🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, obfuscation, and credential activities. However, the metadata risk score is elevated due to recent rapid commits and a single-package maintainer, which may indicate potential malicious intent.

Elevated metadata risk due to recent rapid commits
Maintainer has only one package, suggesting less established account

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communications.
Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The recent and rapid commits suggest potential malicious activity, along with the maintainer having a single package which could indicate a new or less established account.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ 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 score 2.5

Git history flags: All 8 commits happened within 24 hours

All 8 commits happened within 24 hours

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Tom Ford" 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 agent-can

Create a real-time vehicle diagnostics tool using the 'agent-can' Python package. This application will serve as a bridge between your computer and a vehicle's Controller Area Network (CAN) bus, allowing you to monitor various diagnostic parameters such as engine RPM, speed, fuel consumption, and more. The tool will also provide the ability to log these parameters over time for analysis and reporting purposes.

Steps to develop this application:
1. Set up the environment by installing necessary packages including 'agent-can'.
2. Connect to the CAN bus through a suitable interface (e.g., USB-to-CAN adapter).
3. Use 'agent-can' to create agents that listen to specific CAN messages related to vehicle diagnostics.
4. Implement a user-friendly GUI or CLI to display live data from the CAN bus.
5. Develop a logging mechanism to store the collected data for future reference.
6. Add functionality to analyze logged data, such as plotting graphs and generating reports.
7. Ensure the application is secure and robust, handling errors gracefully and providing clear feedback to the user.

Suggested Features:
- Real-time monitoring of key vehicle parameters.
- Historical data logging.
- Data visualization tools (graphs, charts).
- Customizable alerts based on predefined thresholds.
- Support for exporting logs to CSV or other formats.
- User authentication and role-based access controls.
- Comprehensive documentation and user guides.

How 'agent-can' is utilized:
- To manage communication with the CAN bus, leveraging its agent-based architecture for efficient message processing.
- For setting up and managing CAN sessions, ensuring reliable and continuous data flow.
- To parse and interpret CAN messages according to standard protocols (e.g., OBD-II), enabling easy integration with existing diagnostic tools.