AI Analysis
Final verdict: SUSPICIOUS
The package shows low risks in terms of network calls, shell execution, obfuscation, and credential handling. However, the incomplete author metadata and potentially new/inactive account raise concerns about potential supply-chain risks.
- Incomplete author metadata
- Possibly new or inactive author account
Per-check LLM notes
- Network: The observed network call may be part of legitimate functionality if the package is designed to fetch online resources.
- Shell: No shell execution patterns detected, indicating low risk.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's information is incomplete and the account seems new or inactive, which raises some suspicion but not enough to conclude malice.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
/online/" response = requests.get( api_url, headers={
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
Email domain looks legitimate: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository EVE-University/aa-orientation appears legitimate
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 aa-orientation
Create a mini-application that integrates with the Alliance Auth platform using the 'aa-orientation' package. This application will serve as a user orientation tool for new members joining a virtual alliance community. The goal is to provide a seamless onboarding experience where new members can explore different aspects of the community, learn about rules, roles, and participate in introductory activities. ### Steps: 1. **Setup Environment**: Ensure you have Python installed and create a virtual environment. Install the necessary dependencies including the 'aa-orientation' package. 2. **Authentication**: Implement a secure login system that integrates with Alliance Auth to verify user credentials. 3. **User Profile**: Allow users to view and update their profiles. Integrate with Alliance Auth to fetch and modify user information. 4. **Orientation Guide**: Create a series of interactive guides or walkthroughs for new members. Each guide should cover essential topics such as community rules, available roles, and key features of the platform. 5. **Feedback Mechanism**: Implement a feedback form where users can provide input about their experience during orientation. 6. **Completion Badge**: Once all guides are completed, award users with a digital badge that can be displayed in their profile. 7. **Integration Testing**: Test the application thoroughly to ensure seamless integration with Alliance Auth. 8. **Deployment**: Deploy the application to a test server for beta testing before full release. ### Suggested Features: - Personalized welcome messages based on user preferences. - Gamified elements such as points and leaderboards to encourage engagement. - Customizable orientation paths depending on the user's role within the alliance. - Real-time chat support for users during orientation. - Integration with external tools like Discord for additional resources. ### Utilizing 'aa-orientation': - Use the 'aa-orientation' package to manage the flow of orientation content. It provides functions to track progress, manage permissions, and customize the orientation experience according to user roles. - Leverage its built-in authentication mechanisms to streamline the login process. - Take advantage of its API to fetch user data from Alliance Auth and sync it with your application's database.