AI Analysis
Final verdict: SUSPICIOUS
The package exhibits low risk in terms of network calls, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is elevated due to low repository activity and limited maintainer history, making it suspicious.
- Metadata risk is elevated due to low repository activity and limited maintainer history.
- No direct evidence of malicious activities, but the context raises concern.
Per-check LLM notes
- Network: No network calls detected, which is not necessarily suspicious for an authentication SDK but should be verified against the package's documentation and intended functionality.
- Shell: No shell execution patterns detected, indicating that the package does not appear to execute external commands, which aligns with typical behavior for an authentication SDK.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository has low activity and the maintainer has limited history, raising some suspicion.
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 name is missing or very shortAuthor "" 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 aegis-auth-sdk
Create a fully-functional mini-app called 'SecureLogin' that integrates the 'aegis-auth-sdk' Python package for secure user authentication. The app should allow users to register, login, and manage their sessions securely. Here are the steps and features you should implement: 1. **User Registration**: Users should be able to sign up with a unique username and password. Use the 'aegis-auth-sdk' package to hash passwords before storing them. 2. **Login Functionality**: Implement a login feature where users enter their credentials. The app should verify these credentials using the 'aegis-auth-sdk' package and generate a session token if successful. 3. **Session Management**: After a successful login, maintain a session for the user. This session should be active until the user logs out or after a certain period of inactivity. 4. **Logout Functionality**: Provide a logout option that invalidates the user's session token, effectively logging the user out. 5. **Password Reset**: Include a feature where users can request a password reset through an email verification process. Ensure that the new password is hashed before updating the user's account. 6. **Security Enhancements**: Utilize additional security measures provided by 'aegis-auth-sdk', such as rate limiting on login attempts and protection against brute force attacks. 7. **User Dashboard**: Once logged in, users should have access to a dashboard where they can view their account details and change their password. 8. **Documentation**: Write comprehensive documentation explaining how to use the 'SecureLogin' app, including setup instructions and API references for developers who might want to integrate it into other applications. Your task is to design and develop this mini-app from scratch, ensuring all functionalities are robust and secure. Make sure to leverage the capabilities of the 'aegis-auth-sdk' package throughout your implementation.