AI Analysis
Final verdict: SUSPICIOUS
The package exhibits moderate risks due to potential code obfuscation and incomplete metadata, suggesting possible attempts to conceal its true purpose or origins.
- Potential code obfuscation to hide functionality
- Incomplete author information and new/inactive account
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 immediate signs of executing system commands.
- Obfuscation: The code pattern suggests potential obfuscation, possibly to hide the actual functionality of the code.
- Credentials: No clear patterns indicating credential harvesting were found.
- Metadata: The author information is incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
= file.read() data = zlib.decompress(data) for bits in batch_list(data,5): j
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
Repository JoshuaMukherjee/AcousTools appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 acoustools
Create a Python-based holographic acoustic imaging tool using the 'acoustools' package. This tool will enable users to visualize and analyze acoustic fields generated by different sources. Here’s a detailed plan for the project: 1. **Project Setup**: Begin by setting up your development environment. Ensure you have Python installed along with 'acoustools'. Use pip to install any other necessary dependencies. 2. **Core Functionality**: Implement core functionalities such as generating acoustic field data from various source configurations (e.g., point sources, plane waves). Utilize 'acoustools' to model these acoustic fields accurately. 3. **Visualization Module**: Develop a module to visualize the acoustic fields in real-time. Consider integrating libraries like Matplotlib or Plotly for dynamic visualization. Users should be able to see changes in the acoustic field as they adjust parameters like frequency or source position. 4. **Analysis Tools**: Incorporate analysis tools within the application to allow users to measure key properties of the acoustic fields, such as intensity levels at specific points, interference patterns, etc. 'acoustools' should provide functions that facilitate these analyses. 5. **User Interface**: Design a user-friendly interface where users can input parameters, view visualizations, and access analysis results. Consider using frameworks like PyQt or Tkinter for GUI development. 6. **Documentation & Testing**: Write comprehensive documentation for the tool and ensure all functionalities are thoroughly tested. Include examples and use cases to help new users understand how to utilize the tool effectively. **Suggested Features**: - Interactive parameter adjustment sliders for frequency, amplitude, and source location. - Save/export options for both visualizations and analysis data. - Multiple visualization modes (2D, 3D). - Real-time simulation playback controls. This project will not only serve as a practical application but also as a demonstration of the capabilities of 'acoustools' in handling complex acoustic field simulations.