🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of obfuscation techniques that could be used to hide malicious code, and there is limited information about the maintainers' reliability. While no immediate threats were found, these factors raise concerns.

High obfuscation risk
Low popularity and activity of the repository

Per-check LLM notes

Network: No network calls detected, which is low risk.
Shell: Subprocess execution may be legitimate but requires further investigation to ensure it's not used maliciously.
Obfuscation: The use of __file__ and exec for code execution suggests potential obfuscation practices which may hide malicious code.
Credentials: No clear patterns indicative of credential harvesting were detected.
Metadata: The repository is not popular and the maintainer has limited activity, suggesting potential unreliability.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

__file__, "exec") exec(compiled_code, module.__dict__) except Exception as e:
s compiled_code = compile(code, module.__file__, "exec") exec(compiled_code, module.__dict__)

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

= open(log_path, "a") subprocess.Popen( [sys.executable, "-u", "-m", "easyjupyter.watch

✓ 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 2.0

1 maintainer concern(s) found

Author "Tony Avis" 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 EasyJupyter

Your task is to create a mini-application named 'NotebookSync' using Python and the EasyJupyter package. This application will allow users to synchronize their local Jupyter Notebooks with a remote server, ensuring that all changes made locally are also reflected on the server, and vice versa. Here are the steps and features your application should include:

1. **Setup**: Begin by installing EasyJupyter and setting up your development environment. Ensure that the application can handle both Windows and Unix-based systems.
2. **Authentication**: Implement a simple user authentication system where users can log in with a username and password. Store these credentials securely.
3. **Synchronization Logic**: Use EasyJupyter to manage the synchronization between local Jupyter Notebooks and a remote server. The application should be able to detect changes made to files on either side and update the other accordingly.
4. **Conflict Resolution**: In cases where there are conflicting changes (i.e., both sides have modified the same file), the application should present options to the user for conflict resolution, such as merging changes, keeping the local version, or keeping the server version.
5. **Version Control**: Integrate basic version control within the application, allowing users to view previous versions of their notebooks and revert to them if necessary.
6. **User Interface**: Develop a user-friendly interface for interacting with the application. This could be a web-based interface or a command-line tool, depending on your preference.
7. **Testing**: Write unit tests to ensure that each feature works correctly under various scenarios, including edge cases like network failures or file deletions.

Throughout the development process, make sure to leverage EasyJupyter's capabilities to streamline the integration of Jupyter Notebook functionalities into your application.