audiofile

v1.6.1 suspicious
4.0
Medium Risk

Fast reading of all kind of audio files

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential risk due to shell command execution and an unreliable maintainer account, though there are no direct indications of malicious intent.

  • Shell risk detected
  • Unreliable maintainer metadata
Per-check LLM notes
  • Network: No network calls detected, which is normal and not suspicious.
  • Shell: Shell command execution may be used for legitimate purposes but requires careful review to ensure it's not being exploited for unauthorized actions.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
  • Metadata: The maintainer has a new or inactive account with limited package history and missing author details, indicating potential unreliability.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: conftest.py
  • 1 test file(s) detected (e.g. test_audiofile.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "documentation" -> https://audeering.github.io/audiofile/
  • 8 documentation file(s) (e.g. benchmark_info.py)
  • Detailed PyPI description (2208 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

  • 14 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in audeering/audiofile
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • vided as string.""" out = subprocess.check_output(shell_command, stderr=subprocess.STDOUT) try: re
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: audeering.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository audeering/audiofile 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 audiofile 
Develop a Python-based audio analysis tool named 'AudioExplorer' that leverages the 'audiofile' package to efficiently read various types of audio files. This tool should allow users to explore and analyze their audio files through a simple command-line interface. The application should include the following core functionalities:

1. **File Input**: Users should be able to input the path to their audio file, and the tool should validate if it's a supported format.
2. **Basic Information Extraction**: Display basic information about the audio file such as duration, sample rate, bit depth, and channels.
3. **Audio Visualization**: Implement a feature to visualize the waveform of the audio file using matplotlib.
4. **Segmentation**: Allow users to specify time intervals to extract segments from the audio file.
5. **Export Segments**: Provide functionality to save extracted segments into new audio files.
6. **Metadata Editing**: Include options to view and edit metadata of the audio file.
7. **Playback**: Add a feature to play back the audio file directly within the tool.

For each feature, detail how you will utilize the 'audiofile' package to achieve the desired outcome. For instance, use 'audiofile.read()' to load audio data efficiently, and 'audiofile.info()' to retrieve metadata.

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