AI Analysis
Final verdict: SUSPICIOUS
The package exhibits low risks in terms of network usage, shell execution, and obfuscation. However, the metadata risk score is elevated due to the package's novelty and lack of detailed maintainer history.
- No network calls or shell executions detected
- Elevated metadata risk due to lack of maintainer history
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The package shows signs of being new and potentially suspicious due to lack of maintainer history and author details.
Package Quality Overall: Low (1.2/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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: oravys.com>
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
Only one version has ever been released — brand new packageAuthor 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 audioverify
Create a voice authentication mini-app using the 'audioverify' package from Oravys Inc. Your task is to develop a user-friendly interface where users can enroll their voiceprints and later verify their identity based on these voiceprints. The app should have the following functionalities: 1. User Registration: Users should be able to register by providing basic information (name, email, etc.) and recording their voice for voiceprint creation. 2. Voice Enrollment: Upon registration, the system should capture the user's voice input, process it using 'audioverify', and store the resulting voiceprint securely. 3. Voice Verification: When logging in, users will speak a predefined phrase, and the app should use 'audioverify' to compare the recorded voice with the stored voiceprint. 4. Security Measures: Implement basic security measures such as hashing and salting for storing voiceprints and ensure data privacy compliance. 5. Feedback Mechanism: Provide immediate feedback to users regarding the success of the verification process. 6. Additional Features: Consider adding features like re-enrollment options if verification fails multiple times, or the ability to delete one's account and voiceprint. Utilize the 'audioverify' package to handle all voice processing tasks including enrollment and verification. Ensure your application is designed with good coding practices, including modularity, readability, and efficient error handling.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue