AI Analysis
Final verdict: SAFE
Based on the analysis notes, there is no indication of obfuscation or credential harvesting, which significantly reduces the likelihood of this package being involved in any malicious activities or supply-chain attacks.
- No obfuscation patterns detected
- No credential harvesting patterns detected
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secret or sensitive information.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
t httpx self.client = httpx.AsyncClient(timeout=httpx.Timeout(30.0)) # Start SSE stream as b
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 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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-conformance
Your task is to develop a mini-application that serves as a testing utility for the Agent Accessibility Event Protocol (AAEP). This application will utilize the 'aaep-conformance' package to validate the compliance of AAEP implementations against a set of predefined standards and tests. Your goal is to create a user-friendly interface where users can input details of their AAEP implementation, run conformance tests, and receive detailed reports on the results. Here are the steps and features you need to implement: 1. **Setup**: Begin by installing the 'aaep-conformance' package using pip. Ensure your application is compatible with Python 3.8 or higher. 2. **User Interface**: Design a simple command-line interface (CLI) or a basic web interface where users can input the necessary information about their AAEP implementation. 3. **Test Configuration**: Allow users to select which specific tests they want to run from the suite provided by 'aaep-conformance'. Include options for running all tests or a subset based on categories like functionality, performance, etc. 4. **Execution**: Implement the logic to execute the selected tests using the 'aaep-conformance' package. Ensure that the application handles errors gracefully and provides informative feedback during the execution process. 5. **Reporting**: After the tests have been executed, generate a comprehensive report detailing the outcomes. This report should include pass/fail status for each test, any relevant error messages, and suggestions for improvement where applicable. 6. **Integration Testing**: Finally, integrate a feature that allows for automatic integration testing with continuous integration/continuous deployment (CI/CD) systems such as GitHub Actions or Jenkins. This ensures that AAEP implementations remain compliant over time. This project aims to provide developers and QA teams with a powerful tool to ensure their AAEP implementations meet the required standards, thereby enhancing accessibility and reliability in their applications.