awslabs.oracle-mcp-server

v0.1.1 suspicious
6.0
Medium Risk

An AWS Labs Model Context Protocol (MCP) server for Oracle Database on AWS RDS

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to credential harvesting potential and dynamic module imports, which might be used for obfuscation. Although there's no direct evidence of malicious intent, the combination of these factors raises concerns.

  • Potential credential harvesting through SQL injection
  • Use of dynamic module imports suggesting possible obfuscation techniques
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires them for its functionality.
  • Shell: No shell execution patterns detected, indicating low risk for executing unauthorized commands.
  • Obfuscation: The observed pattern with __import__ and pkgutil suggests an attempt to dynamically import modules which could be used for obfuscation but is also a common practice in some frameworks.
  • Credentials: The SQL injection risk code snippet and the assertion of issues indicate potential attempts to harvest credentials or sensitive information, raising suspicion.
  • Metadata: The author has only one package, which may indicate an inactive or new account, raising some suspicion but not enough to conclusively determine malice.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 6 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 6 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (10251 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 24 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 42 unique contributor(s) across 100 commits in awslabs/mcp
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • amespace packages. __path__ = __import__('pkgutil').extend_path(__path__, __name__) # Copyright Amazon.com, In
  • l conn_obj.created_time = __import__('datetime').datetime.now() result = await conn_obj.execute_query('
✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

  • jection_risk("SELECT URITYPE('/etc/passwd').getclob() FROM DUAL") assert len(issues) == 1 def t
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: users.noreply.github.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository awslabs/mcp appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Amazon Web Services" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with awslabs.oracle-mcp-server 
Create a mini-application named 'OracleDBQueryApp' that leverages the 'awslabs.oracle-mcp-server' Python package to facilitate querying an Oracle database hosted on Amazon RDS. This application will serve as a bridge between the user interface and the Oracle database, allowing users to execute SQL queries and receive results directly through the app. Here’s a detailed breakdown of the steps and features required for this project:

1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed along with pip for package management. Install the 'awslabs.oracle-mcp-server' package using pip.
2. **Database Connection**: Utilize the 'awslabs.oracle-mcp-server' package to establish a connection to the Oracle database running on Amazon RDS. Make sure to handle credentials securely, possibly using environment variables or a configuration file.
3. **User Interface**: Design a simple command-line interface (CLI) where users can input their SQL queries. The CLI should provide options like 'Execute Query', 'List Tables', and 'Exit'.
4. **Query Execution**: Implement functionality within the application to parse the SQL query from the user, pass it through the 'awslabs.oracle-mcp-server' package to execute against the Oracle database, and then display the results back to the user in a readable format.
5. **Error Handling**: Include robust error handling to manage various scenarios such as invalid SQL syntax, database connectivity issues, and permission errors. Provide meaningful error messages to guide users.
6. **Advanced Features** (Optional): Consider adding advanced features such as query history, support for complex SQL operations like JOINs and subqueries, and the ability to export query results into CSV files.
7. **Documentation**: Write comprehensive documentation detailing how to install and run the application, including setup instructions for the Oracle database and necessary configurations.

By completing these steps, you'll create a versatile tool for interacting with Oracle databases on AWS RDS, demonstrating practical use of the 'awslabs.oracle-mcp-server' package.

💬 Discussion Feed

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