asma

v0.1.0 suspicious
4.0
Medium Risk

Automated System for Mining Articles (asma)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of legitimacy but has several indicators that warrant further investigation, including network calls to external services and being newly created without additional metadata.

  • network risk due to external API calls
  • lack of associated GitHub repository
Per-check LLM notes
  • Network: The network call pattern suggests the package is making HTTP requests to an external service, which could be for legitimate purposes like API calls or updates.
  • Shell: No shell execution patterns detected, indicating a low risk of direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets.
  • Metadata: The package appears to be newly created with limited activity and no associated GitHub repository, which raises some suspicion but not enough to conclusively determine malintent.

📦 Package Quality Overall: Low (2.8/10)

○ 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 (2510 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

  • 26 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 score 1.5

Found 1 network call pattern(s)

  • ms}") response = requests.get(url, params=params) response.raise_for_status()
✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Aniket Sarkar" 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 asma 
Create a fully-functional mini-application named 'ArticleMiner' using the Python package 'asma', which stands for Automated System for Mining Articles. This application will serve as a tool for researchers and content creators to automatically extract and analyze relevant articles from various sources based on user-defined keywords or topics.

Step-by-Step Requirements:
1. User Interface: Design a simple, intuitive command-line interface (CLI) where users can input their search queries.
2. Keyword Search: Implement a feature that allows users to enter one or multiple keywords. The application should then use the 'asma' package to search for articles containing these keywords.
3. Article Filtering: Utilize 'asma' functionalities to filter out irrelevant articles based on metadata like publication date, source reliability, or article length.
4. Analysis Tool: Provide basic analysis tools within the application to summarize key points of each article or highlight important sentences.
5. Output Format: Allow users to choose between different output formats such as plain text, CSV, or JSON.
6. Logging & Error Handling: Ensure the application logs all actions performed and includes robust error handling to manage issues like network errors or invalid inputs gracefully.

Suggested Features:
- Integration with popular news APIs for real-time data fetching.
- Advanced filtering options allowing users to specify exact date ranges or specific sources.
- Support for multiple languages to cater to a global audience.
- User authentication to save search histories and preferences.
- Email notifications for new articles matching saved searches.

How 'asma' is Utilized:
- Use 'asma' to handle the core task of searching and mining articles efficiently. It will provide the necessary functions to scrape, filter, and analyze textual data from web sources.
- Leverage 'asma' documentation and examples to understand its API and methods for integrating it into the application workflow.

💬 Discussion Feed

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