{ "skill_name": "azure-prepare", "skill_path": "/Users/brianlevine/claude-projects/skill-scanner-test/skills/microsoft-azure-skills/.github/plugins/azure-skills/skills/azure-prepare", "is_safe": true, "max_severity": "MEDIUM", "findings_count": 5, "findings": [ { "id": "EXCESSIVE_FILE_COUNT_be2fd82e73", "rule_id": "EXCESSIVE_FILE_COUNT", "category": "policy_violation", "severity": "LOW", "title": "Skill package contains many files", "description": "Skill package contains 166 files. Large file counts increase attack surface and may indicate bundled dependencies or unnecessary content.", "file_path": ".", "line_number": null, "snippet": null, "remediation": "Review file inventory and remove unnecessary files.", "analyzer": "static", "metadata": { "file_count": 166, "type_breakdown": { "markdown": 164, "bash": 1, "other": 1 }, "aitech": null, "aitech_name": null, "aisubtech": null, "aisubtech_name": null, "aitech_mappings": [], "aisubtech_mappings": [], "framework_mappings": [], "taxonomy_status": "not_applicable", "taxonomy_source": "rule" } }, { "id": "LAZY_LOAD_DEEP_28acb9506b", "rule_id": "LAZY_LOAD_DEEP_NESTING", "category": "obfuscation", "severity": "MEDIUM", "title": "Deeply nested file references detected", "description": "Skill has file references nested more than 5 levels deep. This could be an attempt to hide malicious content in files that are only loaded under specific conditions.", "file_path": "SKILL.md", "line_number": null, "snippet": null, "remediation": "Flatten the reference structure or ensure all nested files are safe", "analyzer": "static", "metadata": { "aitech": "AITech-9.2", "aitech_name": "Detection Evasion", "aisubtech": "AISubtech-9.2.1", "aisubtech_name": "Obfuscation Vulnerabilities", "aitech_mappings": [ "OWASP: LLM09:2026: Vector and Embedding Weaknesses", "OWASP: ASI04: Agentic Supply Chain Vulnerabilities", "MITRE ATLAS: AML.T0074: Masquerading", "MITRE ATLAS: AML.T0068: LLM Prompt Obfuscation", "MITRE ATLAS: AML.T0107: Exploitation for Defense Evasion", "NIST AML: N/A", "Cisco AI MDL Code: MDL-001", "Cisco AI MDL Code: MDL-003", "Cisco AI MDL Code: MDL-009", "Cisco AI MDL Code: MDL-011", "Cisco AI MDL Code: MDL-016", "Cisco AI MDL Code: MDL-017", "Cisco AI MDL Code: MDL-019" ], "aisubtech_mappings": [ "OWASP: LLM09:2026: Vector and Embedding Weaknesses", "OWASP: ASI04: Agentic Supply Chain Vulnerabilities", "MITRE ATLAS: AML.T0074: Masquerading", "MITRE ATLAS: AML.T0068: LLM Prompt Obfuscation", "NIST AML: N/A", "Cisco AI MDL Code: MDL-001", "Cisco AI MDL Code: MDL-003", "Cisco AI MDL Code: MDL-009", "Cisco AI MDL Code: MDL-011", "Cisco AI MDL Code: MDL-016", "Cisco AI MDL Code: MDL-017", "Cisco AI MDL Code: MDL-019" ], "framework_mappings": [ "OWASP: LLM09:2026: Vector and Embedding Weaknesses", "OWASP: ASI04: Agentic Supply Chain Vulnerabilities", "MITRE ATLAS: AML.T0074: Masquerading", "MITRE ATLAS: AML.T0068: LLM Prompt Obfuscation", "NIST AML: N/A", "Cisco AI MDL Code: MDL-001", "Cisco AI MDL Code: MDL-003", "Cisco AI MDL Code: MDL-009", "Cisco AI MDL Code: MDL-011", "Cisco AI MDL Code: MDL-016", "Cisco AI MDL Code: MDL-017", "Cisco AI MDL Code: MDL-019" ], "taxonomy_status": "mapped", "taxonomy_source": "rule" } }, { "id": "BASH_TAINT_713f32f41c", "rule_id": "BEHAVIOR_BASH_TAINT_FLOW", "category": "data_exfiltration", "severity": "MEDIUM", "title": "Bash: tainted data flows to dangerous sink", "description": "Variable $id (line 2) flows to `source` at line 5.", "file_path": "references/services/app-service/networking.md", "line_number": 133, "snippet": "az network private-endpoint create --connection-name CONNECTIONNAME --name private-endpoint --private-connection-resource-id $id --resource-group RG --subnet SUBNET --group-id sites --vnet-name VNET", "remediation": "Review the data flow from source to sink. Avoid sending sensitive or untrusted data to network or execution commands.", "analyzer": "behavioral", "metadata": { "source_var": "id", "source_line": 2, "sink_command": "source", "taints": [ "COMMAND_OUTPUT" ], "behavior_category": "command_injection", "from_code_block": true, "block_language": "bash", "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": "BASH_TAINT_2d45403f4b", "rule_id": "BEHAVIOR_BASH_TAINT_FLOW", "category": "data_exfiltration", "severity": "MEDIUM", "title": "Bash: tainted data flows to dangerous sink", "description": "Variable $RG_NAME (line 4) flows to `source` at line 12.", "file_path": "references/services/container-apps/terraform.md", "line_number": 99, "snippet": "--resource-group $RG_NAME \\", "remediation": "Review the data flow from source to sink. Avoid sending sensitive or untrusted data to network or execution commands.", "analyzer": "behavioral", "metadata": { "source_var": "RG_NAME", "source_line": 4, "sink_command": "source", "taints": [ "COMMAND_OUTPUT" ], "behavior_category": "command_injection", "from_code_block": true, "block_language": "bash", "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": "BASH_TAINT_a0eb221a87", "rule_id": "BEHAVIOR_BASH_TAINT_FLOW", "category": "data_exfiltration", "severity": "MEDIUM", "title": "Bash: tainted data flows to dangerous sink", "description": "Variable $RG_NAME (line 4) flows to `source` at line 19.", "file_path": "references/services/container-apps/terraform.md", "line_number": 106, "snippet": "--resource-group $RG_NAME \\", "remediation": "Review the data flow from source to sink. Avoid sending sensitive or untrusted data to network or execution commands.", "analyzer": "behavioral", "metadata": { "source_var": "RG_NAME", "source_line": 4, "sink_command": "source", "taints": [ "COMMAND_OUTPUT" ], "behavior_category": "command_injection", "from_code_block": true, "block_language": "bash", "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": 0.7281651496887207, "duration_ms": 728, "analyzers_used": [ "static_analyzer", "bytecode", "pipeline", "correlation", "behavioral_analyzer", "trigger_analyzer" ], "timestamp": "2026-10-22T04:36:00.814875+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": 5, "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": "passed", "schema_version": 2, "checked": 5, "invalid_findings": 0, "errors": [] }, "taxonomy": { "source": "builtin", "version": "2.0.0", "name": "Cisco AI Security and Safety Taxonomy", "revision": "655a343ac943a51b6f61f86e47156e7752c15dc6", "snapshot_sha256": "413e8ce9081e6d91b78aaa0d0b1c06cdc15d0406ad319e23e9f9f4f80735c441", "findings": { "mapped": 4, "not_applicable": 1, "unmapped": 0 } } }, "scanner_version": "2.3.1", "source": "microsoft", "repo_url": "https://github.com/microsoft/azure-skills" }