🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is deemed suspicious due to the author having only one package and no available git repository, combined with the network risk associated with disabling SSL in aiohttp.

author has only one package
no git repository available
network risk due to SSL being disabled in aiohttp

Per-check LLM notes

Network: The use of aiohttp with SSL disabled might indicate an attempt to bypass secure connections, which could be risky but not necessarily malicious.
Shell: No shell execution patterns detected.
Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
Metadata: The author has only one package and the git repository is not found, which raises some suspicion.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

key self.__session = aiohttp.ClientSession(connector=aiohttp.TCPConnector(ssl=False)) @classmeth

✓ 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: vlxe.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author ""VLXE A/S"" 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 Equia

Create a fully functional mini-application that leverages the Equia Python SDK to manage and monitor user access to various resources within an organization. Your application should allow administrators to easily add, remove, and modify user permissions across different departments and projects. Additionally, it should provide real-time monitoring of resource usage and generate reports on access patterns and potential security risks. Here’s a step-by-step guide to building this application:

1. **Setup Project Environment**: Initialize a new Python project, install the Equia SDK, and set up a virtual environment.
2. **User Management Module**: Implement functionality to add, delete, and update user profiles using Equia's API. Each user profile should include basic information like name, department, and role.
3. **Resource Access Control**: Allow administrators to define and modify access rules for different resources. Users should be able to request access, which gets reviewed and approved or denied by admins.
4. **Real-Time Monitoring**: Integrate real-time monitoring capabilities to track who accesses what resources and when. This data should be stored securely and made available for analysis.
5. **Reporting & Analytics**: Develop a feature that generates detailed reports on access patterns, highlighting any unusual activity or potential security threats. Use visualizations to make the data more understandable.
6. **Security Measures**: Ensure all data transmitted between your application and Equia's servers is encrypted. Implement strong password policies and multi-factor authentication for added security.
7. **Testing & Deployment**: Rigorously test the application for bugs and vulnerabilities. Once ready, deploy it on a secure server accessible only to authorized personnel.

Throughout the development process, refer to the official documentation of the Equia SDK to understand its capabilities better and leverage them effectively.