{ "skill_name": "open-notebook", "skill_path": "/home/runner/work/skill-scanner-test/skill-scanner-test/scripts/../skills/K-Dense-AI-scientific-agent-skills/skills/open-notebook", "is_safe": false, "max_severity": "CRITICAL", "findings_count": 7, "findings": [ { "id": "CROSSFILE_ENV_VAR_EXFILTRATION_a0edd874a3", "rule_id": "BEHAVIOR_CROSSFILE_ENV_VAR_EXFILTRATION", "category": "data_exfiltration", "severity": "CRITICAL", "title": "Cross-file env var exfiltration: 1 files", "description": "Environment variable access with network calls in scripts/_common.py", "file_path": null, "line_number": null, "snippet": null, "remediation": "Review data flow across files: scripts/_common.py", "analyzer": "behavioral", "metadata": { "aisubtech": "AISubtech-8.2.3", "files_involved": [ "scripts/_common.py" ], "threat_type": "env_var_exfiltration", "evidence": { "env_var_files": [ "scripts/_common.py" ], "network_files": [ "scripts/_common.py" ] }, "rule_contract": { "status": "invalid", "schema_version": 2, "errors": [ { "code": "UNKNOWN_BUNDLED_PYTHON_RULE", "rule_id": "BEHAVIOR_CROSSFILE_ENV_VAR_EXFILTRATION", "expected": "declared core schema-v2 Python rule", "actual": "missing" } ] }, "aitech": "AITech-8.2", "aitech_name": "Data Exfiltration / Exposure", "aisubtech_name": "Data Exfiltration via Agent Tooling", "aitech_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0024.000: Exfiltration via AI Inference API: Infer Training Data Membership", "MITRE ATLAS: AML.T0035: AI Artifact Collection", "MITRE ATLAS: AML.T0037: Data From Local System", "MITRE ATLAS: AML.T0057: LLM Data Leakage", "NIST AML: NISTAML.037: Training Data Attacks" ], "aisubtech_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI02: Tool Misuse & Exploitation", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation", "NIST AML: N/A" ], "framework_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI02: Tool Misuse & Exploitation", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation", "NIST AML: N/A" ], "taxonomy_status": "mapped", "taxonomy_source": "finding" } }, { "id": "CROSSFILE_EXFILTRATION_CHAIN_4c36c4af03", "rule_id": "BEHAVIOR_CROSSFILE_EXFILTRATION_CHAIN", "category": "data_exfiltration", "severity": "CRITICAL", "title": "Cross-file exfiltration chain: 1 files", "description": "Multi-file exfiltration chain detected: scripts/_common.py collect data \u2192 encode \u2192 scripts/_common.py transmit to network", "file_path": null, "line_number": null, "snippet": null, "remediation": "Review data flow across files: scripts/_common.py", "analyzer": "behavioral", "metadata": { "aisubtech": "AISubtech-8.2.3", "files_involved": [ "scripts/_common.py" ], "threat_type": "exfiltration_chain", "evidence": { "collection_files": [ "scripts/_common.py" ], "encoding_files": [], "network_files": [ "scripts/_common.py" ] }, "rule_contract": { "status": "invalid", "schema_version": 2, "errors": [ { "code": "UNKNOWN_BUNDLED_PYTHON_RULE", "rule_id": "BEHAVIOR_CROSSFILE_EXFILTRATION_CHAIN", "expected": "declared core schema-v2 Python rule", "actual": "missing" } ] }, "aitech": "AITech-8.2", "aitech_name": "Data Exfiltration / Exposure", "aisubtech_name": "Data Exfiltration via Agent Tooling", "aitech_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0024.000: Exfiltration via AI Inference API: Infer Training Data Membership", "MITRE ATLAS: AML.T0035: AI Artifact Collection", "MITRE ATLAS: AML.T0037: Data From Local System", "MITRE ATLAS: AML.T0057: LLM Data Leakage", "NIST AML: NISTAML.037: Training Data Attacks" ], "aisubtech_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI02: Tool Misuse & Exploitation", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation", "NIST AML: N/A" ], "framework_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI02: Tool Misuse & Exploitation", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation", "NIST AML: