audio-validation

v0.1.2 suspicious
4.0
Medium Risk

Tools for validating audio data, including feature extraction and visualization.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network calls, shell execution, obfuscation, and credential handling. However, its metadata is incomplete and lacks maintainer history, raising suspicion about potential supply-chain risks.

  • Incomplete metadata and lack of maintainer history
  • No concrete evidence of malice, but elevated metadata risk
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on local audio file validation.
  • Shell: No shell execution patterns detected, aligning with expectations for a benign utility package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package appears suspicious due to lack of maintainer history and incomplete metadata, but there's no concrete evidence of malice.

📦 Package Quality Overall: Low (4.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_template.py)
◈ Medium Documentation 7.0

Some documentation present

  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (2280 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 22 type-annotated function signatures detected in source
○ 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: int2code.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 8.0

4 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)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with audio-validation 
Create a Python-based audio validation tool named 'AudioInspector' that leverages the 'audio-validation' package to ensure the integrity and quality of audio files. This tool should be user-friendly and capable of handling various audio formats such as WAV, MP3, and FLAC. The main functionalities of AudioInspector include:

1. **File Format Validation**: Ensure that the audio file is in one of the supported formats.
2. **Bitrate and Sample Rate Check**: Validate the bitrate and sample rate against predefined thresholds.
3. **Duration Verification**: Confirm that the audio duration falls within specified limits.
4. **Feature Extraction**: Use 'audio-validation' to extract essential features like frequency spectrum, noise levels, and peak volume.
5. **Visualization**: Provide visual representations of the extracted features using matplotlib or similar libraries.
6. **Report Generation**: Automatically generate a detailed report summarizing the validation results and any issues found.

For each functionality, detail how 'audio-validation' will be integrated. For example, when extracting features, use 'audio-validation' to analyze the audio file and output relevant metrics. Additionally, consider adding a user interface component using PyQt or Tkinter for a more interactive experience.

💬 Discussion Feed

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