AI Analysis
Final verdict: SUSPICIOUS
The package has low risks in terms of network calls, shell execution, and obfuscation. However, the metadata risk score suggests potential issues with maintainer activity, making it suspicious.
- Low maintainer activity
- Potential lack of updates
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution detected, indicating the package does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintainer activity and effort, raising some suspicion but not definitive evidence of malice.
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
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 shortAuthor "" 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 DoujinTools
Create a mini-app named 'DoujinFinder' that leverages the 'DoujinTools' Python package to provide a user-friendly interface for searching, browsing, and downloading information about doujinshi (Japanese fan-created comics). The app should allow users to input search terms such as author name, series title, or tags to find relevant doujinshi entries. Once a doujinshi is selected, the app should display detailed information including cover images, publication date, pages count, and download links if available. Additionally, the app should include features like saving favorite doujinshi, sorting results by popularity or date, and providing recommendations based on user preferences. Use the 'DoujinTools' package to handle all backend operations such as querying databases, parsing data, and managing downloads. Ensure the app is designed with a clean and intuitive UI, making it easy for both casual and frequent users to navigate and enjoy their doujinshi discovery experience.