antarraksha-autogen

v0.1.4 suspicious
4.0
Medium Risk

Antarraksha AI Agent Enforcement SDK for Autogen

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potentially interacting with external services, though the exact nature of these interactions is unclear due to the unavailability of the repository. This, combined with the single-package maintainer's profile, raises some suspicion.

  • Network calls indicate potential interaction with external services, requiring further investigation.
  • Repository not found and single-package maintainer profile raise concerns.
Per-check LLM notes
  • Network: The presence of network calls suggests the package interacts with external services, which could be legitimate but requires further investigation to confirm its purpose and ensure it's not misused.
  • Shell: No shell execution patterns were detected, indicating a low risk of direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has no typosquatting candidates and no suspicious links, but the repository is not found and the maintainer has only one package on PyPI.

📦 Package Quality Overall: Low (3.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1904 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 12 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • losed self._session = requests.Session() self._session.headers.update({ "Conten
✓ 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: antarraksha.ai

✓ Suspicious Page Links

All external links appear legitimate

⚠ 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 "Akash Kumar Dey" 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 antarraksha-autogen 
Create a mini-application called 'AutoGuard' using the Python package 'antarraksha-autogen'. This application will serve as an intelligent security agent for monitoring and enforcing security policies within a user's digital environment. The core functionalities of AutoGuard include real-time threat detection, policy enforcement, and automated response mechanisms to ensure the safety and integrity of user data.

Step 1: Set up the project structure and install 'antarraksha-autogen' via pip.
Step 2: Design and implement a simple UI where users can input their security policies (e.g., block access from specific IP addresses, monitor for unauthorized file changes).
Step 3: Utilize the 'antarraksha-autogen' package to create an AI-driven security agent that continuously monitors the system for any activities that violate the set policies.
Step 4: Implement an automated response feature where the AI agent can take immediate actions such as blocking suspicious activities, alerting the user, or isolating affected areas.
Step 5: Add logging capabilities to track all security events and responses taken by the AI agent.

Suggested Features:
- Integration with popular cloud platforms for extended monitoring capabilities.
- Support for custom scripts or plugins to extend the functionality based on specific needs.
- A reporting module that generates periodic security reports summarizing the monitored activities and enforced actions.
- User-friendly configuration options to tailor the security policies to different environments.

How to Use 'antarraksha-autogen':
- Initialize the AI agent using the SDK provided by 'antarraksha-autogen', specifying the security policies defined by the user.
- Configure the agent to listen for events and trigger actions based on predefined rules.
- Leverage the AI capabilities of the package to analyze patterns and predict potential threats, enhancing the overall security posture.

💬 Discussion Feed

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