aubellhop

v0.2.1 suspicious
4.0
Medium Risk

Bellhop underwater acoustic propagation model

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows potential for performing system-level tasks, which while possibly legitimate, raises concerns about its intended use. Additionally, incomplete metadata from the author adds to the suspicion.

  • Shell risk due to possible system-level task execution
  • Incomplete author metadata
Per-check LLM notes
  • Network: No network calls detected.
  • Shell: Shell execution patterns suggest package may be performing system-level tasks, which could be legitimate but also warrant further investigation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete and they may have a new or inactive account, but no clear signs of malicious intent or typosquatting are present.

📦 Package Quality Overall: Medium (6.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. test_99_toolbox.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://avc-adelaide.github.io/aubellhop/
  • Detailed PyPI description (4715 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 134 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in avc-adelaide/aubellhop
  • 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 10.0

Found 6 shell execution pattern(s)

  • try: check = subprocess.run( ["spctl", "--assess", "--verbose=4", ex
  • sign...") subprocess.run(["codesign", "--force", "--sign", "-", exe_path], check=True
  • oin(runcmd)) result = subprocess.run(runcmd, stderr=subprocess.STDOUT, stdout=subprocess.PIPE, te
  • h}") try: subprocess.check_call(["make", "clean"], cwd=root_dir, env=build_env)
  • r, env=build_env) subprocess.check_call(["make"], cwd=root_dir, env=build_env) subproces
  • r, env=build_env) subprocess.check_call(["make", "install"], cwd=root_dir, env=build_env) ex
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://oalib.hlsresearch.com/AcousticsToolbox/
  • Non-HTTPS external link: http://www.gnu.org/licenses/
✓ Git Repository History

Repository avc-adelaide/aubellhop appears legitimate

⚠ 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 aubellhop 
Create a mini-application named 'UnderwaterEchoSimulator' using Python and the 'aubellhop' package. This application will simulate underwater sound propagation between two points in an ocean environment. It will allow users to input parameters such as source location, receiver location, water depth, temperature profile, and salinity profile to calculate and visualize the acoustic pressure field over time.

### Key Features:
1. **User Input Interface:** Develop a simple command-line interface (CLI) or graphical user interface (GUI) where users can enter the necessary parameters for the simulation.
2. **Simulation Engine:** Utilize the 'aubellhop' package to perform the actual acoustic propagation modeling based on the provided parameters. Ensure the engine supports real-time updates and can handle different environmental conditions.
3. **Visualization Tool:** Implement a feature to visualize the results of the simulation. This could include 2D and 3D plots showing the acoustic pressure distribution over time and space.
4. **Save and Load Scenarios:** Allow users to save their simulation scenarios and load them later for further analysis or modification.
5. **Documentation and Help:** Provide comprehensive documentation and a help section within the application to guide users through its functionalities and usage.

### Steps to Build the Application:
1. **Setup Environment:** Install Python and necessary packages including 'aubellhop', matplotlib for visualization, and tkinter or PyQt for GUI development if chosen.
2. **Design User Interface:** Design the CLI/GUI layout focusing on ease of use and clarity of information display.
3. **Implement Simulation Logic:** Integrate 'aubellhop' into your application code. Use its functions to process user inputs and generate the acoustic propagation model.
4. **Develop Visualization Module:** Create modules that can interpret the output from 'aubellhop' and plot it using matplotlib or any other suitable library.
5. **Add Saving/Loading Functionality:** Implement file handling capabilities to save and load scenario configurations.
6. **Testing and Debugging:** Test the application thoroughly under various conditions and debug any issues found during testing.
7. **Final Documentation:** Write detailed documentation covering setup instructions, usage examples, and troubleshooting tips.

By following these steps and incorporating all mentioned features, you'll create a powerful yet accessible tool for anyone interested in understanding underwater acoustics.

💬 Discussion Feed

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