AI Analysis
Final verdict: SUSPICIOUS
The package exhibits moderate network risk due to its ability to communicate externally, which could be used for data exfiltration or command and control activities. However, other risks such as shell execution, obfuscation, and credential harvesting are minimal.
- Moderate network risk
- Single package from maintainer
Per-check LLM notes
- Network: The presence of network call patterns suggests potential for external communication which may indicate data exfiltration or C2 activities.
- Shell: No shell execution patterns detected, suggesting lower risk of direct system command execution.
- Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating no immediate threat to secrets or credentials.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (3.2/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (846 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
151 type-annotated function signatures detected in source
○ 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
score 1.5
Found 1 network call pattern(s)
ocket to the endpoint socket.connect(endpoint) return socket @property def clie
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: acute.com.tw>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Acute Technology, Eric Tsai, Luke Silva, Duke" 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 aqpxlib
Your task is to create a Python-based mini-application named 'AcuteProtocolTester' using the 'aqpxlib' library. This application will serve as a protocol testing tool designed to simulate various network conditions and test the resilience of communication protocols. Here’s a detailed breakdown of what your application should accomplish: 1. **Setup and Initialization**: Begin by installing the 'aqpxlib' package if it isn't already installed. Ensure your application initializes properly and imports all necessary modules from 'aqpxlib'. Use comments to describe each section of your code. 2. **User Interface**: Design a simple command-line interface (CLI) that allows users to select different types of tests they wish to perform on their communication protocols. These tests could include latency tests, packet loss simulations, and bandwidth throttling. 3. **Test Configuration**: Implement a feature within your application where users can configure specific parameters for their tests. For example, users should be able to specify the duration of the test, the type of traffic to simulate, and the expected outcome metrics (e.g., throughput, delay). 4. **Execution of Tests**: Utilize 'aqpxlib' to execute the configured tests. This involves setting up simulated network environments according to user specifications and running the chosen tests under these conditions. Document how 'aqpxlib' functions are called and what arguments are passed to them. 5. **Result Analysis**: After executing the tests, your application should analyze the results and present them in a readable format. Include metrics such as average latency, packet loss percentage, and throughput rate. Consider adding visual elements like graphs or charts to make the data more accessible. 6. **Reporting**: Allow users to generate reports from their test results. Reports should be exportable in formats such as CSV or PDF. Ensure that the reports are comprehensive and include all relevant test details and outcomes. 7. **Documentation and Help**: Provide clear documentation within your application that explains how to use each feature. Include a help menu or command that lists all available commands and options. 8. **Testing and Validation**: Finally, write unit tests for your application to ensure that all functionalities work as expected. Validate your application by performing several rounds of testing under different scenarios and conditions. By completing this project, you will not only demonstrate proficiency in Python programming but also gain valuable experience in network simulation and protocol testing. Remember to leverage the capabilities of 'aqpxlib' throughout the development process to enhance the functionality and realism of your tests.