🤖 AI Analysis

Final verdict: SAFE

The package has low risks associated with network calls, obfuscation, and credential handling. The shell execution risk warrants caution, but there's no strong evidence of malicious intent. The incomplete metadata and new/inactive maintainer raise minor concerns but do not significantly increase the risk of a supply-chain attack.

Shell execution patterns require further investigation.
Incomplete maintainer metadata.

Per-check LLM notes

Network: No network calls were detected, which is low risk.
Shell: Shell execution patterns may indicate the package runs external commands, which could be benign but requires further investigation to ensure it's not executing arbitrary code.
Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
Metadata: The maintainer's author information is incomplete, and they appear to be new or inactive, which raises some concern but does not strongly indicate malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

_data}") result = subprocess.run( [executable, *args], input=
else: result = subprocess.run( [executable, *args], input=
try: r = subprocess.run(runCmd, check=True, capture_output=True) sel
] try: subprocess.run(runCmd, check=True, capture_output=True) except subp

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: manchester.ac.uk>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository FPGA-Research/FABulous 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 FABulous-FPGA

Create a fully-functional mini-application that leverages the FABulous-FPGA package to design and simulate a simple digital circuit on an FPGA board. This application will serve as a basic tool for educational purposes, allowing users to input a simple Boolean expression, generate the corresponding digital circuit design using FABulous-FPGA, and then simulate its behavior before potentially uploading it to an actual FPGA board. Here are the detailed steps and features of the application:

1. **User Interface Design**: Develop a user-friendly GUI where users can input their Boolean expressions or select from a set of predefined circuits (e.g., AND gate, OR gate, XOR gate).
2. **Expression Parsing**: Implement functionality to parse the input Boolean expressions into a format suitable for FABulous-FPGA.
3. **Circuit Generation**: Use FABulous-FPGA to automatically generate the digital circuit design based on the parsed Boolean expression.
4. **Simulation Module**: Integrate a simulation feature that allows users to visualize the operation of the generated circuit under different input conditions without needing physical hardware.
5. **Visualization Tools**: Provide graphical representations of the circuit design and simulation results to enhance understanding.
6. **Documentation and Help**: Include comprehensive documentation and a help section within the application to guide users through the process.
7. **Export Option**: Offer an option to export the designed circuit for further use or modification outside the application.
8. **Optional - Hardware Connection**: For advanced users, implement an optional feature to connect the application to a real FPGA board via USB or other supported interface, allowing them to upload and test their designs physically.

The application should demonstrate the power and ease of use of FABulous-FPGA in generating FPGA fabric designs, making it an excellent tool for beginners and educators alike.