Djblets

v6.0 safe
4.0
Medium Risk

A collection of useful classes and functions for developing large-scale Django-based web applications.

🤖 AI Analysis

Final verdict: SAFE

The package Djblets v6.0 presents a low risk profile with minor concerns around shell execution and obfuscation techniques. These issues do not strongly suggest malicious intent.

  • Shell execution detected during installation
  • Use of encryption and compression techniques
Per-check LLM notes
  • Network: No network calls detected, which is normal unless specific network interactions are expected.
  • Shell: Shell execution to install npm dependencies might be legitimate for front-end or hybrid projects but should be reviewed for context.
  • Obfuscation: The code uses encryption and compression techniques which may indicate an attempt to hide the true nature of the data, but it could also be a legitimate use of secure data handling.
  • Credentials: No clear patterns indicating direct harvesting of credentials or secrets were detected.
  • Metadata: The author's information is incomplete and they may be new or inactive, but there are no clear signs of malicious intent.

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

  • ss_large_data: data = zlib.decompress(data) return data def _cache_iter_large_data( *,
  • ual( pickle.loads(zlib.decompress(aes_decrypt(stored_data))), data) # Cal
  • ual( pickle.loads(zlib.decompress( aes_decrypt(stored_data, key=encryption_key
  • try: value = pickle.loads(value) except Exception as e: lo
  • str) self.assertEqual(pickle.loads(aes_decrypt(cache_value)), test_str
  • self.assertEqual( pickle.loads(aes_decrypt(cache_value,
Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • and = 'npm' try: subprocess.check_call([npm_command, '--version'], st
  • # Install dependencies. subprocess.call([npm_command, 'install']) # Check if we're actually bui
Credential Harvesting

No credential harvesting patterns detected

Typosquatting

No typosquatting candidates detected

Registered Email Domain

Email domain looks legitimate: beanbaginc.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History

Repository djblets/djblets appears legitimate

Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 Djblets
Create a collaborative task management tool using Django and the Djblets package. This tool will allow users to create projects, add tasks to those projects, assign tasks to team members, set due dates, and comment on tasks. Additionally, the application should support user authentication and authorization to ensure that only authorized users can view and modify specific tasks or projects.

### Core Features:
1. **User Authentication**: Implement login/signup functionality allowing users to securely access their projects and tasks.
2. **Project Management**: Users should be able to create and manage multiple projects. Each project can have its own set of tasks.
3. **Task Management**: Within each project, users can add, edit, delete, and view tasks. Tasks should have fields such as title, description, due date, priority level, and status.
4. **Task Assignment**: Tasks can be assigned to other users within the same project. Only the task creator or project owner should be able to reassign tasks.
5. **Comments and Discussions**: Allow users to leave comments on individual tasks. Comments should include timestamps and usernames for context.
6. **Authorization Levels**: Define different levels of user permissions (e.g., Project Owner, Team Member). Owners should have full control over the project and its tasks, while team members can only view and modify tasks they are assigned to.
7. **Notifications**: Implement a notification system that alerts users when they are assigned a new task or when someone leaves a comment on a task they are following.

### Utilizing Djblets:
- **Use Djblets' API for Authentication and Authorization**: Djblets provides enhanced user management capabilities which can simplify the implementation of user authentication and authorization mechanisms. Leverage Djblets' APIs to streamline user registration, login, and permission checks.
- **Leverage Djblets for Scalability**: As your application grows, Djblets offers several utilities that can help manage database queries efficiently, improve performance, and scale the application effectively.
- **Enhanced User Experience**: Djblets includes utilities for improving the user interface and experience. Use these tools to enhance the look and feel of your application, making it more intuitive and user-friendly.

Your goal is to build a fully functional, user-friendly task management tool that leverages Djblets to handle complex user interactions and data management tasks efficiently.