azerai-plugins-search

v5.0.0 suspicious
5.0
Medium Risk

**AzerAI Search Plugin** - İnternet Axtarış Plugin

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate risk due to potential obfuscation techniques and low repository activity with a single contributor. While there are no immediate signs of malicious behavior, the combination of these factors warrants further investigation.

  • Potential obfuscation through dynamic imports
  • Low repository activity and single contributor
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: The use of __import__ to dynamically import asyncio suggests some level of obfuscation, but it is not uncommon in certain coding practices and does not necessarily indicate malicious intent.
  • Credentials: No clear patterns indicative of credential harvesting have been detected.
  • Metadata: The repository's low activity and single contributor suggest potential risks.

📦 Package Quality Overall: Low (3.4/10)

○ 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 (2115 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

  • 3 type-annotated function signatures (partial)
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 1 commits in AzerStudio-Dev/AzerAI-Plugins-Search
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • self.loop_ref = __import__('asyncio').get_running_loop() search_id = f"s
  • __import__('asyncio').run_coroutine_threadsafe(
  • future = __import__('asyncio').run_coroutine_threadsafe(
✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 7.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Very few commits: 1 total
  • Single contributor with only 1 commit(s) — possibly throwaway account
⚠ Maintainer History score 6.0

3 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)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with azerai-plugins-search 
Your task is to develop a comprehensive internet search utility named 'WebSeeker' using the Python package 'azerai-plugins-search'. This utility aims to simplify and enhance the process of conducting web searches by integrating advanced search functionalities provided by the 'azerai-plugins-search' package. Here’s a detailed plan on how to approach this project:

1. **Project Overview**: WebSeeker will be a command-line interface (CLI) tool that allows users to perform internet searches through various engines and filters the results based on relevance, date, and other parameters.
2. **Features**:
   - **Multi-Engine Support**: Integrate support for multiple search engines such as Google, Bing, Yahoo, etc., allowing users to choose their preferred engine.
   - **Advanced Filtering Options**: Implement options to filter search results by date, file type, language, and more.
   - **Customizable Output Formats**: Provide options for users to export search results in different formats like JSON, CSV, or plain text.
   - **User-Friendly Interface**: Ensure the CLI is user-friendly, providing clear instructions and error messages.
3. **Utilizing 'azerai-plugins-search'**:
   - **Core Functionality**: Use 'azerai-plugins-search' to handle the core search operations, leveraging its built-in capabilities for searching and filtering content from the web.
   - **Integration**: Integrate 'azerai-plugins-search' into your project to manage the communication between the CLI and the search engines.
4. **Implementation Steps**:
   - Step 1: Set up your development environment with Python and install the 'azerai-plugins-search' package.
   - Step 2: Design the structure of your CLI tool, including commands for initiating searches, specifying engines, applying filters, and exporting results.
   - Step 3: Implement the core search functionality using 'azerai-plugins-search', ensuring it supports multiple engines and advanced filtering.
   - Step 4: Add support for customizable output formats, allowing users to choose how they want their search results presented.
   - Step 5: Test your application thoroughly to ensure all features work as expected, and refine the user interface for better usability.
5. **Testing and Deployment**:
   - Thoroughly test your application with various search queries and configurations to ensure reliability.
   - Deploy your CLI tool as a standalone executable or make it available via pip for easy installation by other developers.
By following these steps, you will create a powerful and flexible internet search utility that leverages the capabilities of 'azerai-plugins-search' to provide users with a rich and customizable search experience.

💬 Discussion Feed

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