N/A" ], "taxonomy_status": "mapped", "taxonomy_source": "finding" } }, { "id": "ENV_VAR_EXFILTRATION_f0b8483f86", "rule_id": "BEHAVIOR_ENV_VAR_EXFILTRATION", "category": "data_exfiltration", "severity": "CRITICAL", "title": "Environment variable access with network calls detected", "description": "Script accesses environment variables and makes network calls in /home/runner/work/skill-scanner-test/skill-scanner-test/skills/K-Dense-AI-scientific-agent-skills/skills/open-notebook/scripts/_common.py", "file_path": "/home/runner/work/skill-scanner-test/skill-scanner-test/skills/K-Dense-AI-scientific-agent-skills/skills/open-notebook/scripts/_common.py", "line_number": null, "snippet": null, "remediation": "Remove environment variable harvesting or network transmission", "analyzer": "behavioral", "metadata": { "has_network": true, "has_env_access": true, "suspicious_urls": [], "aitech": "AITech-8.2", "aitech_name": "Data Exfiltration / Exposure", "aisubtech": "AISubtech-8.2.3", "aisubtech_name": "Data Exfiltration via Agent Tooling", "aitech_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0024.000: Exfiltration via AI Inference API: Infer Training Data Membership", "MITRE ATLAS: AML.T0035: AI Artifact Collection", "MITRE ATLAS: AML.T0037: Data From Local System", "MITRE ATLAS: AML.T0057: LLM Data Leakage", "NIST AML: NISTAML.037: Training Data Attacks" ], "aisubtech_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI02: Tool Misuse & Exploitation", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation", "NIST AML: N/A" ], "framework_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI02: Tool Misuse & Exploitation", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation", "NIST AML: N/A" ], "taxonomy_status": "mapped", "taxonomy_source": "rule" } }, { "id": "DESC_BEHAVIOR_MISMATCH_a1539d0718", "rule_id": "SOCIAL_ENG_MISLEADING_DESC", "category": "social_engineering", "severity": "MEDIUM", "title": "Potential description-behavior mismatch", "description": "Skill performs actions not reflected in its description", "file_path": "SKILL.md", "line_number": null, "snippet": null, "remediation": "Ensure description accurately reflects all skill capabilities", "analyzer": "static", "metadata": { "aitech": "AITech-4.3", "aitech_name": "Protocol Manipulation", "aisubtech": "AISubtech-4.3.5", "aisubtech_name": "Capability Inflation", "aitech_mappings": [ "OWASP: LLM03:2026: Excessive Agency", "OWASP: ASI07: Insecure Inter-Agent Communication", "MITRE ATLAS: AML.T0067: LLM Trusted Output Component Manipulation", "MITRE ATLAS: AML.T0018: Manipulate AI Model", "MITRE ATT&CK: T1203: Exploitation for Client Execution", "NIST AML: NISTAML.024: Targeted Poisoning" ], "aisubtech_mappings": [ "OWASP: LLM03:2026: Excessive Agency", "OWASP: ASI03: Identity & Privilege Abuse", "OWASP: ASI07: Insecure Inter-Agent Communication", "MITRE ATLAS: AML.T0053: LLM Plugin Compromise", "NIST AML: N/A" ], "framework_mappings": [ "OWASP: LLM03:2026: Excessive Agency", "OWASP: ASI03: Identity & Privilege Abuse", "OWASP: ASI07: Insecure Inter-Agent Communication", "MITRE ATLAS: AML.T0053: LLM Plugin Compromise", "NIST AML: N/A" ], "taxonomy_status": "mapped", "taxonomy_source": "rule" } }, { "id": "CORRELATED_SENSITIVE_NETWORK_FLOW_12ea1d207fad", "rule_id": "CORRELATED_SENSITIVE_NETWORK_FLOW", "category": "data_exfiltration", "severity": "HIGH", "title": "Sensitive source reaches a network sink", "description": "Correlated sensitive_environment \u2192 network behavior across scripts/_common.py.", "file_path": "scripts/_common.py", "line_number": 29, "snippet": null, "remediation": "Remove the transmission or constrain it to explicitly declared, trusted destinations.", "analyzer": "correlation", "metadata": { "files_involved": [ "scripts/_common.py" ], "semantic_facts": { "evidence_kind": "correlated_behavior", "context_kind": "code", "commands": [ { "executable": "requests", "argument_classes": [ "request_method", "credential_authentication", "destination_dynamic" ], "downloads": false, "executes": false, "destructive": false, "privilege_change": false, "source_class": "", "sink_class": "network", "file_path": "scripts/_common.py" } ], "urls": [], "flows": [ { "source_class": "sensitive_environment", "sink_class": "network", "transforms": [], "cross_file": false, "source_path": "scripts/_common.py", "sink_path": "scripts/_common.py" } ], "reference_edges": [], "signals": [ { "rule_id": "CORRELATION_SIGNAL", "kind": "correlated_behavior", "file_path": "scripts/_common.py", "value_class": "sensitive_source" } ], "candidate_flow": { "source_class": "sensitive_environment", "sink_class": "network", "transforms": [], "cross_file": false, "source_path": "scripts/_common.py", "sink_path": "scripts/_common.py" } }, "aitech": "AITech-8.2", "aitech_name": "Data Exfiltration / Exposure", "aisubtech": "AISubtech-8.2.3", "aisubtech_name": "Data Exfiltration via Agent Tooling", "aitech_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0024.000: Exfiltration via AI Inference API: Infer Training Data Membership", "MITRE ATLAS: AML.T0035: AI Artifact Collection", "MITRE ATLAS: AML.T0037: Data From Local System", "MITRE ATLAS: AML.T0057: LLM Data Leakage", "NIST AML: NISTAML.037: Training Data Attacks" ], "aisubtech_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI02: Tool Misuse & Exploitation", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation", "NIST AML: N/A" ], "framework_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI02: Tool Misuse & Exploitation", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation", "NIST AML: N/A" ], "taxonomy_status": "mapped", "taxonomy_source": "rule" } }, { "id": "DATA_EXFIL_NETWORK_REQUESTS_629ce8f187", "rule_id": "DATA_EXFIL_NETWORK_REQUESTS", "category": "data_exfiltration", "severity": "MEDIUM", "title": "Outbound network request primitives that can transmit data externally", "description": "Pattern detected: requests.request(", "file_path": "scripts/_common.py", "line_number": 29, "snippet": "response = requests.request(", "remediation": "Ensure network operations are necessary and document allowed destinations", "analyzer": "static", "metadata": { "matched_pattern": "requests\\.(?:get|post|put|delete|patch|request)\\s*\\(", "matched_text": "requests.request(", "signature_pattern_index": 0, "signature_match_start": 11, "signature_match_end": 28, "signature_pattern_sha256": "cacd60a0c4b378765820016ec26f039b156d34fcbf13f99d9c0cc464990279b6", "scanner_category": "SECURITY VIOLATION", "signature_context": "code", "signature_polarity": "active", "source_category": "data_exfiltration", "category_normalization": "native", "semantic_facts": { "evidence_kind": "signature_pattern", "context_kind": "code", "signals": [ { "rule_id": "DATA_EXFIL_NETWORK_REQUESTS", "kind": "signature_polarity", "file_path": "scripts/_common.py", "value_class": "active" } ] }, "aitech": "AITech-8.2", "aitech_name": "Data Exfiltration / Exposure", "aisubtech": "AISubtech-8.2.3", "aisubtech_name": "Data Exfiltration via Agent Tooling", "aitech_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0024.000: Exfiltration via AI Inference API: Infer Training Data Membership", "MITRE ATLAS: AML.T0035: AI Artifact Collection", "MITRE ATLAS: AML.T0037: Data From Local System", "MITRE ATLAS: AML.T0057: LLM Data Leakage", "NIST AML: NISTAML.037: Training Data Attacks" ], "aisubtech_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI02: Tool Misuse & Exploitation", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation", "NIST AML: N/A" ], "framework_mappings": [ "OWASP: LLM02:2026: Sensitive Information Disclosure", "OWASP: ASI02: Tool Misuse & Exploitation", "OWASP: ASI09: Human-Agent Trust Exploitation", "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation", "NIST AML: