🤖 AI Analysis

Final verdict: SAFE

The package CSTester v2.0.0 exhibits low risk indicators with no network calls, shell executions, or credential harvesting activities. However, the incomplete maintainer's information and lack of community engagement slightly elevate the metadata risk.

No network calls detected
Incomplete maintainer's information
Lack of community engagement

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
Metadata: The maintainer's author information is incomplete, and the repository lacks community engagement, raising some concerns about its legitimacy.

🔬 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: chaseleif.tech>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 CSTester

Create a web-based educational platform called 'CodeChallenge' using Python's Flask framework and the CSTester package. This platform aims to help students practice their coding skills through interactive challenges and automated grading. Here are the steps and features to include:

1. **User Registration and Login**: Allow users to create accounts and log in securely. Store user information and challenge progress.
2. **Challenge Creation**: Admins can create coding challenges with input/output specifications and sample test cases. Use CSTester to define these test cases.
3. **Challenge Submission**: Once a challenge is published, users can submit their code solutions. The platform should automatically grade submissions based on predefined criteria using CSTester.
4. **Automated Grading**: Implement CSTester to run each submission against the provided test cases and generate a score and feedback report for the user.
5. **Progress Tracking**: Users should be able to see their performance on past challenges, including scores and feedback from automated grading.
6. **Community Features**: Enable users to discuss challenges and share solutions in forums. Integrate CSTester to ensure discussions remain focused on learning and not just sharing answers.
7. **Admin Dashboard**: Provide admins with a dashboard to manage users, view submission statistics, and monitor forum activity.

Use CSTester to handle the automated grading process by defining test cases for each challenge. Ensure that CSTester is integrated seamlessly into the Flask app to provide real-time feedback to users upon submission of their code.