aws-cost-cli

v0.1.0 suspicious
5.0
Medium Risk

A CLI tool to analyze and monitor your AWS spending

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to potential data exfiltration and concerns over the maintainer's history and repository activity. Further investigation is required to validate the legitimacy of external communications.

  • Network risk - data potentially sent to external URLs
  • Metadata risk - lack of maintainer history and repository activity
Per-check LLM notes
  • Network: The observed network call pattern suggests the package may be sending data to an external URL, which could be for legitimate purposes like logging or reporting, but warrants further investigation to confirm its intent.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository's recent activity pattern and lack of maintainer history suggest potential risks.

📦 Package Quality Overall: Low (4.6/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

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

Some documentation present

  • Detailed PyPI description (5390 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

  • 28 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 6 commits in Mide69/aws-cost-cli
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • : blocks}).encode() req = urllib.request.Request( webhook_url, data=payload,
  • POST", ) try: urllib.request.urlopen(req, timeout=10) except urllib.error.HTTPError a
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 5.0

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • All 6 commits happened within 24 hours
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author name is missing or very short
  • Author "" 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 aws-cost-cli 
Create a financial dashboard application named 'CostMonitor' using Python, which leverages the 'aws-cost-cli' package to provide insightful analysis of AWS spending. This application will serve as a tool for AWS users to monitor their cloud expenses in real-time and set up alerts for unexpected increases in costs. Here’s a step-by-step guide on how to develop this application:

1. **Setup Environment**: Ensure Python is installed on your system. Use pip to install the 'aws-cost-cli' package.
2. **Authentication**: Integrate AWS credentials management to securely connect to the AWS Cost Explorer API.
3. **Data Retrieval**: Utilize 'aws-cost-cli' commands to fetch cost data from AWS. This includes daily, weekly, monthly, and yearly spending summaries.
4. **Visualization**: Implement a simple graphical user interface (GUI) using a library like Tkinter or PyQt. Display the fetched data in charts and graphs for better understanding.
5. **Alert System**: Develop a feature that allows users to set thresholds for cost limits. If the spending exceeds these limits, the application should send notifications via email or SMS.
6. **Historical Analysis**: Provide a way to compare current spending trends with historical data, highlighting any significant changes over time.
7. **Custom Reports**: Allow users to generate custom reports based on specific criteria such as services, regions, or cost categories.
8. **User Interface Enhancements**: Make the GUI user-friendly with clear navigation, tooltips, and interactive elements.
9. **Testing and Validation**: Thoroughly test the application to ensure all features work correctly and securely.
10. **Documentation**: Create comprehensive documentation detailing how to install, configure, and use the 'CostMonitor' application.

By following these steps, you will create a powerful yet easy-to-use tool for managing AWS costs efficiently.

💬 Discussion Feed

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