apparser

v1.0.0 suspicious
4.0
Medium Risk

Apparser is a Python library designed for automating desktop applications and managing UI interfaces using artificial intelligence, such as OCR or object detection models.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is assessed as suspicious due to its lack of maintainer details and the presence of potential shell execution capabilities.

  • Metadata risk due to lack of maintainer information
  • Potential shell execution detected
Per-check LLM notes
  • Network: No network calls detected, thus minimal risk.
  • Shell: Detection of shell execution suggests potential for command injection, but requires further context to assess intent.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret or credential theft.
  • Metadata: The package is new and lacks maintainer details, raising suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Docs" -> https://apparser-development.github.io/apparser/
  • Detailed PyPI description (1835 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

  • 86 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in apparser-development/apparser
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • ()] self.__process = subprocess.Popen([self.__path]) time.sleep(self.__timeout)
✓ 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

Repository apparser-development/apparser appears legitimate

⚠ 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 apparser 
Your task is to create a simple yet powerful utility called 'ScreenAnalyzer' using the Python package 'apparser'. This utility aims to automate tasks within any desktop application by analyzing its UI elements and performing actions based on user-defined rules. Here’s a detailed breakdown of what your project should achieve:

1. **Setup**: Start by installing the necessary packages including 'apparser', 'opencv-python', and 'pytesseract' for image processing and OCR capabilities.
2. **UI Detection**: Utilize 'apparser' to detect UI elements like buttons, text fields, and menus in any given application window. Implement a feature that allows users to select a specific region of interest in the application window for analysis.
3. **OCR Integration**: Integrate OCR functionality to read text from detected UI elements. This will allow the tool to understand what text is present in buttons or labels, which is crucial for automation.
4. **Automation Rules**: Develop a rule engine where users can define actions based on detected UI elements and their states. For example, clicking a button when certain text appears, entering text into a field, etc.
5. **Logging & Feedback**: Implement logging for all actions performed and events observed. Additionally, provide real-time feedback to the user about the status of each action executed.
6. **User Interface**: Create a simple GUI for configuring the above settings and monitoring the execution. The interface should be intuitive and easy to use, allowing users to interact with their applications seamlessly through 'ScreenAnalyzer'.
7. **Testing & Validation**: Test the utility with various applications to ensure it works across different UI designs and layouts. Validate its accuracy and reliability under different conditions.

This project will demonstrate the power of 'apparser' in automating complex interactions within desktop applications, making it easier for users to perform repetitive tasks without manual intervention.

💬 Discussion Feed

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