aaep-tools

v1.0.0 suspicious
5.0
Medium Risk

Command-line tools for the Agent Accessibility Event Protocol: validate, capture, and replay event streams

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is considered suspicious due to the combination of a new repository, limited maintainer history, and an insecure link, despite having no detected shell execution patterns.

  • Metadata risk is high due to the repository being new and the maintainer having limited history.
  • An insecure link is present within the package metadata.
Per-check LLM notes
  • Network: The presence of network calls is not unusual for a tool-oriented package, but the nature and frequency of these calls should be reviewed to ensure they are legitimate.
  • Shell: No shell execution patterns were detected.
  • Metadata: The repository is new, the maintainer has limited history, and there's an insecure link present.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • try: async with httpx.AsyncClient(timeout=httpx.Timeout(None, connect=10.0)) as client:
✓ 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 score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://prod.example.com
⚠ 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 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 aaep-tools 
Your task is to develop a user-friendly command-line tool named 'AAEPStreamAnalyzer' using the Python package 'aaep-tools'. This tool will serve as a comprehensive utility for managing event streams according to the Agent Accessibility Event Protocol (AAEP). The application should allow users to validate, capture, and replay event streams directly from their command line interface.

### Core Features:
1. **Validation**: Users should be able to input an event stream file and have the tool validate it against AAEP standards. The output should clearly indicate whether the event stream is valid or not, along with any specific errors found.
2. **Capture**: Implement a feature that allows real-time capturing of event streams from a specified source. This could be from a live system feed or a predefined set of events.
3. **Replay**: Provide functionality to replay captured event streams for testing or debugging purposes. Users should be able to specify the speed at which events are replayed.

### Additional Features:
- **Interactive Mode**: Allow users to interactively modify event streams before validation or replay.
- **Logging**: Implement logging for all operations performed by the tool to help with troubleshooting and auditing.
- **Help Documentation**: Include detailed documentation accessible via command-line options to guide users on how to use each feature effectively.

### Utilization of 'aaep-tools':
- Use the 'validate' sub-package of 'aaep-tools' to perform validation checks on event streams.
- For capturing event streams, utilize the 'capture' module provided by 'aaep-tools', ensuring you document any necessary configurations or prerequisites.
- When implementing replay functionality, leverage the 'replay' capabilities within 'aaep-tools', allowing for customization of replay speeds if possible.

Your goal is to create a versatile, efficient, and user-friendly tool that simplifies working with AAEP event streams. Ensure your application is well-documented and includes examples of how to use each feature.