HDpip

v0.0.4 suspicious
7.0
High Risk

寒冬pip(HDpip)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package HDpip exhibits potential typosquatting behavior targeting 'pip', and has a concerning maintainer history. Despite having no direct malicious activities like network calls or shell execution risks, these metadata issues elevate its overall risk level.

  • Potential typosquatting
  • Suspicious maintainer history
Per-check LLM notes
  • Network: No network calls detected.
  • Shell: The shell execution patterns are likely intended to open files with the default application based on the OS, which is not inherently malicious but can be risky if command inputs are not sanitized.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of typosquatting and has a suspicious maintainer history.
  • ⚠ Typosquatting target: pip

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • h.is_file(): os.system(f"explorer /select, \"{path}\"") else:
  • stem == "Linux": os.system(f"xdg-open \"{path}\"") elif system == "Darwin":
  • tem == "Darwin": os.system(f"open \"{path}\"") else: raise NotImp
  • if realtime: popen = subprocess.Popen( command, stdout = subprocess.PIPE
  • ) else: popen = subprocess.Popen( command, stdout = subprocess.PIPE
  • result = None subprocess.Popen( [sys.executable, str(base_dir / "gui/error
✓ Credential Harvesting

No credential harvesting patterns detected

⚠ Typosquatting score 3.0

Possible typosquat of: pip

  • "HDpip" is 2 edit(s) from "pip"
⚠ Registered Email Domain score 3.0

Suspicious email domain flags: Very short email domain: qq.com

  • Very short email domain: qq.com
✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "寒冬利刃(handongliren(hdlr))" 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 HDpip 
Create a fully-functional mini-app called 'WinterTechHelper' using the Python package 'HDpip'. This app will serve as a winter weather tool designed to help users manage their daily routines more efficiently during cold seasons. The core functionality of the app will include weather forecasting, heating system management, and energy consumption tracking. Here’s a detailed breakdown of the steps and features you should implement:

1. **Setup and Initialization**: Begin by setting up your development environment. Install HDpip via pip and import it into your project. Ensure you have all necessary dependencies installed.

2. **Weather Forecasting Module**: Integrate HDpip's weather forecasting capabilities to provide users with accurate local weather updates. Users should be able to input their location, and the app will display temperature forecasts, precipitation chances, and wind conditions for the upcoming week.

3. **Heating System Management**: Implement a feature where users can connect their smart home heating systems (via API calls) to adjust settings based on forecasted weather conditions. For instance, if the forecast predicts a drop in temperature, the app should suggest preheating the home before users arrive.

4. **Energy Consumption Tracking**: Use HDpip to track and analyze energy usage patterns over time. Display graphs and charts showing how much energy is being consumed by heating versus other household appliances. Provide tips for reducing energy consumption based on current weather conditions.

5. **User Interface Design**: Develop a user-friendly interface using a web framework like Flask or Django. Ensure the design is intuitive and accessible, with clear instructions on how to use each feature.

6. **Testing and Deployment**: Thoroughly test all features to ensure they work correctly and efficiently. Once testing is complete, deploy the app to a hosting service like Heroku or AWS so that it can be accessed online.

In this project, HDpip plays a crucial role in handling data processing and analysis tasks related to weather information and energy usage. It simplifies complex calculations and provides reliable insights, making it easier for developers to focus on building out the rest of the app's functionalities.