AI Analysis
Final verdict: SUSPICIOUS
The package has low direct risks such as network, shell, and obfuscation risks, but the incomplete author information and potential inactivity of the maintainer raise concerns about its origin and maintenance.
- Incomplete author information
- Potential inactivity of the maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no immediate risk of command injection or unauthorized access.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The author information is incomplete and the maintainer may be inactive or new, raising some suspicion but not enough to conclusively determine malintent.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
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: carrotmanmatt.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository opendevise/downdoc appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 Pydowndoc-bin
Create a mini-application called 'MarkdownNoteTaker' that leverages the Pydowndoc-bin package to provide users with an easy-to-use interface for managing notes written in Markdown format. This application should allow users to create, edit, delete, and search through their notes. Additionally, it should have the capability to convert Markdown files into HTML for previewing purposes. Step 1: Set up the environment by installing Python and the Pydowndoc-bin package. Step 2: Design the user interface to be simple and intuitive, allowing for basic CRUD (Create, Read, Update, Delete) operations on Markdown files. Step 3: Implement functionality to convert Markdown files to HTML using the downdoc binary executable from Pydowndoc-bin for real-time preview within the application. Step 4: Add advanced features such as tagging notes, setting reminders, and searching through notes based on tags or content. Step 5: Ensure the application saves all changes automatically and provides options to export notes as PDF or HTML files. How Pydowndoc-bin is utilized: - To convert Markdown files to HTML for preview purposes, utilizing the downdoc binary executable provided by Pydowndoc-bin.