{ "skill_name": "infographics", "skill_path": "/home/runner/work/skill-scanner-test/skill-scanner-test/scripts/../skills/K-Dense-AI-scientific-agent-skills/skills/infographics", "is_safe": false, "max_severity": "CRITICAL", "findings_count": 7, "findings": [ { "id": "CROSSFILE_ENV_VAR_EXFILTRATION_228a7cd9ce", "rule_id": "BEHAVIOR_CROSSFILE_ENV_VAR_EXFILTRATION", "category": "data_exfiltration", "severity": "CRITICAL", "title": "Cross-file env var exfiltration: 2 files", "description": "Environment variable access with network calls in scripts/generate_infographic.py, scripts/generate_infographic_ai.py", "file_path": null, "line_number": null, "snippet": null, "remediation": "Review data flow across files: scripts/generate_infographic.py, scripts/generate_infographic_ai.py", "analyzer": "behavioral", "metadata": { "aisubtech": "AISubtech-8.2.3", "files_involved": [ "scripts/generate_infographic.py", "scripts/generate_infographic_ai.py" ], "threat_type": "env_var_exfiltration", "evidence": { "env_var_files": [ "scripts/generate_infographic.py", "scripts/generate_infographic_ai.py" ], "network_files": [ "scripts/generate_infographic_ai.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_d45e519ebd", "rule_id": "BEHAVIOR_CROSSFILE_EXFILTRATION_CHAIN", "category": "data_exfiltration", "severity": "CRITICAL", "title": "Cross-file exfiltration chain: 2 files", "description": "Multi-file exfiltration chain detected: scripts/generate_infographic.py, scripts/generate_infographic_ai.py collect data \u2192 scripts/generate_infographic_ai.py \u2192 scripts/generate_infographic_ai.py transmit to network", "file_path": null, "line_number": null, "snippet": null, "remediation": "Review data flow across files: scripts/generate_infographic.py, scripts/generate_infographic_ai.py", "analyzer": "behavioral", "metadata": { "aisubtech": "AISubtech-8.2.3", "files_involved": [ "scripts/generate_infographic.py", "scripts/generate_infographic_ai.py" ], "threat_type": "exfiltration_chain", "evidence": { "collection_files": [ "scripts/generate_infographic.py", "scripts/generate_infographic_ai.py" ], "encoding_files": [ "scripts/generate_infographic_ai.py" ], "network_files": [ "scripts/generate_infographic_ai.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_c5e2ebc551", "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/infographics/scripts/generate_infographic_ai.py", "file_path": "/home/runner/work/skill-scanner-test/skill-scanner-test/skills/K-Dense-AI-scientific-agent-skills/skills/infographics/scripts/generate_infographic_ai.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": "ALLOWED_TOOLS_NETWORK_USAGE_3ea09e94da", "rule_id": "ALLOWED_TOOLS_NETWORK_USAGE", "category": "unauthorized_tool_use", "severity": "MEDIUM", "title": "Code makes network requests", "description": "Skill code makes network requests. While not controlled by allowed-tools, network access should be documented and justified in the skill description.", "file_path": "SKILL.md", "line_number": null, "snippet": null, "remediation": "Document network usage in skill description or remove network operations if not needed", "analyzer": "static", "metadata": { "semantic_facts": { "evidence_kind": "capability_mismatch", "context_kind": "manifest", "signals": [ { "rule_id": "ALLOWED_TOOLS_NETWORK_USAGE", "kind": "undocumented_network", "file_path": "SKILL.md", "value_class": "external_network" } ], "candidate_flow": { "source_class": "skill_code", "sink_class": "external_network", "transforms": [], "cross_file": false, "source_path": "scripts/generate_infographic_ai.py", "sink_path": "scripts/generate_infographic_ai.py" }, "flows": [ { "source_class": "skill_code", "sink_class": "external_network", "transforms": [], "cross_file": false, "source_path": "scripts/generate_infographic_ai.py", "sink_path": "scripts/generate_infographic_ai.py" } ] }, "cel": { "decision": "would_suppress", "reason": "shadow_or_rule_rollout", "fact_schema": "v1", "expression_hash": "0b8ef9fa27b8e3797a476f560bb6e6af6243c9e03a7d09a3fd0756d96b57affe", "pack": "core", "rollout": "shadow" }, "aitech": "AITech-2.1", "aitech_name": "Excessive Agency", "aisubtech": "AISubtech-2.1.2", "aisubtech_name": "Capability and Permission Overreach", "aitech_mappings": [ "OWASP: LLM03:2026: Excessive Agency", "OWASP: ASI10: Rogue Agents", "MITRE ATLAS: N/A", "NIST AML: N/A" ], "aisubtech_mappings": [ "OWASP: LLM03:2026: Excessive Agency", "OWASP: ASI10: Rogue Agents", "MITRE ATLAS: N/A", "NIST AML: N/A" ], "framework_mappings": [ "OWASP: LLM03:2026: Excessive Agency", "OWASP: ASI10: Rogue Agents", "MITRE ATLAS: N/A", "NIST AML: N/A" ], "taxonomy_status": "mapped", "taxonomy_source": "rule" } }, { "id": "DESC_BEHAVIOR_MISMATCH_c2ffe83f81", "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": "MANIFEST_MISSING_LICENSE_c5ae9be793", "rule_id": "MANIFEST_MISSING_LICENSE", "category": "policy_violation", "severity": "INFO", "title": "Skill does not specify a license", "description": "Skill manifest does not include a 'license' field. Specifying a license helps users understand usage terms.", "file_path": "SKILL.md", "line_number": null, "snippet": null, "remediation": "Add 'license' field to SKILL.md frontmatter (e.g., MIT, Apache-2.0)", "analyzer": "static", "metadata": { "aitech": null, "aitech_name": null, "aisubtech": null, "aisubtech_name": null, "aitech_mappings": [], "aisubtech_mappings": [], "framework_mappings": [], "taxonomy_status": "not_applicable", "taxonomy_source": "rule" } }, { "id": "DATA_EXFIL_NETWORK_REQUESTS_5882a19193", "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.post(", "file_path": "scripts/generate_infographic_ai.py", "line_number": 628, "snippet": "response = requests.post(", "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.post(", "signature_pattern_index": 0, "signature_match_start": 11, "signature_match_end": 25, "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/generate_infographic_ai.py", "value_class": "active" }, { "rule_id": "DATA_EXFIL_NETWORK_REQUESTS", "kind": "unreferenced_executable", "file_path": "scripts/generate_infographic_ai.py", "value_class": "python" } ] }, "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" } } ], "scan_duration_seconds": 0.6656088829040527, "duration_ms": 665, "analyzers_used": [ "static_analyzer", "bytecode", "pipeline", "correlation", "behavioral_analyzer", "trigger_analyzer" ], "timestamp": "2026-10-21T21:36:52.093156+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": 1, "retained": 7, "would_suppress": 1, "suppressed": 0, "fallbacks": 0, "projection_incomplete": 0, "elapsed_ms": 1.322, "projection_ms": 0.437, "evaluation_ms": 0.766, "errors": [], "per_rule": { "ALLOWED_TOOLS_NETWORK_USAGE": { "keep": 0, "would_suppress": 1, "fallback": 0, "suppressed": 0, "expression_hash": "0b8ef9fa27b8e3797a476f560bb6e6af6243c9e03a7d09a3fd0756d96b57affe", "pack": "core", "rollout": "shadow" } }, "suppressed_candidates": [] }, "rule_contract": { "status": "failed", "schema_version": 2, "checked": 6, "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": 6, "not_applicable": 1, "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" }