🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high obfuscation risk and moderate network risk, indicating potential malicious intent. However, there are no clear signs of credential theft or shell execution, reducing immediate threat levels.

High obfuscation risk due to code obfuscation techniques
Moderate network risk due to external URL interactions

Per-check LLM notes

Network: The package makes external network calls to various URLs which may be unexpected and could indicate data exfiltration or interaction with unauthorized services.
Shell: No shell execution patterns were detected.
Obfuscation: The usage of __import__ and custom unwrapping suggests an attempt to obfuscate the code, which is suspicious and could be used for malicious purposes.
Credentials: No clear patterns indicative of credential harvesting were found.
Metadata: The maintainer has only one package, which could indicate a new or less active account, but no other red flags are present.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

oups.groups): r = requests.get(f"{baseurl}/groups/{g}").json() tids += r["type_
n tqdm(tids): r = requests.get(f"{baseurl}/types/{t}").json() if "Compressed "
lid_janice_api_key(): c = requests.get( "https://janice.e-351.com/api/rest/v2/markets",
OD == "Fuzzwork": r = requests.get( "https://market.fuzzwork.co.uk/aggregates/",
THOD == "Janice": r = requests.post( "https://janice.e-351.com/api/rest/v2/pricer?ma

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

.assertEqual( __import__("inspect").unwrap(views.launcher)(request).status_code, 200
.assertEqual( __import__("inspect") .unwrap(views.summary_month_json)(summary_r

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Arc Tiru" 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 aa-miningtaxes

Create a comprehensive mining tax tracker application using the 'aa-miningtaxes' Python package. This application will serve as a tool for miners to efficiently track their earnings, apply appropriate taxes, and generate detailed reports. Here’s a step-by-step guide on how to build this application:

1. **Setup**: Begin by installing the 'aa-miningtaxes' package along with any other necessary dependencies such as Flask for web development.
2. **Database Configuration**: Configure a database to store user information, mining activities, and tax records. Use SQLAlchemy for ORM capabilities.
3. **User Authentication**: Implement user authentication using Flask-Security or similar libraries to ensure secure access to personal data.
4. **Mining Activity Tracker**: Develop a feature within the application where users can log their mining activities including the type of resources mined, quantity, and time spent mining.
5. **Tax Calculation Engine**: Utilize the 'aa-miningtaxes' package to automatically calculate taxes based on the logged mining activities. Ensure the tax rates are up-to-date and customizable.
6. **Report Generation**: Create a module that generates detailed reports for each user. These reports should include total earnings, taxes applied, net income, and any other relevant financial metrics.
7. **Notifications**: Implement a notification system to alert users about upcoming tax deadlines or if they need to report additional income.
8. **Dashboard**: Design a user-friendly dashboard that provides an overview of all mining activities, taxes paid, and net earnings.
9. **Testing and Deployment**: Thoroughly test the application for bugs and performance issues. Once ready, deploy it using Docker or another preferred method.

Suggested Features:
- Real-time updates for tax rates and regulations.
- Integration with popular cryptocurrency wallets for automatic tax calculation.
- Multi-language support for a global audience.
- Mobile responsiveness for easy access from smartphones.

The 'aa-miningtaxes' package plays a crucial role in automating the tax calculation process, ensuring accuracy and compliance with mining tax laws. By leveraging this package, your application will provide a valuable service to miners, helping them manage their finances more effectively.