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Security audit

1688-product-manage

Security checks for vulnerabilities and agentic risk

Overview

The skill coherently prepares 1688 product drafts, with scoped uploads and user-controlled final publication.

Use an authorized 1688 store and provide only materials you may share with its services. Review generated prices, inventory, specifications and claims before publishing. Local source copies and task records remain until you remove them.

Vulnerability Patterns
  • 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
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Vulnerability Patterns
  • Output HandlingUnvalidated Output Injection, Cross-Context Output, Unbounded Output
  • Behavioral ASTexec() Call, eval() Call, Dynamic Import
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
Findings (5)

Skill declares no tool scope ('permissions' or 'allowed-tools') but code capabilities were detected: file_read, file_write, network, shell.

Medium
Category
MCP Least Privilege
Confidence
70% confidence
Finding

Without declared permissions the skill's intent is opaque and cannot be validated.

Content

No source excerpt is available for this finding.

The workflow instructs the agent to send image URLs or complete local image contents to an external image-bank service without a privacy warning.

Medium
Category
Output Handling
Confidence
88% confidence
Finding

These steps actively instruct URL conversion and uploading complete Base64-encoded image files, rather than merely listing available tools. Although the upload mechanics are described, the file does not warn that image contents or source URLs will be disclosed to an external service, which matters for private or confidential images.

Content

No source excerpt is available for this finding.

The workflow submits product source material and pricing/inventory data to 1688 prediction tools without a privacy disclosure.

Medium
Category
Output Handling
Confidence
90% confidence
Finding

The submission parameters include product image URLs, user descriptions, source materials, and SKU pricing and inventory; step 2 at L64 instructs the agent to submit the request. The file does not warn users that these potentially confidential materials are sent to an external service, so this is an operational instruction rather than merely a tool listing.

Content

No source excerpt is available for this finding.

The command runner executes subprocesses without disclosing that behavior.

Medium
Category
Output Handling
Confidence
94% confidence
Finding

The run helper executes the supplied command via subprocess.run, but provides no confirmation, user-facing execution log, or explanatory docstring or comment. The module-level description mentions local-file helpers, which does not disclose external command execution; captured output is returned rather than visibly logged.

Content

No source excerpt is available for this finding.

subprocess module call

Medium
Category
Dangerous Code Execution
Confidence
70% confidence
Finding

subprocess module calls execute external commands. Without careful input validation, this enables command injection.

Content

Scanner excerpt · scripts/_local_io.py (reported line 17)May include surrounding context.

python
def run(argv, timeout=60):
    result = subprocess.run(argv, capture_output=True, text=True, timeout=timeout)
    if result.returncode:
        raise ValueError((result.stderr or result.stdout or "command failed")[-1500:])
    return result.stdout