{
  "skill_name": "orbit-card",
  "skill_path": "/Users/brianlevine/claude-projects/skill-scanner-test/skills/heygen-com-hyperframes/registry/blocks/orbit-card",
  "is_safe": true,
  "max_severity": "MEDIUM",
  "findings_count": 7,
  "findings": [
    {
      "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": "UNDECLARED_NETWORK_DESTINATION_c8a55dcce1",
      "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 'gsap.com' but the skill documentation never visibly mentions it. Undocumented network destinations can indicate behaviour the manifest and description do not disclose.",
      "file_path": "assets/gsap-3.14.2.min.js",
      "line_number": 2096,
      "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": {
        "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"
      }
    },
    {
      "id": "DATA_EXFIL_JS_NETWORK_7cf6961e40",
      "rule_id": "DATA_EXFIL_JS_NETWORK",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Outbound network request primitives in JavaScript/TypeScript",
      "description": "Pattern detected: fetch(",
      "file_path": "assets/three.core.min.js",
      "line_number": 13955,
      "snippet": "(fetch(n)",
      "remediation": "Ensure network operations are necessary and document allowed destinations",
      "analyzer": "static",
      "metadata": {
        "matched_pattern": "\\bfetch\\s*\\(",
        "matched_text": "fetch(",
        "signature_pattern_index": 0,
        "signature_match_start": 1,
        "signature_match_end": 7,
        "signature_pattern_sha256": "57220410873979f73624c44365682301491cb30501bab8d40d073a07386ad701",
        "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_JS_NETWORK",
              "kind": "signature_polarity",
              "file_path": "assets/three.core.min.js",
              "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": "DATA_EXFIL_JS_NETWORK_c383bef975",
      "rule_id": "DATA_EXFIL_JS_NETWORK",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Outbound network request primitives in JavaScript/TypeScript",
      "description": "Pattern detected: fetch(",
      "file_path": "assets/three.core.min.js",
      "line_number": 15734,
      "snippet": "\"undefined\" == typeof fetch && ai(\"ImageBitmapLoader: fetch() not supported.\"),",
      "remediation": "Ensure network operations are necessary and document allowed destinations",
      "analyzer": "static",
      "metadata": {
        "matched_pattern": "\\bfetch\\s*\\(",
        "matched_text": "fetch(",
        "signature_pattern_index": 0,
        "signature_match_start": 54,
        "signature_match_end": 60,
        "signature_pattern_sha256": "57220410873979f73624c44365682301491cb30501bab8d40d073a07386ad701",
        "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_JS_NETWORK",
              "kind": "signature_polarity",
              "file_path": "assets/three.core.min.js",
              "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": "DATA_EXFIL_JS_NETWORK_bd6acfe607",
      "rule_id": "DATA_EXFIL_JS_NETWORK",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Outbound network request primitives in JavaScript/TypeScript",
      "description": "Pattern detected: fetch(",
      "file_path": "assets/three.core.min.js",
      "line_number": 15767,
      "snippet": "const o = fetch(t, a)",
      "remediation": "Ensure network operations are necessary and document allowed destinations",
      "analyzer": "static",
      "metadata": {
        "matched_pattern": "\\bfetch\\s*\\(",
        "matched_text": "fetch(",
        "signature_pattern_index": 0,
        "signature_match_start": 10,
        "signature_match_end": 16,
        "signature_pattern_sha256": "57220410873979f73624c44365682301491cb30501bab8d40d073a07386ad701",
        "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_JS_NETWORK",
              "kind": "signature_polarity",
              "file_path": "assets/three.core.min.js",
              "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": "FILE_MAGIC_MISMATCH_edfb77ac89",
      "rule_id": "FILE_MAGIC_MISMATCH",
      "category": "obfuscation",
      "severity": "MEDIUM",
      "title": "File extension does not match actual content type",
      "description": "File 'three.module.min.js' extension (.js) suggests one format but Magika detected a different text format: TypeScript source (typescript). This may indicate content obfuscation or a misnamed file.",
      "file_path": "assets/three.module.min.js",
      "line_number": null,
      "snippet": null,
      "remediation": "Rename the file to match its actual content type, or remove it if it appears malicious.",
      "analyzer": "static",
      "metadata": {
        "actual_type": "code/typescript",
        "actual_family": "code",
        "claimed_extension": ".js",
        "confidence_score": 0.9495670199394226,
        "semantic_facts": {
          "evidence_kind": "file_magic",
          "context_kind": "binary",
          "signals": [
            {
              "rule_id": "FILE_MAGIC_MISMATCH",
              "kind": "file_magic_mismatch",
              "file_path": "assets/three.module.min.js",
              "value_class": "binary"
            }
          ]
        },
        "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": "UNDECLARED_NETWORK_DESTINATION_5df89d3282",
      "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 'jcgt.org' but the skill documentation never visibly mentions it. Undocumented network destinations can indicate behaviour the manifest and description do not disclose.",
      "file_path": "assets/three.module.min.js",
      "line_number": 1992,
      "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": {
        "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": 2.084908962249756,
  "duration_ms": 2084,
  "analyzers_used": [
    "static_analyzer",
    "bytecode",
    "pipeline",
    "correlation",
    "behavioral_analyzer",
    "trigger_analyzer"
  ],
  "timestamp": "2026-10-22T04:36:33.547718+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": "passed",
      "schema_version": 2,
      "checked": 4,
      "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": 6,
        "not_applicable": 1,
        "unmapped": 0
      }
    }
  },
  "scanner_version": "2.3.1",
  "source": "heygen-com",
  "repo_url": "https://github.com/heygen-com/hyperframes"
}