aiofile

v3.11.1 suspicious
5.0
Medium Risk

Asynchronous file operations.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, and obfuscation activities, but the metadata risk is moderately high due to incomplete author information.

  • Metadata risk score of 4 out of 10 due to incomplete author information.
  • No significant risks detected in network, shell, or obfuscation activities.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account with incomplete author information, raising some suspicion.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

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

Some documentation present

  • Detailed PyPI description (13212 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 46 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 13 unique contributor(s) across 100 commits in mosquito/aiofile
  • Active community — 5 or more distinct contributors

🔬 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: mosquito.su>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository mosquito/aiofile appears legitimate

⚠ 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 aiofile 
Create a real-time log monitoring and analysis tool using Python's 'aiofile' package. This tool will continuously monitor a specified log file for new entries and process these entries asynchronously, ensuring minimal performance impact on the system where the logs are being generated. Your application should provide the following functionalities:

1. **Real-Time Monitoring**: The tool should start monitoring a specified log file as soon as it is launched. It should use asynchronous file operations provided by the 'aiofile' package to read from the log file without blocking other processes.
2. **Keyword Filtering**: Users should be able to specify keywords or patterns they are interested in. The tool will filter log entries based on these criteria and only process those that match.
3. **Error Detection**: Implement basic error detection by looking for common error messages or specific patterns that indicate issues. For example, if the log contains phrases like 'error', 'exception', or 'failed', the tool should flag these entries and possibly notify the user through email or logging them into a separate file.
4. **Statistics Generation**: After processing the log entries, generate statistics such as total number of errors, average log entry length, most frequent keywords, etc., and display these statistics in a user-friendly format.
5. **User Interface**: Provide a simple command-line interface (CLI) where users can interact with the tool, set filters, view statistics, and control the monitoring process.
6. **Configuration Management**: Allow users to save their settings and configurations (such as log file paths, keyword filters) to a configuration file so that they don't need to input them every time they run the tool.

Use the 'aiofile' package to handle all file-related operations asynchronously, which will allow your tool to efficiently monitor large log files without causing delays in the systems generating these logs. Additionally, consider how you might extend this tool to support multiple log files simultaneously or integrate it with existing logging frameworks.

💬 Discussion Feed

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