aurora-biologic

v0.2.6 suspicious
6.0
Medium Risk

Python API for Biologic EC-lab potentiostats

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high network and shell execution risks, suggesting it may engage in unauthorized external communications and command executions. These behaviors are concerning but lack definitive proof of malicious intent.

  • High network risk (7/10)
  • High shell risk (8/10)
  • Incomplete maintainer information
Per-check LLM notes
  • Network: The network call patterns suggest potential unauthorized external communication which is unexpected for a benign package.
  • Shell: The shell execution patterns indicate the package may execute commands on the system, which could be used for malicious purposes if not properly controlled.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has no associated GitHub repository and the maintainer information is incomplete, raising suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

  • Test runner config found: pyproject.toml
  • Test runner config found: conftest.py
  • 8 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (5394 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

  • 80 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 3.0

Found 2 network call pattern(s)

  • """ try: with socket.create_connection((HOST, PORT), timeout=10) as sock: sock.sendall
  • s(OSError): with socket.create_connection(("127.0.0.1", PORT), timeout=0.5): return
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

  • ).name result = subprocess.run( [r"C:\Windows\System32\tasklist.exe", "/FI", f
  • LECOM"): subprocess.Popen([eclab_path]) logger.critical(
  • ommand) result = subprocess.run( command, check=False,
  • s the test mode result = subprocess.run( [r"C:\Windows\System32\tasklist.exe", "/FI", "IMAG
  • check=False, shell=True, capture_output=True, tex
✓ 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

  • 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 aurora-biologic 
Your task is to develop a user-friendly desktop application that allows scientists and researchers to remotely control and monitor experiments conducted using Biologic EC-lab potentiostats. This application will leverage the 'aurora-biologic' Python package to interact with these sophisticated electrochemical instruments. Here’s a detailed breakdown of the application requirements and features:

1. **User Interface**: Design a clean, intuitive graphical user interface (GUI) using a Python library such as PyQt or Tkinter. Ensure the GUI includes essential components like buttons, sliders, input fields, and graphs for displaying real-time data.

2. **Experiment Control**: Implement functionality to send commands to the potentiostat through the 'aurora-biologic' package. Users should be able to start, stop, pause, and resume experiments directly from the GUI.

3. **Data Visualization**: Integrate a live graph that updates in real-time as the experiment progresses. Use matplotlib or a similar plotting library to display voltage, current, and other relevant parameters over time.

4. **Configuration Settings**: Allow users to configure various settings such as voltage range, current limits, scan rates, and other parameters supported by the potentiostat. These settings should be saved and loaded easily for future use.

5. **Data Logging**: Implement a feature to log experimental data to a file (e.g., CSV or JSON). Users should have the option to choose the format and location for saving their data.

6. **Error Handling**: Include robust error handling mechanisms to manage potential issues like connection errors, command failures, and unexpected behavior from the potentiostat.

7. **Documentation**: Provide comprehensive documentation detailing how to install and use the application, including any prerequisites and setup instructions for the 'aurora-biologic' package.

The application should demonstrate proficiency in using the 'aurora-biologic' package to perform basic operations such as setting up an experiment, sending commands, and retrieving data. Additionally, it should showcase advanced features like real-time visualization and data logging. Your final submission should include the source code, a brief README file explaining the project structure and usage, and a video demonstration showcasing the application in action.

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