aonyx

v0.2.4 suspicious
4.0
Medium Risk

(No description)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network, shell, and obfuscation activities, but it lacks important metadata like author details and has a new maintainer. These factors raise some concerns, though not enough to classify it as outright malicious.

  • Missing author details
  • New maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external communication for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or unauthorized system access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some red flags such as missing author details and a new maintainer, but no concrete evidence of malicious intent or typosquatting is present.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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

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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • 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 aonyx 
Create a Python-based mini-application named 'ShadowWatcher' using the 'aonyx' package. ShadowWatcher will be a utility designed to monitor and manage file system changes in real-time. It should alert users when files or directories are created, modified, or deleted within specified paths. Here’s a step-by-step guide on how to develop this application:

1. **Setup Environment**: Begin by setting up your Python environment. Ensure you have the latest version of Python installed. Use pip to install the 'aonyx' package.
2. **Project Structure**: Organize your project into modules such as `watcher`, `notifier`, and `config`. The `watcher` module will handle the monitoring logic, `notifier` will send alerts, and `config` will store configuration settings like watched directories and alert preferences.
3. **Monitoring Logic**: Utilize 'aonyx' to implement real-time file system monitoring. This includes setting up listeners for file creation, modification, and deletion events. Ensure your implementation is efficient and does not consume excessive resources.
4. **Alert System**: Develop a notifier that sends alerts via email or a notification service when an event occurs. Consider integrating with popular services like Slack or Discord for real-time notifications.
5. **Configuration Management**: Implement a simple command-line interface (CLI) for users to configure which directories they want to watch and how they prefer to receive alerts.
6. **Testing and Documentation**: Thoroughly test your application under various scenarios, including edge cases. Write clear documentation detailing installation, configuration, and usage instructions.

Suggested Features:
- Support for multiple watched directories.
- Customizable alert thresholds (e.g., only notify after X number of modifications).
- Quiet mode where alerts are suppressed during certain hours.
- Logging of all events to a local file for review.

How 'aonyx' is Utilized:
- Leverage 'aonyx' for its robust file system change detection capabilities, ensuring accurate and timely notifications.
- Use 'aonyx' to minimize false positives and negatives, enhancing the reliability of your application.

💬 Discussion Feed

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