🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network, shell execution, obfuscation, and credential harvesting, but the metadata risk due to low maintainer activity raises concerns about its reliability and potential for supply-chain attacks.

Low maintainer activity and effort as indicated by metadata risk.
No immediate signs of malicious activities such as network calls, shell execution, or obfuscation.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external services.
Shell: No shell execution detected, reducing the likelihood of executing arbitrary commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low maintainer activity and effort, which may indicate potential risk.

🔬 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: 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 "AdamKatani" 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 afri-auth-sms

Create a fully-functional mini-application using the 'afri-auth-sms' package which provides OTP (One-Time Password) authentication for African telecom providers. Your task is to develop a simple user registration and login system where users can sign up with their phone numbers and receive an OTP via SMS for verification. Here’s a detailed breakdown of the project steps and features:

1. **Project Setup**: Start by setting up your Python environment. Ensure you have Python installed and create a virtual environment for your project.
2. **Install Dependencies**: Install 'afri-auth-sms' along with other necessary packages such as Flask for the web framework, and any additional libraries needed for database management.
3. **Database Configuration**: Set up a local SQLite database to store user information including phone numbers and timestamps for OTP requests.
4. **User Registration**: Implement a registration endpoint where users can input their phone numbers. Use 'afri-auth-sms' to send an OTP to the entered number.
5. **OTP Verification**: Create a verification endpoint where users can enter the received OTP. Validate the OTP against the one sent to ensure it matches.
6. **Login System**: Once verified, allow users to log in using their phone numbers and verified OTPs. Store session information or generate tokens for authenticated access.
7. **Security Measures**: Implement basic security measures such as rate limiting on OTP requests and ensuring secure handling of user data.
8. **User Interface**: Develop a simple HTML/CSS front-end interface for user interaction. Use Bootstrap or similar frameworks for responsive design.
9. **Testing**: Thoroughly test the application, including edge cases like invalid inputs, repeated attempts, and OTP expiration.
10. **Documentation**: Write comprehensive documentation detailing setup instructions, API endpoints, and usage guidelines.

This project aims to showcase the integration and functionality of 'afri-auth-sms' in a real-world application scenario, focusing on ease of use, security, and reliability.