AI Analysis
Final verdict: SUSPICIOUS
The package exhibits moderate risks due to shell execution capabilities and potential obfuscation techniques, despite having no clear signs of malicious intent such as credential harvesting or network calls.
- Shell execution present
- Potential for obfuscation
Per-check LLM notes
- Network: No network calls detected.
- Shell: Shell execution is present and could be used to execute arbitrary commands, which may pose a risk if not properly sanitized.
- Obfuscation: The use of __import__ with dynamic module loading suggests potential obfuscation or evasion techniques, increasing suspicion.
- Credentials: No clear signs of credential harvesting observed.
- Metadata: The maintainer has a new or inactive account and lacks a proper author name, raising some suspicion but not definitive evidence of malice.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
try: __import__(obj) return cls(sys.modules[obj]) ex
Shell / Subprocess Execution
score 10.0
Found 6 shell execution pattern(s)
d() self._proc = subprocess.Popen( self._command, shell=True,, ] ) proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE) wh_path, builddir]) proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE) whs", "rst2odt.py") proc = subprocess.Popen(" ".join([python, script, source, dest])) while proc.re", "rst2html.py") proc = subprocess.Popen(" ".join([python, script, source, dest])) while proc.reelf._command, shell=True, stdout=subprocess.PIPE, st
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: codra.fr>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Codra-Ingenierie-Informatique/ModuleTester appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author 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 ModuleTester
Create a fully-functional mini-application called 'TestMaster' that leverages the 'ModuleTester' package to manage and execute unit tests for various Python projects. This application will serve as a user-friendly interface for developers to easily set up, run, and analyze test results from their Python modules and packages. Step 1: Set Up the Project Structure - Initialize a new Python project named 'TestMaster' - Install the 'ModuleTester' package as a dependency - Create a main script file and a configuration file for setting up test environments Step 2: Design the Core Functionality - Implement a function to scan a given directory for Python files and identify potential test modules - Use 'ModuleTester' to load these test modules into your application - Develop a feature to configure test execution parameters such as verbosity, test selection criteria, etc. Step 3: Execute Tests - Integrate 'ModuleTester' to run the selected tests - Capture and store the output of each test case including pass/fail status and error messages - Provide real-time feedback on test execution progress Step 4: Analyze Results - After all tests have been executed, generate a comprehensive report summarizing the test outcomes - Include statistics such as total tests run, number of passes, failures, and skipped tests - Allow users to export the test report in formats like HTML or PDF Suggested Features: - Support for multiple test frameworks (e.g., unittest, pytest) - Integration with popular CI/CD tools for automated testing - Graphical user interface for easier interaction - Email notifications upon completion of test runs How to Utilize 'ModuleTester': - Use 'ModuleTester' to dynamically discover and load test cases from specified directories - Leverage its capabilities to run tests under different conditions (e.g., with coverage analysis) - Employ 'ModuleTester' to parse test outputs and extract relevant information for reporting purposes