AI Analysis
Final verdict: SUSPICIOUS
The package appears generally benign, but the incomplete maintainer profile and new account raise concerns about potential supply-chain risks.
- Incomplete maintainer profile
- New maintainer account
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API access.
- Shell: No shell execution patterns detected, indicating no immediate risk of executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The maintainer has an incomplete profile and a new account with only one package, which raises some suspicion but not enough to conclusively identify it as malicious.
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
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: rackslab.io>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository rackslab/RacksDB appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 RacksDB
Create a datacenter management tool using the Python package 'RacksDB'. This tool should allow users to model their data center infrastructure using YAML files, which RacksDB will parse and manage. Your task is to develop a command-line interface (CLI) application that enables administrators to perform various operations on their data center infrastructure, such as adding new racks, removing existing ones, updating rack configurations, listing all racks, and retrieving detailed information about a specific rack. Key Features: 1. User-friendly CLI with clear commands for each operation. 2. Ability to load and save infrastructure configurations from/to YAML files. 3. Detailed output when performing operations, including success messages and error handling. 4. Support for multiple data centers, allowing users to switch between different configurations. 5. Optional graphical representation of the data center layout based on the YAML configuration. Steps to Build the Application: 1. Install RacksDB and any additional dependencies required for the graphical representation. 2. Design the structure of your YAML files to represent racks, servers, and other components of a data center. 3. Implement functions to add, remove, and update racks within the data center. 4. Develop a function to display all racks in the current data center configuration. 5. Create a function to retrieve detailed information about a specific rack, including its location, capacity, and connected devices. 6. Add support for loading and saving YAML configurations, ensuring that changes made through the CLI are reflected in the YAML file. 7. Implement error handling for common issues like non-existent racks or incorrect input formats. 8. Optionally, integrate a library for generating a simple graphical representation of the data center layout based on the YAML configuration. 9. Test your application thoroughly with different scenarios to ensure it works as expected. 10. Document your code and provide usage instructions for the CLI application. By completing this project, you'll gain experience working with YAML databases, managing complex data structures, and building user-friendly command-line interfaces.