ani-scrapy

v0.7.0 suspicious
5.0
Medium Risk

Async-first Python library for scraping anime websites. Supports some anime websites with unified interface, detailed metadata, and download links from multiple servers.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package poses a moderate risk due to its potential for executing shell commands without proper sanitization, which could lead to unintended behavior or misuse.

  • High shell execution risk
  • Sparse author metadata
Per-check LLM notes
  • Network: Network calls using aiohttp are common in web scraping packages and may be expected for 'ani-scrapy'.
  • Shell: Executing shell commands can pose risks if not properly sanitized or intended for legitimate purposes, suggesting potential for misuse or unintended behavior.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is sparse and the account seems new or inactive, raising some concerns but not definitive signs of malice.

📦 Package Quality Overall: Low (3.8/10)

○ 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 (9692 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

  • 83 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 71 commits in ElPitagoras14/ani-scrapy
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • sites.""" async with aiohttp.ClientSession( timeout=aiohttp.ClientTimeout(total=self.timeou
  • } self._session = aiohttp.ClientSession(timeout=timeout, headers=headers) return self._sessi
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • ws": output = subprocess.check_output( [ "powershell",
  • in": output = subprocess.check_output( ["sysctl", "-n", "hw.memsize"], text=Tr
  • ux": output = subprocess.check_output(["free", "-m"], text=True) lines = output.sp
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: espol.edu.ec>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ElPitagoras14/ani-scrapy 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 ani-scrapy 
Create a command-line application called 'AnimeScraper' using the Python package 'ani-scrapy'. This application will allow users to search for anime on various supported anime websites and retrieve detailed information about the anime series, including titles, episode counts, genres, ratings, and download links. Additionally, the application should support the following features:

1. User Input: Allow users to input the name of the anime they are searching for.
2. Search Functionality: Use 'ani-scrapy' to perform searches across supported anime websites and return matching results.
3. Detailed Information: Display detailed information about each anime result, such as title, number of episodes, genres, rating, synopsis, and download links from multiple servers.
4. Filtering Options: Implement filtering options so users can narrow down their search based on specific criteria like genre, year of release, or rating.
5. Output Format: Provide the option for users to choose between different output formats (e.g., plain text, JSON).
6. Error Handling: Ensure robust error handling to gracefully manage issues such as invalid inputs or unavailable data.
7. User Interface: Design a clean and intuitive command-line interface for easy navigation and interaction.
8. Documentation: Include comprehensive documentation detailing how to install and use the application, along with examples.

Utilize the 'ani-scrapy' package to scrape data efficiently and asynchronously, leveraging its unified interface for a seamless user experience. Ensure that the application adheres to ethical scraping practices and respects website terms of service.

💬 Discussion Feed

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