audiodetect

v0.0.1 suspicious
4.0
Medium Risk

Audio detection and analysis toolkit by Oravys Inc.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package audiodetect v0.0.1 is deemed suspicious due to the lack of maintainer history and absence of a GitHub repository, despite showing no signs of immediate malicious activity.

  • Lack of maintainer history
  • Absence of a GitHub repository
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function.
  • Shell: No shell execution patterns detected, indicating the package does not execute external commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The package is suspicious due to its lack of maintainer history and the absence of a GitHub repository.

📦 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

Email domain looks legitimate: oravys.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

  • Only one version has ever been released — brand new package
  • 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 audiodetect 
Create a Python-based mini-app named 'AudioInspector' that leverages the 'audiodetect' package from Oravys Inc. to provide users with a comprehensive audio analysis tool. This app should enable users to upload an audio file, analyze its content, and receive detailed insights about the audio properties. Here are the steps and features to include:

1. **User Interface**: Develop a simple yet effective command-line interface (CLI) or a basic GUI using Tkinter. The interface should allow users to select an audio file for analysis.
2. **File Upload**: Implement functionality to accept various common audio formats such as WAV, MP3, and FLAC.
3. **Audio Analysis**: Utilize 'audiodetect' to perform the following analyses on the uploaded audio file:
   - Detect the presence of speech vs. music.
   - Identify dominant frequencies and their strengths.
   - Calculate the signal-to-noise ratio (SNR).
4. **Visualization**: Generate visual representations of the analysis results. For example, display a graph showing frequency distribution and another for SNR over time.
5. **Report Generation**: Allow users to save the analysis results into a readable report format, like PDF or HTML.
6. **Advanced Features** (Optional): Consider adding features such as real-time analysis of live audio input, comparison between multiple audio files, or integration with cloud storage services for file upload and download.

The goal is to create a user-friendly tool that not only provides valuable insights into audio files but also demonstrates the capabilities of the 'audiodetect' package.

💬 Discussion Feed

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