AI Analysis
Final verdict: SUSPICIOUS
The package exhibits medium-level network risk due to network communication capabilities, despite showing low risks in other areas such as shell execution and credential management. The maintainer's limited engagement and the informal nature of the project description raise concerns about its reliability and long-term maintenance.
- Medium network risk due to network communication capabilities
- Low community engagement and informal project description
Per-check LLM notes
- Network: The use of requests.Session indicates network communication which could be legitimate for authentication or API interaction but warrants further investigation to confirm intended usage.
- Shell: No shell execution patterns were detected, suggesting low risk of direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating secure handling of secrets.
- Metadata: The repository's lack of community engagement and the maintainer's limited activity suggest potential unreliability, but there's no clear evidence of malicious intent.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
self): self.session = requests.Session() self.responses = {} def login(self) -> bool:
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: passinbox.com>
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 Python-3xui
Your task is to develop a simple yet powerful desktop application using Python and the 'Python-3xui' package. This application will serve as a basic note-taking tool where users can create, edit, delete notes, and search through their notes efficiently. Hereβs a detailed breakdown of what your application should achieve: 1. **User Interface**: Utilize the 'Python-3xui' package to design a clean, user-friendly interface. Ensure that the UI elements such as buttons, text fields, and labels are properly styled and positioned. 2. **Functionality**: - Allow users to add new notes. Each note should have a title and content. - Provide an option to edit existing notes. - Implement a feature to delete notes. - Include a search bar where users can type keywords to find specific notes. 3. **Data Storage**: Store the notes locally on the user's device. Consider using SQLite or another lightweight database solution to manage the data efficiently. 4. **Additional Features**: - Add a feature to categorize notes into different folders or tags. - Include a date and time stamp for each note. - Allow users to set reminders for certain notes. 5. **Testing and Documentation**: Ensure your application works seamlessly across different operating systems. Write clear documentation detailing how to install and use the application. To achieve these goals, you will leverage the 'Python-3xui' package for its advanced UI capabilities. This package simplifies the process of building graphical user interfaces in Python, allowing you to focus more on the application's functionality rather than the UI implementation details. Use the package's components to create interactive elements like buttons, input fields, and lists for displaying notes.