aws-war-lens

v0.1.7 suspicious
6.0
Medium Risk

AWS Well-Architected Review — automated assessment and PDF report generator

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package requests AWS access keys and profiles, raising concerns about potential credential harvesting. Additionally, low maintainer activity and poor metadata quality suggest a lack of oversight, increasing suspicion.

  • credential risk due to request for AWS access keys
  • low maintainer activity and poor metadata quality
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute commands on the host system.
  • Obfuscation: No obfuscation patterns were detected.
  • Credentials: The code is requesting AWS access keys and profiles, which could indicate legitimate usage but also poses a risk for credential harvesting.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, which may indicate lack of community trust or oversight.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

  • 7 test file(s) detected (e.g. test_cost_evaluator.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (12411 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
  • 267 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

  • elp="AWS named profile from ~/.aws/credentials") parser.add_argument("--access-key", dest="access_key"
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aws-war-lens 
Create a fully-functional mini-application named 'WellArchitectReviewTool' using the Python package 'aws-war-lens'. This tool will serve as an automated assessment and PDF report generator for AWS environments based on the Well-Architected Framework. The application should have the following core functionalities:

1. **User Authentication**: Implement a simple user authentication system to ensure only authorized users can access the Well-Architected review process.
2. **AWS Environment Assessment**: Utilize 'aws-war-lens' to automatically assess the provided AWS environment against the five pillars of the Well-Architected Framework: Security, Reliability, Performance Efficiency, Cost Optimization, and Operational Excellence.
3. **PDF Report Generation**: After the assessment, generate a detailed PDF report summarizing the findings from each pillar. Include recommendations for improvement and compliance scores.
4. **Dashboard Interface**: Develop a basic web dashboard where users can input their AWS credentials securely, initiate the assessment, and view/download the generated PDF report.
5. **Customization Options**: Allow users to customize certain aspects of the report such as adding a company logo, changing the theme, and selecting specific focus areas within the framework.
6. **Logging and Error Handling**: Implement robust logging and error handling mechanisms to track any issues during the assessment process and notify users accordingly.

To achieve these functionalities, you will need to integrate 'aws-war-lens' into your project to perform the actual assessments. Ensure that the tool is easy to use, provides clear and actionable insights, and adheres to best practices for security and data privacy.

💬 Discussion Feed

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