{
  "skill_name": "defi",
  "skill_path": "/workspace/skills/clawhub-defi",
  "skill_directory": "/workspace/skills/clawhub-defi",
  "is_safe": false,
  "max_severity": "HIGH",
  "findings_count": 3,
  "findings": [
    {
      "id": "llm_finding_defi_0",
      "rule_id": "LLM_DATA_EXFILTRATION",
      "category": "data_exfiltration",
      "severity": "HIGH",
      "title": "Hardcoded Referral Addresses Enable Financial Interception",
      "description": "The skill hardcodes referral addresses and fee percentages that route a portion of all user transactions to third-party addresses (0x890CACd9dEC1E1409C6598Da18DC3d634e600b45 on EVM chains, 8KDDpruBwpTzJLKEcfv8JefKSVYWYE53FV3B2iLD6bNN on Solana, and 'CyberPay' integrator on LI.FI). This creates an undisclosed financial relationship where 0.2-0.3% of every swap is diverted to these addresses. Users are not informed that their transactions will incur additional fees beyond standard swap costs, and the skill provides no mechanism to opt-out or verify the legitimacy of these addresses.",
      "file_path": "SKILL.md",
      "line_number": null,
      "snippet": "| Chain | Aggregator | Fee | Referrer |\n|-------|------------|-----|----------|\n| EVM (ETH/ARB/POLY) | 1inch | 0.3% | `0x890CACd9dEC1E1409C6598Da18DC3d634e600b45` |\n| Solana | Jupiter | 0.2% | `8KDDpruBwpTzJLKEcfv8JefKSVYWYE53FV3B2iLD6bNN` |\n| Cross-chain | LI.FI | 0.3% | `CyberPay` integrator |",
      "remediation": "Remove hardcoded referral addresses or make them explicitly configurable by the user. Clearly disclose all fees in the skill description. Provide transparency about where fees are sent and allow users to verify or modify referral addresses. Consider making referral participation opt-in rather than mandatory.",
      "analyzer": "llm",
      "metadata": {
        "model": "claude-sonnet-4-5-20250929",
        "overall_assessment": "This DeFi skill presents MODERATE security risks primarily related to financial transparency and external API trust. The most significant concern is the hardcoded referral addresses that silently divert 0.2-0.3% of user transactions to third-party addresses without explicit user consent - this is a HIGH severity issue affecting financial transparency. The skill also exhibits transitive trust vulnerabilities by blindly trusting external API responses without validation, and requires API key management without providing security guidance. Missing referenced Python files suggest incomplete implementation, creating misleading expectations about functionality. While the skill uses standard tools (curl, jq) and doesn't contain malicious code execution patterns, the combination of undisclosed financial relationships, unvalidated external dependencies, and missing security guidance warrants caution. The skill is functional for read-only DeFi data queries but the swap functionality with embedded referral fees requires user awareness and consent.",
        "primary_threats": [
          "Data Exfiltration/Exposure (hardcoded referral addresses, API key exposure)",
          "Social Engineering (incomplete implementation, undisclosed fees)",
          "Tool Exploitation (unvalidated external API dependencies)"
        ],
        "aitech": "AITech-8.2",
        "aitech_name": "Data Exfiltration / Exposure",
        "aisubtech": "AISubtech-8.2.3",
        "aisubtech_name": "Data Exfiltration via Agent Tooling",
        "scanner_category": "SECURITY VIOLATION",
        "meta_validated": true,
        "meta_confidence": "HIGH",
        "meta_confidence_reason": "The referral configuration is clearly documented in SKILL.md but completely absent from the skill description that users see when discovering the skill. This is a transparency issue, not data exfiltration - the fees go to legitimate aggregator referral programs, not to an attacker's server.",
        "meta_exploitability": "N/A - This is a transparency/disclosure issue, not a security vulnerability",
        "meta_impact": "Medium - Users pay 0.2-0.3% more than expected, but fees go through legitimate aggregator referral programs"
      }
    },
    {
      "id": "llm_finding_defi_2",
      "rule_id": "LLM_SOCIAL_ENGINEERING",
      "category": "social_engineering",
      "severity": "MEDIUM",
      "title": "Incomplete Skill Implementation - Missing Referenced Scripts",
      "description": "The skill references three Python files (ETH.py, Ethereum.py, 1inch.py) in the instructions but these files are not included in the skill package. This creates a misleading impression of functionality - the skill appears to offer programmatic DeFi interactions but only provides curl-based command examples. Users may expect automated trading capabilities that don't exist, or the missing files could indicate an incomplete or abandoned implementation.",
      "file_path": null,
      "line_number": null,
      "snippet": "Referenced files not found: ETH.py, Ethereum.py, 1inch.py",
      "remediation": "Either (1) Include the referenced Python files if they are intended to be part of the skill, (2) Remove references to non-existent files from the documentation, or (3) Clearly document that this skill only provides curl-based examples and does not include automated trading scripts.",
      "analyzer": "llm",
      "metadata": {
        "model": "claude-sonnet-4-5-20250929",
        "overall_assessment": "This DeFi skill presents MODERATE security risks primarily related to financial transparency and external API trust. The most significant concern is the hardcoded referral addresses that silently divert 0.2-0.3% of user transactions to third-party addresses without explicit user consent - this is a HIGH severity issue affecting financial transparency. The skill also exhibits transitive trust vulnerabilities by blindly trusting external API responses without validation, and requires API key management without providing security guidance. Missing referenced Python files suggest incomplete implementation, creating misleading expectations about functionality. While the skill uses standard tools (curl, jq) and doesn't contain malicious code execution patterns, the combination of undisclosed financial relationships, unvalidated external dependencies, and missing security guidance warrants caution. The skill is functional for read-only DeFi data queries but the swap functionality with embedded referral fees requires user awareness and consent.",
        "primary_threats": [
          "Data Exfiltration/Exposure (hardcoded referral addresses, API key exposure)",
          "Social Engineering (incomplete implementation, undisclosed fees)",
          "Tool Exploitation (unvalidated external API dependencies)"
        ],
        "aitech": "AITech-2.1",
        "aitech_name": "Social Engineering",
        "aisubtech": null,
        "aisubtech_name": null,
        "scanner_category": "SOCIAL ENGINEERING",
        "meta_validated": true,
        "meta_confidence": "HIGH",
        "meta_confidence_reason": "The skill content clearly shows these files are referenced but not present in the package. This is a documentation accuracy issue.",
        "meta_exploitability": "Low - Causes confusion but no direct security impact",
        "meta_impact": "Low - Users may be confused about skill capabilities but no data is at risk"
      }
    },
    {
      "id": "llm_finding_defi_3",
      "rule_id": "LLM_UNAUTHORIZED_TOOL_USE",
      "category": "unauthorized_tool_use",
      "severity": "MEDIUM",
      "title": "Unvalidated External API Dependencies",
      "description": "The skill makes direct curl calls to multiple external APIs (CoinGecko, DefiLlama, 1inch, Jupiter) without any validation, error handling, or integrity checks. Malicious or compromised API responses could inject harmful data into the agent's context. The skill blindly pipes API responses through jq without validating response structure, status codes, or content. This creates a transitive trust vulnerability where the agent trusts whatever these external services return.",
      "file_path": "SKILL.md",
      "line_number": null,
      "snippet": "curl -s \"https://api.coingecko.com/api/v3/simple/price?ids=ethereum&vs_currencies=usd\" | jq '.ethereum.usd'\ncurl -s \"https://yields.llama.fi/pools\" | jq '[.data | sort_by(-.apy) | .[:10]]'\ncurl -s \"https://api.1inch.dev/swap/v6.0/${CHAIN_ID}/quote\" -H \"Authorization: Bearer ${API_KEY}\" | jq",
      "remediation": "Implement response validation: (1) Check HTTP status codes before processing, (2) Validate JSON structure matches expected schema, (3) Sanitize numeric values and check for reasonable ranges, (4) Add error handling for network failures, (5) Consider rate limiting to prevent API abuse, (6) Warn users about trusting external data sources.",
      "analyzer": "llm",
      "metadata": {
        "model": "claude-sonnet-4-5-20250929",
        "overall_assessment": "This DeFi skill presents MODERATE security risks primarily related to financial transparency and external API trust. The most significant concern is the hardcoded referral addresses that silently divert 0.2-0.3% of user transactions to third-party addresses without explicit user consent - this is a HIGH severity issue affecting financial transparency. The skill also exhibits transitive trust vulnerabilities by blindly trusting external API responses without validation, and requires API key management without providing security guidance. Missing referenced Python files suggest incomplete implementation, creating misleading expectations about functionality. While the skill uses standard tools (curl, jq) and doesn't contain malicious code execution patterns, the combination of undisclosed financial relationships, unvalidated external dependencies, and missing security guidance warrants caution. The skill is functional for read-only DeFi data queries but the swap functionality with embedded referral fees requires user awareness and consent.",
        "primary_threats": [
          "Data Exfiltration/Exposure (hardcoded referral addresses, API key exposure)",
          "Social Engineering (incomplete implementation, undisclosed fees)",
          "Tool Exploitation (unvalidated external API dependencies)"
        ],
        "aitech": "AITech-12.1",
        "aitech_name": "Tool Exploitation",
        "aisubtech": "AISubtech-12.1.2",
        "aisubtech_name": "Tool Poisoning",
        "scanner_category": "SUSPICIOUS CODE EXECUTION",
        "meta_validated": true,
        "meta_confidence": "MEDIUM",
        "meta_confidence_reason": "This is a legitimate concern for production systems, but the skill already requires user confirmation before executing transactions, which mitigates the risk of acting on malicious data. The APIs used (CoinGecko, DefiLlama) are well-established DeFi infrastructure.",
        "meta_exploitability": "Medium - Requires compromising a major DeFi API (CoinGecko, DefiLlama) or MITM attack",
        "meta_impact": "Medium - Could display incorrect prices/yields, but transaction confirmation prevents automatic execution"
      }
    }
  ],
  "scan_duration_seconds": 45.16147994995117,
  "duration_ms": 45161,
  "analyzers_used": [
    "static_analyzer",
    "behavioral_analyzer",
    "llm_analyzer",
    "trigger_analyzer",
    "meta_analyzer"
  ],
  "timestamp": "2026-02-05T23:55:57.505117"
}