Alibabacloud Sdk Client Initialization For Golang

• Outcome: Pass
• Latest audit: Sep 15, 2026 · 1:41 AM UTC
• Version: 0.0.1-beta

Overview

This skill is coherent Alibaba Cloud Go SDK guidance, with a clear caution that its debug logging advice can expose sensitive cloud request data if used carelessly.

Before installing, be aware that the skill shows how to enable Alibaba Cloud SDK debug logging for all requests. Use that only temporarily in controlled environments, restrict access to logs, redact secrets and request data before sharing, and disable the DEBUG variable after troubleshooting.

A.I.G

Vulnerability Patterns

• Insecure Skill Coding Practices: Finds exploitable flaws such as hardcoded secrets or command injection
• Skill Instruction Hijacking: Alters the agent's session goals or safety constraints when the skill loads
• Agent Memory Poisoning: Writes attacker-controlled rules into memory that affect later sessions
• Remote Payload Retrieval and Execution: Fetches external code whose behavior can change after review
• Embedded Malicious Code: Ships malicious scripts inside the skill and executes them locally

Findings (1)

T09 · Insecure Skill Coding Practices

Warning

• Location: SKILL.md:92

Finding

Unrestricted Alibaba Cloud SDK Debug Logging May Expose Sensitive Request Data

Content

View full analysis

Vulnerability Details

File Location: SKILL.md, lines 92-97
Vulnerability Type: Unrestricted logging of potentially sensitive cloud requests
Risk Level: Medium

Vulnerable Code

markdown

## Debugging

Enable debug mode via environment variable to log all requests:

```bash
export DEBUG=tea

text

### Technical Analysis

The Skill recommends enabling the Alibaba Cloud Tea SDK debug mode to log all requests, but it does not warn users that diagnostic output may contain sensitive request metadata, resource identifiers, request payloads, or authorization-related information.

Because the documented client is initialized with Alibaba Cloud credentials from environment variables elsewhere in the same file, its request and diagnostic logs should be treated as sensitive. Debug output may be captured by shell history, CI/CD logs, centralized logging platforms, terminal recordings, or support bundles. The recommendation does not require redaction, access restrictions, limited retention, or disabling debug mode after troubleshooting.

Whether credentials themselves are exposed depends on the SDK's redaction behavior and version. However, enabling unrestricted request logging without protective guidance creates a credible risk of sensitive cloud information being disclosed.

### Attack Path

1. A developer follows the Skill's troubleshooting instructions and sets `DEBUG=tea`.
2. The application makes authenticated Alibaba Cloud API requests while debug mode is active.
3. Request details are written to a terminal, CI/CD output, application logs, or a centralized logging service.
4. The logs are retained or made accessible to users who do not have equivalent access to the Alibaba Cloud resources.
5. An unauthorized reader extracts sensitive request payloads, resource identifiers, authorization metadata, or operational information and uses it to identify cloud assets, obtain exposed data, or support further at
...[truncated 695 chars]

Remediation

View remediation

Remediation Suggestions

• State explicitly that Tea SDK debug logging is intended only for temporary troubleshooting in non-production or tightly controlled environments.

• Verify and document exactly which headers, request fields, and response fields the installed SDK version emits.

• Require redaction of credentials, authorization headers, tokens, personal data, request bodies, and other sensitive values before logs are stored or shared.

• Restrict access to debug output and apply short retention periods to diagnostic logs.

• Avoid enabling debug mode in shared CI/CD jobs or production environments unless secure log handling is enforced.

• Instruct users to disable debug mode immediately after troubleshooting:

  bash

  unset DEBUG
  

• Prefer narrowly scoped diagnostic logging over logging every SDK request.

• Rotate affected credentials and review cloud audit logs if sensitive authorization material is discovered in existing debug output.

SkillSpector

Vulnerability Patterns

• Prompt Injection: Instruction Override, Hidden Instructions, Exfiltration Commands
• Data Exfiltration: External Transmission, Env Variable Harvesting, File System Enumeration
• Privilege Escalation: Excessive Permissions, Sudo/Root Execution, Credential Access
• Supply Chain: Unpinned Dependencies, External Script Fetching, Obfuscated Code
• Excessive Agency: Unrestricted Tool Access, Autonomous Decision Making, Scope Creep

Findings (2)

Instruction Override

High

• Category: Prompt Injection
• Confidence: 70% confidence

Finding

This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.

Content

Scanner excerpt · SKILL.md (reported line 93)May include surrounding context.

Debugging

Enable debug mode via environment variable to log all requests:

bash

export DEBUG=tea

Missing User Warnings

Medium

• Category: Not specified by scanner
• Confidence: 96% confidence

Finding

The skill instructs users to enable SDK debug logging for all requests but does not warn that request logs can include sensitive material such as access keys, authorization headers, endpoints, and request metadata. In a cloud SDK initialization skill, this is especially risky because the same document also shows credential loading from environment variables, making accidental credential disclosure in logs more plausible during troubleshooting.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.