🤖 AI Analysis

Final verdict: SAFE

The package shows low risks in terms of obfuscation and credential harvesting. While there is some concern regarding metadata, it does not strongly indicate malicious intent without further evidence.

No obfuscation or credential harvesting detected
Low activity and details might indicate low quality but not necessarily malicious

Per-check LLM notes

Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Low activity and lack of detail suggest potential low quality or malicious intent, but insufficient evidence for strong conclusion.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

e True: request = urllib.request.Request(url, data=payload, headers=dict(headers), method=met
try: with urllib.request.urlopen(request, timeout=self.instance.timeout) as response:
e("utf-8") request = urllib.request.Request(self._build_url(path), data=payload, headers=dict(he
try: with urllib.request.urlopen(request, timeout=self.instance.timeout) as response:

✓ 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: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Sonoran Software" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with Sonoran.py

Develop a comprehensive mini-application named 'CadTracker' that integrates with Sonoran CAD and CMS systems using the Sonoran.py package. This application will serve as a bridge between emergency services personnel and their dispatch system, enabling real-time tracking and management of calls, incidents, and resources. Here are the steps and features you need to implement:

1. **Setup**: Begin by installing Sonoran.py via pip. Ensure your development environment is set up to handle web requests and data handling efficiently.
2. **Authentication**: Implement user authentication that allows users to log into CadTracker using their Sonoran CAD credentials. Use OAuth2 protocol for secure authentication.
3. **Incident Management**: Create a feature where users can view, create, update, and delete incidents in real-time. Each incident should include details such as location, type, status, and assigned units.
4. **Resource Tracking**: Enable tracking of available and dispatched resources like ambulances, fire trucks, and police cars. Users should be able to see the current status of each resource (idle, en route, on scene).
5. **Notifications**: Implement push notifications for critical updates and changes in incident statuses. Notifications should be customizable based on user preferences and roles.
6. **Reporting**: Develop a reporting module that generates various types of reports such as incident logs, resource utilization statistics, and more. These reports should be exportable in PDF and CSV formats.
7. **User Roles and Permissions**: Design different user roles (e.g., dispatcher, field officer, admin) with varying levels of access and permissions to ensure data security and integrity.
8. **Integration Testing**: Test all functionalities thoroughly with actual Sonoran CAD/CMS data to ensure seamless integration and reliability.

Throughout the development process, utilize Sonoran.py's SDK features effectively to interact with the Sonoran CAD/CMS API, manage data, and authenticate users securely. Your goal is to create a robust, user-friendly tool that enhances the efficiency and effectiveness of emergency service operations.