AI Analysis
Final verdict: SUSPICIOUS
The package exhibits a moderate risk level due to its reliance on an external tool via shell commands and the maintainer's limited presence on the platform.
- Shell command usage to run 'markitdown'
- Single package maintained with no linked GitHub repository
Per-check LLM notes
- Network: No network calls were detected, which is normal and reduces risk.
- Shell: The use of shell commands to run 'markitdown' suggests the package leverages an external tool, which could be for functionality but requires further investigation into the purpose.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package and no linked GitHub repository, which could indicate a less experienced or potentially suspicious account.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 4.0
Found 2 shell execution pattern(s)
try: result = subprocess.run( ["markitdown", str(input_path), "-o", str(o.""" try: subprocess.run( ["markitdown", "--version"],
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
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Any2MD Contributors" 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-1StepMore
Create a versatile document conversion tool named 'Markdownify' that leverages the Any2MD-1StepMore package to convert various document formats into Markdown. This tool will support multiple input formats such as PDF, DOCX, and HTML, and allow users to select between two modes of operation: 'Quality' mode for high-fidelity conversions and 'Speed' mode for quick, less accurate conversions. Additionally, implement a feature that allows users to preview the converted Markdown content before saving it. For advanced users, include an option to customize the Markdown output through a configuration file. Finally, ensure the application has a user-friendly command-line interface for ease of use.