auraprotector-agent

v0.9.3 suspicious
5.0
Medium Risk

AuraProtector in-process agent for Python ASGI runtimes.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential risks, particularly in network and obfuscation areas, which warrant further investigation before it can be considered safe.

  • network risk due to HTTP POST requests
  • potential obfuscation through base64 decoding
Per-check LLM notes
  • Network: The network calls suggest the package is making HTTP POST requests, which could be legitimate depending on its functionality.
  • Shell: No shell execution patterns detected.
  • Obfuscation: The use of base64 decoding might indicate an attempt to hide logic or data, but it could also be for legitimate purposes like handling encrypted or encoded data.
  • Credentials: No clear signs of credential harvesting detected, but further analysis of the package's functionality and codebase is recommended.
  • Metadata: The missing repository and low maintainer activity suggest potential issues, increasing suspicion of malicious intent.

📦 Package Quality Overall: Low (2.8/10)

○ 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 (4145 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 68 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 6.0

Found 4 network call pattern(s)

  • ort httpx async with httpx.AsyncClient(timeout=2.0) as client: r = await client.post(ap
  • n} async with httpx.AsyncClient(timeout=5.0) as client: r = await client
  • try: async with httpx.AsyncClient(timeout=2.0) as client: await client.post(se
  • try: async with httpx.AsyncClient(timeout=3.0) as client: r = await client.pos
⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • try: decoded = base64.b64decode(token.encode("utf-8"), validate=False).decode("utf-8")
  • try: raw = base64.b64decode(b64) # Wire format: IV[16] + ciphertext[N] + HMA
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ 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 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with auraprotector-agent 
Your task is to develop a simple yet functional web application using FastAPI as the backend framework and integrating the 'auraprotector-agent' package to enhance security and performance. This mini-project will serve as a platform for users to upload and share code snippets, similar to Pastebin or Gist. Here’s a detailed breakdown of the requirements and steps you need to follow:

1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed along with FastAPI, Uvicorn, and the 'auraprotector-agent'. Initialize a new Python virtual environment and install these dependencies.
2. **Application Structure**: Design a clean and modular application structure. Create directories for models, routes, services, and utils.
3. **Database Setup**: Use SQLAlchemy ORM for database operations. Set up a PostgreSQL database to store user information and code snippets.
4. **User Authentication**: Implement JWT-based authentication for user registration, login, and logout functionalities. Ensure secure token handling and expiration.
5. **Code Snippet Management**: Allow authenticated users to upload, view, edit, and delete their code snippets. Each snippet should have metadata like title, language, and creation date.
6. **Security Enhancements**: Integrate the 'auraprotector-agent' package into your ASGI runtime to protect against common web vulnerabilities and performance issues. Configure it according to your needs.
7. **Frontend Integration**: Although not mandatory, consider developing a minimal frontend using React or Vue.js to interact with your API endpoints.
8. **Testing & Deployment**: Write unit tests and integration tests for your application. Deploy your application to a cloud service provider like Heroku or AWS.

Suggested Features:
- User-friendly interface for managing code snippets.
- Real-time preview of uploaded code snippets.
- Syntax highlighting based on the selected programming language.
- Option to make snippets public or private.
- Basic analytics for each snippet, such as views count.

How 'auraprotector-agent' is Utilized:
- Enhance the security of your ASGI application by configuring 'auraprotector-agent' to monitor and mitigate potential threats.
- Optimize performance by leveraging 'auraprotector-agent' to fine-tune your application's runtime behavior.
- Ensure compliance with security best practices by regularly updating and reviewing the configurations provided by 'auraprotector-agent'.

This project aims to demonstrate how 'auraprotector-agent' can be effectively integrated into a real-world application to improve its security posture and operational efficiency.

💬 Discussion Feed

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