 "submitted_by": "EAI Internal"
}