N/A" ], "taxonomy_status": "mapped", "taxonomy_source": "rule" } }, { "id": "RESOURCE_ABUSE_INFINITE_LOOP_ba7dad1d71", "rule_id": "RESOURCE_ABUSE_INFINITE_LOOP", "category": "resource_abuse", "severity": "HIGH", "title": "Infinite loop without clear exit condition", "description": "Pattern detected: while True:", "file_path": "scripts/source_ingestion.py", "line_number": 56, "snippet": "while True:", "remediation": "Add proper exit conditions or limits to loops", "analyzer": "static", "metadata": { "matched_pattern": "while\\s+True\\s*:", "matched_text": "while True:", "signature_pattern_index": 0, "signature_match_start": 0, "signature_match_end": 11, "signature_pattern_sha256": "9cba9ba996ebf23d2460119d56cc3893566226b4a6467645c621a7405d75595b", "scanner_category": "RESOURCE ABUSE", "signature_context": "code", "signature_polarity": "active", "source_category": "resource_abuse", "category_normalization": "native", "semantic_facts": { "evidence_kind": "signature_pattern", "context_kind": "code", "signals": [ { "rule_id": "RESOURCE_ABUSE_INFINITE_LOOP", "kind": "signature_polarity", "file_path": "scripts/source_ingestion.py", "value_class": "active" } ] }, "reference_depth": 0, "aitech": "AITech-13.1", "aitech_name": "Disruption of Availability", "aisubtech": "AISubtech-13.1.1", "aisubtech_name": "Compute Exhaustion", "aitech_mappings": [ "OWASP: LLM06:2026: Unbounded Consumption", "OWASP: ASI08: Cascading Failures", "MITRE ATLAS: AML.T0029: Denial of AI Service", "NIST AML: N/A" ], "aisubtech_mappings": [ "OWASP: LLM06:2026: Unbounded Consumption", "OWASP: ASI08: Cascading Failures", "MITRE ATLAS: AML.T0029: Denial of AI Service", "NIST AML: N/A" ], "framework_mappings": [ "OWASP: LLM06:2026: Unbounded Consumption", "OWASP: ASI08: Cascading Failures", "MITRE ATLAS: AML.T0029: Denial of AI Service", "NIST AML: N/A" ], "taxonomy_status": "mapped", "taxonomy_source": "rule" } } ], "scan_duration_seconds": 0.3430297374725342, "duration_ms": 343, "analyzers_used": [ "static_analyzer", "bytecode", "pipeline", "correlation", "behavioral_analyzer", "trigger_analyzer" ], "timestamp": "2026-10-21T21:37:08.557281+00:00", "scan_metadata": { "policy_name": "default", "policy_version": "1.0", "policy_preset_base": "balanced", "policy_fingerprint_sha256": "3f48e661bfbc54597f97bbf3dcf2c1cbae2f596ddc79c0b44784efea326b3d1d", "cel": { "mode": "shadow", "runtime": "cel-go", "runtime_version": "v0.32.0;helper=2.3.1", "fact_schema": "v1", "expression_set_hash": "f26459b8f4a46a974d7ab0aaae34127b5b6a40d693e266e12fca03a69a6d26aa", "evaluated": 0, "retained": 7, "would_suppress": 0, "suppressed": 0, "fallbacks": 0, "projection_incomplete": 0, "elapsed_ms": 0.0, "projection_ms": 0.0, "evaluation_ms": 0.0, "errors": [], "per_rule": {}, "suppressed_candidates": [] }, "rule_contract": { "status": "failed", "schema_version": 2, "checked": 5, "invalid_findings": 2, "errors": [ { "code": "UNKNOWN_BUNDLED_PYTHON_RULE", "rule_id": "BEHAVIOR_CROSSFILE_EXFILTRATION_CHAIN", "expected": "declared core schema-v2 Python rule", "actual": "missing" }, { "code": "UNKNOWN_BUNDLED_PYTHON_RULE", "rule_id": "BEHAVIOR_CROSSFILE_ENV_VAR_EXFILTRATION", "expected": "declared core schema-v2 Python rule", "actual": "missing" } ] }, "taxonomy": { "source": "builtin", "version": "2.0.0", "name": "Cisco AI Security and Safety Taxonomy", "revision": "655a343ac943a51b6f61f86e47156e7752c15dc6", "snapshot_sha256": "413e8ce9081e6d91b78aaa0d0b1c06cdc15d0406ad319e23e9f9f4f80735c441", "findings": { "mapped": 7, "not_applicable": 0, "unmapped": 0 } } }, "analyzers_failed": [ { "analyzer": "behavioral", "error": "FindingContract:BEHAVIOR_CROSSFILE_EXFILTRATION_CHAIN:UNKNOWN_BUNDLED_PYTHON_RULE" }, { "analyzer": "behavioral", "error": "FindingContract:BEHAVIOR_CROSSFILE_ENV_VAR_EXFILTRATION:UNKNOWN_BUNDLED_PYTHON_RULE" } ], "scanner_version": "2.3.1", "source": "K-Dense-AI", "repo_url": "https://github.com/K-Dense-AI/scientific-agent-skills" }