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Security audit

Alibaba Ai Search

Security checks for vulnerabilities and agentic risk

Overview

This skill is a simple Alibaba search URL helper with disclosed attribution tracking and no evidence of hidden, persistent, or destructive behavior.

Before installing, be aware that generated Alibaba links include traffic_type=ags_llm for analytics/attribution. Avoid using untrusted category values with the helper script until category URL encoding or validation is fixed.

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)

T09 · Insecure Skill Coding Practices

Note
Location
scripts/build_url.py:35
Finding

Unencoded Category Parameter Allows Query-String Injection

Content
View full analysis
Remediation
View remediation
Vulnerability Patterns
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (1)

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
87% confidence
Finding

The README explicitly states that all generated URLs include a tracking parameter for analytics and attribution, but it does not warn users about the privacy implications or give them a way to opt out. This is a real transparency/privacy issue because users may unknowingly share attribution metadata when following or distributing generated links, even though the parameter appears low risk and not overtly malicious in this context.

Content

No source excerpt is available for this finding.