awslabs.aws-iot-sitewise-mcp-server

v11.0.17 suspicious
6.0
Medium Risk

An AWS Labs Model Context Protocol (MCP) server for aws-iot-sitewise

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential credential harvesting, which significantly elevates its risk level despite having low scores in other categories. Further investigation is required.

  • High credential risk
  • Unusual absence of network calls
Per-check LLM notes
  • Network: Low risk as no network calls were detected; however, absence of network calls might be unusual if the package is intended to interact with AWS services.
  • Shell: Very low risk as shell execution was not detected.
  • Obfuscation: The observed pattern is commonly used for extending package paths and does not inherently indicate malicious intent.
  • Credentials: The detected pattern appears to be an attempt to execute a command that could potentially harvest system credentials, indicating high risk.
  • Metadata: The author has only one package, which might indicate a new or less active account, but no other suspicious flags are present.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 19 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 19 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "docs" -> https://awslabs.github.io/mcp/servers/aws-iot-sitewise-mcp-s
  • Detailed PyPI description (29000 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 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 59 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 2.0

Found 1 obfuscation pattern(s)

  • amespace packages. __path__ = __import__('pkgutil').extend_path(__path__, __name__) # Copyright Amazon.com, In
Shell / Subprocess Execution

No shell execution patterns detected

Credential Harvesting score 2.5

Found 1 credential access pattern(s)

  • te_string_for_injection('`cat /etc/passwd`') with pytest.raises(ValidationError, match='comm
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, Yuri Chamarelli" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

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