AI Analysis
The package shows some unusual characteristics such as low author activity and missing metadata, which raises concerns about its legitimacy and quality. However, it does not exhibit high-risk behaviors like making network calls or executing shell commands.
- Low author activity and missing information
- Use of base64 encoding
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communications.
- Shell: No shell execution detected, reducing the risk of potential command injection attacks.
- Obfuscation: The use of base64 encoding is common for data obfuscation but could also be used for legitimate purposes like data serialization.
- Credentials: No clear patterns indicative of credential harvesting were detected.
- Metadata: Low author activity and missing information suggest potential low-quality or malicious intent.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (2060 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
31 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
ue: str) -> bytes: return base64.b64decode(value.encode("utf-8")) class PSIOperation(Operation):
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
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)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a secure messaging application called 'CryptoChat' that leverages the 'ap3-functions' package for its cryptographic operations. CryptoChat should allow users to send encrypted messages to one another, ensuring privacy and security. Here's a detailed breakdown of the steps and features you'll need to implement: 1. **User Registration**: Implement user registration where each user generates a unique public-private key pair using functions from the 'ap3-functions' package. Store these keys securely on the server. 2. **Login System**: Develop a login system that verifies users based on their unique identifiers and retrieves their stored keys. 3. **Message Encryption**: When a user sends a message, use the recipient's public key (retrieved from the server) to encrypt the message using the 'ap3-functions' package. Ensure that only the intended recipient can decrypt the message using their private key. 4. **Message Decryption**: Upon receiving an encrypted message, the recipient should be able to decrypt it using their private key from the 'ap3-functions' package. 5. **Real-time Messaging**: Integrate real-time messaging functionality so that messages are delivered instantly to recipients after encryption. 6. **Session Management**: Maintain active sessions for logged-in users, automatically logging them out after a period of inactivity. 7. **Security Measures**: Implement additional security measures such as session token validation and regular key rotation using the 'ap3-functions' package. 8. **User Interface**: Design a simple yet intuitive user interface for ease of use. It should include a chat window, input box for typing messages, and a button to send messages. 9. **Testing**: Thoroughly test the application for security vulnerabilities and ensure all cryptographic operations are correctly implemented using the 'ap3-functions' package. Your task is to outline the architecture of the application, choose appropriate technologies (e.g., Flask for backend, React for frontend), and detail how the 'ap3-functions' package will be integrated into each step of the process.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue