alyx-registrator

v0.0.8 suspicious
6.0
Medium Risk

Utilitaries to easily register files to an alyx-database/ONE environment.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits signs of obfuscation through the use of nested eval functions, which is concerning and may indicate an attempt to hide malicious behavior. Additionally, the low maintainer activity and poor metadata quality add to the suspicion.

  • High obfuscation risk due to nested eval functions
  • 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 communications.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: The use of nested eval functions suggests an attempt to obscure code logic, which is suspicious and may indicate malicious intent.
  • Credentials: No direct evidence of credential harvesting was found.
  • Metadata: The package shows low maintainer activity and poor metadata quality, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (5274 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ 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 score 2.0

Found 1 obfuscation pattern(s)

  • try: return eval(eval_string) # this occurs when there is most li
✓ 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: pasteur.com>

✓ 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 alyx-registrator 
Your task is to create a small but powerful utility app named 'NeuroDataRegistrar' using the Python package 'alyx-registrator'. This app will serve as a bridge between local file systems and remote alyx-database environments, making it easier for neuroscientists and researchers to manage their data. The app should facilitate the registration of various types of neuroscience data files (such as behavioral logs, imaging data, etc.) into an alyx-database or ONE environment seamlessly.

Key Features:
1. **User-friendly Interface**: Develop a simple command-line interface (CLI) for easy interaction. Users should be able to specify the path to the data files and the destination database they wish to upload to.
2. **Batch Upload Support**: Implement functionality to support batch uploads of multiple files at once, reducing the need for repetitive manual inputs.
3. **Data Validation**: Before uploading, validate the integrity of the data files. Ensure that each file meets the necessary criteria for being uploaded to the database (e.g., correct file format, metadata completeness).
4. **Progress Tracking**: Provide real-time progress updates during the upload process, indicating the status of each file (e.g., queued, processing, uploaded).
5. **Error Handling**: Implement robust error handling to manage issues such as network failures, incorrect file formats, or database connectivity problems. Ensure users receive clear and actionable feedback when errors occur.
6. **Custom Metadata Entry**: Allow users to enter custom metadata for each file if needed, enhancing the flexibility of the data management process.

How 'alyx-registrator' is Utilized:
- Use 'alyx-registrator' to handle the registration process, leveraging its utilities for easy integration with alyx-databases or ONE environments. Specifically, utilize its functions for connecting to databases, validating data, and performing the actual registration of files.
- Integrate 'alyx-registrator' functions within your CLI tool to streamline the registration process, ensuring that all operations are performed efficiently and securely.

Your goal is to create a fully-functional, user-friendly utility that simplifies the process of managing neuroscience data through seamless integration with alyx-databases. This project will not only showcase the power of 'alyx-registrator' but also provide a valuable tool for researchers working in neuroscience.

💬 Discussion Feed

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