atbbs

v1.4.2 suspicious
5.0
Medium Risk

Decentralized bulletin boards on atproto.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is suspected of being a potential typosquatting attempt targeting 'attrs'. Despite having no clear malicious activities such as network, shell, or obfuscation risks, the low maintainer effort and suspicious naming pattern elevate its risk level.

  • Potential typosquatting
  • Low maintainer effort
Per-check LLM notes
  • Network: The package makes network calls which appear to be related to HTTP requests and asynchronous client operations, which could be legitimate depending on the package's purpose.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
  • Metadata: The package shows signs of low maintainer effort and possible typosquatting, raising suspicion.
  • ⚠ Typosquatting target: attrs

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: pyproject.toml
  • 3 test file(s) detected (e.g. test_filters.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3402 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

  • 133 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 6.0

Found 4 network call pattern(s)

  • ta.partition(" ") items = urllib.request.parse_http_list(params) opts = urllib.request.parse_keqv
  • _http_list(params) opts = urllib.request.parse_keqv_list(items) return scheme, opts def is_use_
  • async with _connections, httpx.AsyncClient() as client: await write(writer, f"\r\n{LOGO}\r\n")
  • e: self.http_client = httpx.AsyncClient(timeout=10) os.makedirs(DATA_DIR, exist_ok=True)
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

⚠ Typosquatting score 3.0

Possible typosquat of: attrs

  • "atbbs" is 2 edit(s) from "attrs"
✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 atbbs 
Create a decentralized social media application called 'DBoard' using the Python package 'atbbs', which leverages atproto for its backend infrastructure. This application will serve as a bulletin board where users can post messages, comments, and share content in a decentralized manner, ensuring privacy and security. Here’s a step-by-step guide on how to build it:

1. **Setup Environment**: Begin by setting up your development environment. Ensure you have Python installed along with virtualenv or venv to manage dependencies. Install the 'atbbs' package using pip.

2. **User Authentication**: Implement user authentication using atproto. Users should be able to sign up and log in securely. Utilize atproto's identity service for managing user accounts.

3. **Bulletin Board Creation**: Create a feature where users can create their own bulletin boards. Each board can have a unique name and description. Use 'atbbs' to handle the creation of these boards on the atproto network.

4. **Posting and Commenting**: Allow users to post messages and comments on the bulletin boards they follow or create. Ensure that posts and comments are linked to the appropriate boards and users through atproto's handles.

5. **Notifications System**: Implement a basic notifications system where users receive alerts when someone comments on their posts or likes their content. Use webhooks provided by atproto for real-time updates.

6. **Search Functionality**: Enable users to search for specific posts or boards based on keywords. Utilize atproto's search capabilities to fetch relevant data efficiently.

7. **Privacy Settings**: Introduce privacy settings where users can control who can view and interact with their posts and boards. Use atproto's permissions model to enforce these settings.

8. **Mobile Responsiveness**: Make sure the application is mobile-responsive, providing a seamless experience across devices. Focus on clean UI/UX design.

9. **Testing and Deployment**: Thoroughly test all functionalities of DBoard to ensure everything works as expected. Deploy the application using a cloud provider like AWS or Heroku.

In each step, leverage 'atbbs' to handle the core functionalities related to bulletin boards, such as creating, reading, updating, and deleting posts and boards. This project aims to showcase the power of decentralized applications while providing a useful tool for community engagement.

💬 Discussion Feed

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