{ "skill_name": "deploy-model", "skill_path": "/Users/brianlevine/claude-projects/skill-scanner-test/skills/microsoft-azure-skills/.github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model", "is_safe": true, "max_severity": "MEDIUM", "findings_count": 2, "findings": [ { "id": "BASH_TAINT_cef1c0eb49", "rule_id": "BEHAVIOR_BASH_TAINT_FLOW", "category": "data_exfiltration", "severity": "MEDIUM", "title": "Bash: tainted data flows to dangerous sink", "description": "Variable $RESOURCE_GROUP (line 5) flows to `source` at line 17.", "file_path": "preset/references/preset-workflow.md", "line_number": 70, "snippet": "echo \" Resource Group: $RESOURCE_GROUP\"", "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": "RESOURCE_GROUP", "source_line": 5, "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": "UNDECLARED_NETWORK_DESTINATION_7f2e78c019", "rule_id": "UNDECLARED_NETWORK_DESTINATION", "category": "unauthorized_tool_use", "severity": "LOW", "title": "Script contacts a destination the documentation never mentions", "description": "Script contacts or configures 'ai.azure.com' but the skill documentation never visibly mentions it. Undocumented network destinations can indicate behaviour the manifest and description do not disclose.", "file_path": "scripts/generate_deployment_url.sh", "line_number": 87, "snippet": null, "remediation": "Document the destination in SKILL.md (or the manifest description) if it is intended, or remove the undisclosed network access. Organizations can list internal hosts in llm_analysis.trusted_reference_domains.", "analyzer": "static", "metadata": { "semantic_facts": { "evidence_kind": "pattern_match", "context_kind": "code", "signals": [ { "rule_id": "UNDECLARED_NETWORK_DESTINATION", "kind": "unreferenced_executable", "file_path": "scripts/generate_deployment_url.sh", "value_class": "bash" } ] }, "aitech": "AITech-9.1", "aitech_name": "Model or Agentic System Manipulation", "aisubtech": "AISubtech-9.1.3", "aisubtech_name": "Unauthorized or Unsolicited Network Access", "aitech_mappings": [ "OWASP: LLM04:2026: Supply Chain", "OWASP: ASI04: Agentic Supply Chain Vulnerabilities", "OWASP: ASI05: Unexpected Code Execution (RCE)", "MITRE ATLAS: AML.T0050: Command and Scripting Interpreter", "NIST AML: NISTAML.023: Backdoor Poisoning", "Cisco AI MDL Code: MDL-006", "Cisco AI MDL Code: MDL-007", "Cisco AI MDL Code: MDL-005", "Cisco AI MDL Code: MDL-010", "Cisco AI MDL Code: MDL-012", "Cisco AI MDL Code: MDL-014", "Cisco AI MDL Code: MDL-015", "Cisco AI MDL Code: MDL-019" ], "aisubtech_mappings": [ "OWASP: LLM04:2026: Supply Chain", "OWASP: ASI04: Agentic Supply Chain Vulnerabilities", "OWASP: ASI05: Unexpected Code Execution (RCE)", "MITRE ATLAS: AML.T0049: Exploit Public Facing Application", "NIST AML: AML.T0072: Reverse Shell", "NIST AML: N/A" ], "framework_mappings": [ "OWASP: LLM04:2026: Supply Chain", "OWASP: ASI04: Agentic Supply Chain Vulnerabilities", "OWASP: ASI05: Unexpected Code Execution (RCE)", "MITRE ATLAS: AML.T0049: Exploit Public Facing Application", "NIST AML: AML.T0072: Reverse Shell", "NIST AML: N/A" ], "taxonomy_status": "mapped", "taxonomy_source": "rule" } } ], "scan_duration_seconds": 0.08875370025634766, "duration_ms": 88, "analyzers_used": [ "static_analyzer", "bytecode", "pipeline", "correlation", "behavioral_analyzer", "trigger_analyzer" ], "timestamp": "2026-10-22T04:35:56.416841+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": 2, "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": 2, "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": 2, "not_applicable": 0, "unmapped": 0 } } }, "scanner_version": "2.3.1", "source": "microsoft", "repo_url": "https://github.com/microsoft/azure-skills" }