any2md

v1.1.1 suspicious
6.0
Medium Risk

Convert PDF, DOCX, HTML, and TXT files — or web pages by URL — to clean, LLM-optimized Markdown with YAML frontmatter.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to potential unintended network communications and shell execution capabilities, raising concerns about its true intentions.

  • Moderate network risk indicating possible unintended external service communication
  • High shell risk suggesting potential for unintended code execution
Per-check LLM notes
  • Network: The network call patterns suggest the package might be designed to communicate with external services, but without further context on its purpose, it's hard to determine if this is intended behavior or malicious.
  • Shell: Executing the package via subprocess.run indicates the package can run itself with additional arguments, which could potentially be used for legitimate purposes like command-line interfaces, but also raises concerns about unintended execution of code.
  • Metadata: The package shows some red flags such as missing author information and potential new/inactive maintainer, but no clear signs of typosquatting or malicious intent.

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 37 test file(s) found

  • Test runner config found: conftest.py
  • 37 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (34663 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

  • 135 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in rocklambros/any2md
  • Two distinct contributors found

🔬 Heuristic Checks

Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • connect(self): sock = socket.create_connection( (self._pinned_ip, self.port), timeout=self.time
  • ct(self): self.sock = socket.create_connection( (self._pinned_ip, self.port), timeout=self.time
  • err class _NoFollowRedirect(urllib.request.HTTPRedirectHandler): """Disable urllib's automatic redi
  • nned_ip: str, scheme: str) -> urllib.request.OpenerDirector: """Build an opener that: - suppresse
  • P """ proxy_handler = urllib.request.ProxyHandler({}) no_redirect = _NoFollowRedirect()
  • tps": class _Handler(urllib.request.HTTPSHandler): def https_open(self, req): # noq
Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • def _run(*args): return subprocess.run( [sys.executable, "-m", "any2md", *args], ca
  • (*args, cwd=None): return subprocess.run( [sys.executable, "-m", "any2md", *args], ca
Credential Harvesting score 2.5

Found 1 credential access pattern(s)

  • = html_mod.fetch_url("file:///etc/passwd") assert body is None assert err and "scheme" in er
Typosquatting

No typosquatting candidates detected

Registered Email Domain

Email domain looks legitimate: rockcyber.com>

Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://`
  • Non-HTTPS external link: http://169.254.169.254/`
Git Repository History

Repository rocklambros/any2md appears legitimate

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 any2md
Create a versatile document converter mini-app named 'Doc2MD' using the Python package 'any2md'. This app should allow users to easily convert various types of documents (PDF, DOCX, HTML, TXT) and web pages into clean, LLM-optimized Markdown files with YAML frontmatter. Here are the key steps and features for building this application:

1. **Setup**: Start by setting up a virtual environment and installing the necessary packages, including 'any2md', 'requests' for handling URLs, and 'argparse' for command-line arguments.

2. **User Interface**: Develop a simple yet intuitive user interface where users can select their file type (file upload or URL input), choose the output directory, and initiate the conversion process.

3. **Conversion Logic**: Implement the core functionality using 'any2md'. For each selected file type or URL, use 'any2md' to convert the content into a clean Markdown format with appropriate YAML frontmatter that includes metadata like title, author, date, etc.

4. **Error Handling**: Ensure robust error handling for various scenarios such as invalid file formats, unreachable URLs, or issues during conversion.

5. **Output Management**: After successful conversion, save the resulting Markdown files to the specified output directory and notify the user about the completion status.

6. **Enhancements**: Consider adding additional features like batch processing (convert multiple files at once), previewing the converted Markdown before saving, and allowing customization of the YAML frontmatter.

This project will showcase your ability to integrate third-party libraries effectively while providing a useful tool for anyone needing to convert documents into a structured Markdown format.

💬 Discussion Feed

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