ai-sub

v2.9.1 suspicious
4.0
Medium Risk

AI-Powered Subtitle Generation with Translation

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows potential risks due to the use of shell commands and low-quality metadata, despite no direct evidence of malicious activity.

  • Shell risk (3/10)
  • Metadata risk (3/10)
Per-check LLM notes
  • Network: No network calls detected, which is normal and expected.
  • Shell: Execution of shell commands might be necessary for certain functionalities but requires careful review to ensure it's not being used maliciously.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's new/inactive account and lack of PyPI classifiers suggest low effort or poor metadata quality, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Low (3.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (8797 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

  • 62 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in FlippFuzz/ai-sub
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • # On Windows, shell=True is required to execute batch files/scripts (like npm binari
  • process_exec does not support shell=True directly. # We use create_subprocess_shell
✓ 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

Repository FlippFuzz/ai-sub appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "FlippFuzz" 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 ai-sub 
Create a mini-application called 'SubtitleMaster' using Python and the 'ai-sub' package, which specializes in AI-powered subtitle generation and translation. This application should allow users to upload video files and generate subtitles automatically, offering translations into multiple languages. Here’s a step-by-step guide on how to build it:

1. **Project Setup**: Start by setting up your Python environment. Install necessary packages including 'ai-sub', Flask for web framework, and ffmpeg for video processing.
2. **User Interface Design**: Develop a simple yet intuitive user interface where users can upload their video files. Ensure the UI supports file validation to ensure only video formats are accepted.
3. **Video Processing**: Integrate ffmpeg to handle video file conversion if needed, ensuring compatibility with 'ai-sub'.
4. **Subtitle Generation**: Utilize 'ai-sub' to process the uploaded video and generate subtitles. Customize the output format and style as per user preferences.
5. **Translation Feature**: Implement a feature within 'SubtitleMaster' that allows users to select from a list of supported languages for subtitle translation.
6. **Storage and Download**: Store generated subtitles in a database temporarily and provide functionality for users to download their subtitles in various formats (SRT, VTT).
7. **Error Handling and Feedback**: Ensure robust error handling and provide feedback to users in case of any issues during the processing phase.
8. **Testing and Deployment**: Thoroughly test the application for all functionalities before deploying it online.

Features:
- User-friendly interface for uploading videos.
- Automatic subtitle generation with AI.
- Multi-language support for subtitle translation.
- Option to customize subtitle styles.
- Secure storage and easy downloading of subtitles.
- Comprehensive error handling and user feedback system.

💬 Discussion Feed

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