🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network, shell execution, obfuscation, and credential handling. However, metadata concerns, including missing maintainer information and limited package association, raise suspicion about potential inactivity or newness of the account, warranting further scrutiny.

Metadata risk due to missing maintainer information
Single associated package suggesting possible inactivity or newness of the account

Per-check LLM notes

Network: The package makes network calls which appear to be part of its intended functionality, fetching data from external URLs.
Shell: No shell execution patterns were detected in the provided code snippets.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some red flags, particularly the lack of maintainer information and a single associated package, which could indicate a new or inactive account.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

rl: str) -> str: with httpx.Client() as client: response = client.get(lookup_url, t
t(ep): async with httpx.AsyncClient(verify=True, timeout=timeout) as client: ret
request(ep): with httpx.Client(verify=True, timeout=timeout) as client: ret
(headers) async with httpx.AsyncClient(verify=False, timeout=self.timeout) as client: i

✓ 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: lcp.uk.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ 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 LCPDelta

Create a real-time document collaboration tool using the LCPDelta Python package. This tool will allow multiple users to edit a shared document simultaneously, with all changes being reflected in real-time across all connected clients. The application should have the following key features:

1. User Authentication: Implement user sign-up and login functionality.
2. Real-Time Editing: Allow multiple users to edit the same document at the same time, with changes being propagated instantly.
3. Version Control: Maintain a history of edits, allowing users to revert to previous versions if needed.
4. Conflict Resolution: Automatically handle conflicts when two users try to edit the same part of the document simultaneously.
5. Document Sharing: Provide a feature to share documents via unique URLs.
6. Access Controls: Enable users to set read-only or read-write permissions for other users on specific documents.
7. Notifications: Notify users about recent changes made by others.
8. Offline Support: Allow users to continue editing the document even when they're offline, syncing changes once reconnected.

The LCPDelta package will be used to manage the collaborative editing aspect of the application. It provides low-level primitives for handling concurrent modifications efficiently, which will be crucial for implementing real-time editing and conflict resolution. Your task is to design and implement this mini-application from scratch, detailing how each feature integrates with the LCPDelta package.