AI Analysis
Final verdict: SUSPICIOUS
The package has low risks related to obfuscation and credential harvesting but is suspicious due to its metadata indicating it was recently created and maintained by an author with limited activity.
- Low obfuscation risk
- Low credential risk
- Metadata suggests recent creation and limited maintenance activity
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being newly created and maintained by an author with limited activity, raising concerns about potential malicious intent.
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
try: async with httpx.AsyncClient(timeout=httpx.Timeout(None, connect=10.0)) as client:p try: async with httpx.AsyncClient() as client: async def on_event(event: dict[str
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: izusoft.tech>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository created very recently: 4 day(s) ago (2026-06-01T19:52:23Z)
Repository created very recently: 4 day(s) ago (2026-06-01T19:52:23Z)
Maintainer History
score 8.0
4 maintainer concern(s) found
Only one version has ever been released — brand new packagePackage is very new: uploaded 1 day(s) agoAuthor 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 aaep-cli-debug
Create a fully-functional mini-application named 'EventStreamer' using the Python package 'aaep-cli-debug'. This application should serve as a user-friendly interface for debugging and monitoring event streams from a reference AAEP (Assurance and Assurance Enabling Platform) subscriber. Your task is to design and implement a command-line tool that subscribes to AAEP event streams, processes them, and outputs them in a human-readable format to the terminal. Step-by-Step Instructions: 1. Set up your development environment with Python 3.x and install the 'aaep-cli-debug' package via pip. 2. Define a main function that initializes the connection to the AAEP service and subscribes to the event stream. 3. Implement a method to process incoming events, ensuring they are formatted in a clear, structured manner before printing to the console. 4. Integrate error handling to manage disconnections, timeouts, and other potential issues gracefully. 5. Add command-line argument parsing to allow users to specify which event types or streams they wish to monitor. 6. Include logging functionality to record important events and errors to a log file for later analysis. 7. Finally, ensure your application runs continuously until manually stopped by the user. Suggested Features: - Support for filtering events based on type, source, or timestamp. - An option to save processed event data to a file in addition to printing it to the terminal. - A help menu that provides guidance on available commands and options. - Real-time statistics about the number of events received and processed. How to Utilize 'aaep-cli-debug': - Use the package's core feature of subscribing to AAEP event streams and printing them to the terminal. - Leverage any additional utilities provided by the package for formatting or processing the event data. - Explore the package documentation for more advanced usage and potential customization options.