any2trace

v0.0.1 suspicious
6.0
Medium Risk

Reserved package

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious activity such as network calls or shell executions. However, its metadata and lack of development context raise concerns about potential supply-chain risks.

  • Limited maintainer history
  • No associated GitHub repository
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
  • Shell: No shell executions detected, indicating there's no direct system command execution risk.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating secure handling of secrets and credentials.
  • Metadata: The package is new with limited maintainer history and no associated GitHub repository, raising some suspicion but not conclusive evidence of malice.

📦 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

  • Only one version has ever been released — brand new package
  • Author "secemp9" 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 any2trace 
Create a real-time logging and tracing utility called 'TraceLogger' using the Python package 'any2trace'. This utility will serve as a versatile tool for developers to monitor and trace the execution flow of their applications in real time. The goal is to provide insights into how different parts of an application interact and perform under various conditions, which is crucial for debugging and performance optimization.

Step 1: Set up your development environment by installing Python and the 'any2trace' package. Ensure you have a basic understanding of Python programming and familiarity with setting up virtual environments.

Step 2: Define the core functionalities of 'TraceLogger'. It should allow users to:
- Start, stop, and manage multiple traces.
- Log messages at different levels (e.g., DEBUG, INFO, WARNING, ERROR).
- Attach custom metadata to logs for context.
- Support different output formats (e.g., console, file, HTTP endpoint).
- Provide a simple API for integrating with existing applications.

Step 3: Utilize 'any2trace' to implement the following features:
- Trace creation and management: Use 'any2trace' to start new traces and manage their lifecycle.
- Logging: Implement logging functionality using 'any2trace', ensuring it supports different log levels and allows attaching metadata.
- Output flexibility: Enable users to choose where their logs and traces are sent (console, file, HTTP endpoint) using 'any2trace' capabilities.
- Integration: Design a simple and flexible API that makes it easy for other applications to integrate 'TraceLogger' for logging and tracing purposes.

Step 4: Develop a user-friendly command-line interface (CLI) for 'TraceLogger'. The CLI should allow users to easily configure logging settings, start and stop traces, and view logs.

Step 5: Test 'TraceLogger' thoroughly to ensure all features work as expected. Include unit tests and integration tests to cover different scenarios.

Step 6: Document 'TraceLogger' comprehensively, including installation instructions, usage examples, and API documentation. Make sure the documentation is clear and accessible to both beginners and experienced developers.

Step 7: Share 'TraceLogger' on GitHub or another code-sharing platform, encouraging contributions from the community. Consider adding a demo application that showcases 'TraceLogger' in action.

By completing this project, you'll gain valuable experience with real-time logging and tracing tools, understand the importance of observability in software development, and contribute to the community with a useful open-source tool.

💬 Discussion Feed

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