{
  "skill_name": "azure-cloud-migrate",
  "skill_path": "/Users/brianlevine/claude-projects/skill-scanner-test/skills/microsoft-azure-skills/.github/plugins/azure-skills/skills/azure-cloud-migrate",
  "is_safe": true,
  "max_severity": "MEDIUM",
  "findings_count": 8,
  "findings": [
    {
      "id": "BASH_TAINT_f24e1f350a",
      "rule_id": "BEHAVIOR_BASH_TAINT_FLOW",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Bash: tainted data flows to dangerous sink",
      "description": "Variable $SUBNET_ID (line 4) flows to `source` at line 7.",
      "file_path": "references/services/container-apps/cloudrun-deployment-guide.md",
      "line_number": 82,
      "snippet": "--infrastructure-subnet-resource-id \"$SUBNET_ID\"",
      "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": "SUBNET_ID",
        "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_43d761a6af",
      "rule_id": "BEHAVIOR_BASH_TAINT_FLOW",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Bash: tainted data flows to dangerous sink",
      "description": "Variable $FQDN (line 1) flows to `curl` at line 2.",
      "file_path": "references/services/container-apps/cloudrun-deployment-guide.md",
      "line_number": 194,
      "snippet": "curl -I \"https://$FQDN/health\"",
      "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": "FQDN",
        "source_line": 1,
        "sink_command": "curl",
        "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_ff4d03c11c",
      "rule_id": "BEHAVIOR_BASH_TAINT_FLOW",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Bash: tainted data flows to dangerous sink",
      "description": "Variable $LOG_ID (line 3) flows to `source` at line 5.",
      "file_path": "references/services/container-apps/deployment-guide.md",
      "line_number": 65,
      "snippet": "az containerapp env create --name myapp-env --resource-group myapp-rg --location eastus --logs-workspace-id \"$LOG_ID\" --logs-workspace-key \"$LOG_KEY\"",
      "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": "LOG_ID",
        "source_line": 3,
        "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_06c615e12c",
      "rule_id": "BEHAVIOR_BASH_TAINT_FLOW",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Bash: tainted data flows to dangerous sink",
      "description": "Variable $FQDN (line 2) flows to `curl` at line 4.",
      "file_path": "references/services/container-apps/deployment-guide.md",
      "line_number": 160,
      "snippet": "curl https://$FQDN/health",
      "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": "FQDN",
        "source_line": 2,
        "sink_command": "curl",
        "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_0333dd73ea",
      "rule_id": "BEHAVIOR_BASH_TAINT_FLOW",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Bash: tainted data flows to dangerous sink",
      "description": "Variable $SUBNET_ID (line 7) flows to `source` at line 10.",
      "file_path": "references/services/container-apps/fargate-deployment-guide.md",
      "line_number": 75,
      "snippet": "--infrastructure-subnet-resource-id \"$SUBNET_ID\"",
      "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": "SUBNET_ID",
        "source_line": 7,
        "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_bbdb1dd521",
      "rule_id": "BEHAVIOR_BASH_TAINT_FLOW",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Bash: tainted data flows to dangerous sink",
      "description": "Variable $FQDN (line 2) flows to `curl` at line 3.",
      "file_path": "references/services/container-apps/fargate-deployment-guide.md",
      "line_number": 199,
      "snippet": "curl -f -I \"https://$FQDN/health\" || { echo \"Health check failed\"; exit 1; }",
      "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": "FQDN",
        "source_line": 2,
        "sink_command": "curl",
        "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_dec1801f08",
      "rule_id": "BEHAVIOR_BASH_TAINT_FLOW",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Bash: tainted data flows to dangerous sink",
      "description": "Variable $LOG_ID (line 5) flows to `source` at line 7.",
      "file_path": "references/services/container-apps/spring-deployment-guide.md",
      "line_number": 13,
      "snippet": "az containerapp env create --name spring-env --resource-group spring-rg --location eastus --logs-workspace-id \"$LOG_ID\" --logs-workspace-key \"$LOG_KEY\"",
      "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": "LOG_ID",
        "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": "BASH_TAINT_8f74be970a",
      "rule_id": "BEHAVIOR_BASH_TAINT_FLOW",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Bash: tainted data flows to dangerous sink",
      "description": "Variable $FQDN (line 1) flows to `curl` at line 3.",
      "file_path": "references/services/container-apps/spring-deployment-guide.md",
      "line_number": 238,
      "snippet": "curl \"https://${FQDN}/actuator/health\"",
      "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": "FQDN",
        "source_line": 1,
        "sink_command": "curl",
        "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": 0.15415382385253906,
  "duration_ms": 154,
  "analyzers_used": [
    "static_analyzer",
    "bytecode",
    "pipeline",
    "correlation",
    "behavioral_analyzer",
    "trigger_analyzer"
  ],
  "timestamp": "2026-10-22T04:35:58.878697+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": 8,
      "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": 8,
      "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": 8,
        "not_applicable": 0,
        "unmapped": 0
      }
    }
  },
  "scanner_version": "2.3.1",
  "source": "microsoft",
  "repo_url": "https://github.com/microsoft/azure-skills"
}