{
 "public_id": "AIR-2023-0021",
 "incident_id": "2023-09-llmsmith-framework-rce",
 "date_disclosed": "2023-09-06",
 "date_occurred": null,
 "title": "LLMSmith: 20 RCE vulnerabilities across 11 LLM agent frameworks, exploited via prompt injection",
 "class": "research_demo",
 "attack_surface": "agent_framework",
 "initial_vector": "direct_prompt_injection_user_input",
 "agent_capability_abused": [
  "code_execution_utilities",
  "tool_chaining"
 ],
 "target_product": "LangChain, LlamaIndex, Pandas-ai, Langflow, Auto-GPT, Griptape, Lagent, MetaGPT, vanna, langroid, Pandas-llm",
 "target_vendor": "multiple open-source projects",
 "autonomy_level": "semi_autonomous",
 "impact_realized": false,
 "impact_type": [
  "code_execution",
  "arbitrary_file_read_write"
 ],
 "blast_radius": "51 internet-exposed apps identified; 17 successfully exploited",
 "cve": [],
 "taxonomy": {
  "owasp_asi": [
   "ASI01",
   "ASI05"
  ],
  "mitre_atlas": [
   "AML.CS0052"
  ],
  "labels": [
   "framework_rce",
   "prompt_to_shell",
   "systematic_study"
  ]
 },
 "defense_present": null,
 "defense_bypassed": null,
 "fix_shipped": "17 of 20 confirmed by maintainers; 11 CVEs assigned",
 "primary_sources": [
  "https://arxiv.org/abs/2309.02926",
  "https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/v6/ATLAS-2026.07.yaml"
 ],
 "verified_quote": "Our research has uncovered a total of 20 vulnerabilities in 11 LLM-integrated frameworks, comprising 19 RCE vulnerabilities and 1 arbitrary file read/write vulnerability.",
 "confidence": "high",
 "notes": "Tong Liu et al. ATLAS dates this to the v4 revision (2025-02-27); original submission 2023-09-06, which is used as date_disclosed.",
 "is_umbrella": true,
 "umbrella_constituents": [],
 "umbrella_reason": "One coordinated study covering 20 vulnerabilities; no constituent vulnerability is separately cataloged.",
 "risk_category": "security_fraud",
 "risk_secondary": [],
 "risk_subcategory": "Prompt Injection",
 "risk_sub_secondary": [
  "Remote Code Execution & Sandbox Escape"
 ],
 "ai_entity": "generative",
 "agency": "agent_acted",
 "agency_debatable": false,
 "agency_reason": "injected prompts drove code execution inside the frameworks",
 "vector_family": "direct_prompt_injection",
 "vector_detail": "direct_prompt_injection_user_input",
 "guardrail_kind": [
  "unknown"
 ],
 "guardrail_outcome": "silent",
 "xrefs": {
  "aiid": [],
  "atlas": [
   "AML.CS0052"
  ],
  "cve": [],
  "ghsa": []
 },
 "primary_asi": "ASI01",
 "agent_framework": "unknown",
 "model_provider": "meta",
 "model_name": "",
 "detection_mechanism": "academic_study",
 "tool_access": "unknown",
 "financial_loss_band": "unknown",
 "eai_category": "privilege_escalation",
 "eai_domain": "access_control_and_permissions",
 "eai_secondary": [],
 "eai_reason": "impact rule: privilege_escalation",
 "asi_curated": [],
 "asi_scope": "in_scope",
 "asi_provenance": "rule",
 "asi_reason": "ASI01 (vector_family=direct_prompt_injection); ASI05 (impact=code_exec)",
 "submitted_by": "EAI Internal"
}