agnes-security

v2.1.1 suspicious
6.0
Medium Risk

Official Python SDK for Agnes AI Security

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate level of risk due to missing maintainer information and lack of a linked Git repository, which raises concerns about its provenance and maintainability.

  • Missing maintainer information and no linked Git repository
  • Network calls made via httpx.Client and AsyncClient
Per-check LLM notes
  • Network: The use of httpx.Client and AsyncClient suggests the package is making network calls, which could be legitimate for fetching data or communicating with a server.
  • Shell: No shell execution patterns were detected, indicating no immediate risk of executing arbitrary commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has some red flags including missing maintainer information and no linked Git repository, which could indicate potential issues.

📦 Package Quality Overall: Medium (5.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://agnes.lasscyber.com/docs
  • Detailed PyPI description (5509 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 272 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • self._client = client or httpx.Client( base_url=config.base_url, timeout=c
  • self._client = client or httpx.AsyncClient( base_url=config.base_url, timeout=c
  • e: self._client = httpx.Client( base_url=self._base_url, co
  • context manager for internal httpx.Client (see httpx docs)""" self.get_httpx_client().__exit__(
  • self._async_client = httpx.AsyncClient( base_url=self._base_url, co
  • ontext manager for underlying httpx.AsyncClient (see httpx docs)""" await self.get_async_httpx_client
✓ 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: lasscyber.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 agnes-security 
Create a Python-based security dashboard app using the 'agnes-security' package. This app will serve as a comprehensive tool for monitoring and managing security alerts from various sources. Here’s a detailed plan on how to build it:

1. **Setup Environment**: Begin by setting up your development environment. Install Python and ensure you have pip installed. Next, install the 'agnes-security' package via pip.

2. **Application Structure**: Design a modular application structure. The main components will include a user interface (UI), a data manager for handling security data, and a notification system for alerting users of critical issues.

3. **User Interface (UI)**: Develop a simple yet effective UI using a framework like Tkinter or PyQt. The UI should display real-time security alerts, a summary of recent incidents, and allow users to configure alert thresholds.

4. **Data Manager**: Implement a data manager that leverages the 'agnes-security' package to fetch and process security data. Use the package’s APIs to integrate with different security services, such as intrusion detection systems (IDS) or antivirus software.

5. **Notification System**: Build a notification system that sends alerts based on the severity of the security events. Utilize the 'agnes-security' package to define and manage alert rules. Notifications can be sent via email or SMS using external services like Twilio.

6. **Feature Suggestions**:
   - **Real-Time Monitoring**: Continuously update the dashboard with the latest security information.
   - **Customizable Alerts**: Allow users to set custom alert levels and types.
   - **Historical Data Analysis**: Provide tools for analyzing past security events to identify trends and potential vulnerabilities.
   - **Integration Capabilities**: Support integration with multiple security systems and services.

7. **Utilizing 'agnes-security'**: Throughout the project, extensively use the 'agnes-security' package for its core functionalities. For instance, use its API to authenticate with security services, retrieve real-time data, and manage alert configurations. Additionally, explore advanced features like threat intelligence feeds and compliance checks.

8. **Testing & Deployment**: Test the application thoroughly to ensure all features work as expected. Consider deploying the application on a local server or cloud platform for broader access.

By following these steps, you'll create a robust security dashboard that enhances visibility and control over security operations.