AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activities such as network calls, shell executions, or credential harvesting. However, the maintainer's low activity and lack of package metadata suggest some caution is warranted.
- No network calls detected
- Maintainer has only one package with minimal metadata
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is safe unless expected functionality involves system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating secure handling of secrets.
- Metadata: The maintainer has only one package and lacks PyPI classifiers, indicating low activity or effort.
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 4.0
2 maintainer concern(s) found
Author "مصعب العريقي" 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 Mosab
Create a simple web application using Flask and the 'Mosab' library that allows users to upload their Python scripts for security analysis. The application should provide feedback on potential security vulnerabilities within the uploaded script. Here's a step-by-step guide on how to develop this mini-application: 1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed, along with Flask and the 'Mosab' library. 2. **Application Structure**: Design a basic Flask application structure. This includes setting up routes for uploading files, processing them with 'Mosab', and displaying results. 3. **File Upload Interface**: Implement a user-friendly interface where users can upload their Python scripts. Use HTML forms for file uploads. 4. **Security Analysis**: Utilize the 'Mosab' library to analyze the uploaded scripts for security issues. Integrate this functionality into your Flask app so that upon file upload, the script is analyzed and relevant security checks are performed. 5. **Result Display**: Develop a feature to display the analysis results to the user. These results should highlight any security concerns found in the script. 6. **Enhancements**: Consider adding extra features such as a brief explanation of each security issue identified, a severity rating for each issue, and suggestions for remediation. 7. **Testing & Validation**: Thoroughly test the application with various Python scripts to ensure it accurately identifies security issues. Validate the output of 'Mosab' against known vulnerabilities. 8. **Deployment**: Once the application is ready, deploy it to a cloud service provider like Heroku or AWS, making sure it's accessible to the public. The goal is to create an educational tool that helps developers understand common security pitfalls in Python scripting and how to mitigate them.