AI Analysis
Final verdict: SAFE
The package shows low risk across all assessed categories except for metadata, where it scores higher due to its novelty and lack of maintainer history. However, there's no concrete evidence of malicious intent.
- No network or shell risks detected.
- Lacks maintainer history, raising some suspicion.
Per-check LLM notes
- Network: No network calls were detected, which is typical for a utility package like 'afwf_genpass'.
- Shell: The detected shell executions seem to be related to running tests and opening HTML files for coverage reports, which is not indicative of malicious behavior.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is new and lacks maintainer history, which raises some suspicion.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 6.0
Found 3 shell execution pattern(s)
_cwd(Path(root_dir)): subprocess.run(args) def run_cov_test( script: str, module: str,_cwd(Path(root_dir)): subprocess.run(args) if preview: # pragma: no cover platform =e NotImplementedError subprocess.run([open_command, f"{Path(htmlcov_dir).joinpath('index.html')}"
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: email.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository MacHu-GWU/afwf_genpass-project appears legitimate
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released β 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 afwf_genpass
Your task is to develop a comprehensive password management utility using the Python package 'afwf_genpass'. This utility will not only generate random passwords but also store them securely, allowing users to retrieve, update, and delete their passwords as needed. Hereβs a step-by-step guide on how to approach this project: 1. **Setup and Environment**: Begin by setting up your development environment. Ensure you have Python installed along with the 'afwf_genpass' package. You may need to install additional packages such as 'cryptography' for secure storage of passwords. 2. **Password Generation Functionality**: Utilize the 'afwf_genpass' package to implement a function that generates strong, random passwords. This function should allow customization based on user preferences such as length and inclusion of special characters, numbers, and uppercase letters. 3. **Secure Storage**: Implement a feature to securely store these generated passwords. Use the 'cryptography' library to encrypt the passwords before storing them. Consider using a local SQLite database for simplicity and security. 4. **User Interface**: Develop a simple command-line interface (CLI) that allows users to interact with your utility. Users should be able to generate new passwords, view stored passwords, update existing passwords, and delete passwords. 5. **Security Enhancements**: To ensure the security of the application, implement measures such as hashing user credentials and ensuring all data transactions are encrypted. 6. **Testing and Documentation**: Thoroughly test the application to ensure it functions correctly and securely. Document the code and provide instructions on how to use the application effectively. Suggested Features: - Integration with popular password managers for easy migration. - Ability to categorize passwords by type (e.g., email, banking). - Support for generating QR codes for two-factor authentication (2FA) setup. - Automatic password strength assessment during generation. How to Utilize 'afwf_genpass': - For generating random passwords, call the appropriate function from the 'afwf_genpass' package, passing parameters such as length and character types. - Integrate the generated password into your application's flow for storage or display to the user. This project aims to create a robust, user-friendly, and secure password management solution that leverages the power of 'afwf_genpass' for password generation.