T09 · Insecure Skill Coding Practices
Warning
- Location
scripts/render-gotchi-bypass.mjs:250- Finding
Unrestricted Renderer-Controlled Artifact URLs Enable Blind SSRF and Resource Exhaustion
- Content
View full analysis
- Remediation
View remediation
Security audit
Aavegotchi 3D Renderer
Security checks for vulnerabilities and agentic risk
Overview
The skill does what it says for Aavegotchi rendering, but its helper script trusts renderer-provided download URLs too broadly, which could make the user's machine fetch arbitrary or oversized remote content.
Review before installing. Use this only in an environment where outbound network requests are acceptable, avoid running it on hosts with sensitive internal HTTP services, and prefer a restricted output directory. The skill would be safer if it validated artifact URLs against expected Aavegotchi/CDN hosts and enforced timeouts and download size limits.
Vulnerability Patterns
- Insecure Skill Coding PracticesFinds exploitable flaws such as hardcoded secrets or command injection
- Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
- Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
- Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
- Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
Findings (1)
Vulnerability Patterns
- Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
- MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
- Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
- Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
- Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (6)
Ae1
High
- Category
- analysis-evasion
- Confidence
- 100% confidence
- Finding
Referenced artifact was not completely inspected
- Content
md node scripts/render-gotchi-bypass.mjs --token-id 6741
Ae1
High
- Category
- analysis-evasion
- Confidence
- 100% confidence
- Finding
Referenced artifact was not completely inspected
- Content
md node scripts/render-gotchi-bypass.mjs --token-id 6741
Undeclared Tool Scope
Medium
- Category
- MCP Least Privilege
- Confidence
- 92% confidence
- Finding
The skill performs network operations against external services but does not declare any explicit tool scope or permissions. This weakens reviewability and policy enforcement, because an agent may invoke outbound requests without a clearly documented authorization boundary.
- Content
External Transmission
Medium
- Category
- Data Exfiltration
- Confidence
- 84% confidence
- Finding
The skill sends user-supplied token identifiers or inventory-derived data to third-party endpoints at Goldsky and aavegotchi.com. This is an external data transmission risk because user input and derived metadata leave the local trust boundary, and the skill does not describe minimization, consent, or validation around those transfers.
- Content
md 1. Extract `tokenId` from direct input or inventory URL. 2. Query Goldsky Base core subgraph: `https://api.goldsky.com/api/public/project_cmh3flagm0001r4p25foufjtt/subgraphs/aavegotchi-core-base/prod/gn` 3. Derive hash in renderer format: `<Collateral>-<EyeShape>-<EyeColor>-<Body>-<Face>-<Eyes>-<Head>-<RightHand>-<LeftHand>-<Pet>` 4. Kick off render with `POST https://www.aavegotchi.com/api/renderer/batch` using:
External Transmission
Medium
- Category
- Data Exfiltration
- Confidence
- 50% confidence
- Finding
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
- Content
js import path from "node:path"; const GOLDSKY_ENDPOINT = "https://api.goldsky.com/api/public/project_cmh3flagm0001r4p25foufjtt/subgraphs/aavegotchi-core-base/prod/gn"; const DAPP_BASE = "https://www.aavegotchi.com"; const RENDER_TYPES = ["PNG_Full", "PNG_Headshot", "GLB_3DModel"]; const DEFAULT_POLL_ATTEMPTS = 18;
Missing User Warnings
Low
- Category
- Not specified by scanner
- Confidence
- 90% confidence
- Finding
The skill instructs saving raw JSON responses and rendered image artifacts to local disk without warning the user or defining retention limits. Even if the data is not highly sensitive in normal use, silent persistence can expose user-linked URLs, token identifiers, metadata, or downloaded content to later unintended access on shared systems.
- Content
Static analysis
No suspicious patterns detected.