🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to its high obfuscation level and lack of detailed metadata, despite showing low risks in other categories.

High obfuscation risk (7/10)
Lack of maintainer information and single package on PyPI

Per-check LLM notes

Network: No network calls detected, which is low risk.
Shell: Shell executions seem to be checking versions of browser tools and finding Python files, which could be benign if the package interacts with web UIs.
Obfuscation: The obfuscation pattern appears to be an attempt to dynamically import modules which could be used for hiding malicious code.
Credentials: No clear patterns of credential harvesting detected.
Metadata: The package shows some red flags such as lack of maintainer information and a single package on PyPI, but no clear signs of typosquatting or malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

les: try: __import__(f"src.{mod}") _check(f"src.{mod}", True) except Impor

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

yyaml") try: r = subprocess.run(["agent-browser", "--version"], capture_output=True, text=Tr
str(e)) try: r = subprocess.run(["google-chrome", "--version"], capture_output=True, text=Tr
try: r = subprocess.run(["chromium", "--version"], capture_output=True, text=True, t
(__file__))) result = subprocess.run( f"find {_project_root}/src -name '*.py' | xargs
lit()[0] file_count = subprocess.run( f"find {_project_root}/src -name '*.py' | wc -l
wc -l | tail -1", shell=True, capture_output=True, text=True ) line_coun

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: example.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

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 agent-for-webui-test

构建一个名为"AutoTestExplorer"的自动化Web UI测试工具。此工具旨在简化Web应用程序的测试流程，通过使用Python包'agent-for-webui-test'来实现。你的任务是创建一个用户友好的界面，允许用户输入他们想要测试的网站URL，然后自动执行一系列测试用例，包括但不限于点击按钮、填写表单、检查页面加载速度等。

具体步骤如下：
1. 开发一个简单的网页前端，允许用户输入要测试的网站URL，并选择希望执行的具体测试类型（如表单提交测试、页面响应时间测试等）。
2. 使用'agent-for-webui-test'包来接收这些指令，并根据用户的请求自动生成测试用例。
3. 实现一个后端服务，该服务将解析用户的请求，调用'agent-for-webui-test'中的相应功能，执行测试，并收集结果。
4. 测试完成后，后端应将结果返回给前端，前端负责以易于理解的方式展示测试结果，比如通过图表显示性能指标，或列出所有失败的测试案例。
5. 确保整个应用能够处理错误情况，例如无效的URL或网络问题，并能提供相应的反馈给用户。

建议特性：
- 支持多种类型的测试用例，如表单验证、链接检查、响应时间测量等。
- 提供实时进度更新，让用户知道测试执行的状态。
- 在测试过程中，能够捕捉并记录异常情况和错误信息。
- 允许用户导出测试结果为CSV或PDF格式，以便进一步分析。
- 设计一个简洁直观的用户界面，使得非技术背景的用户也能轻松上手。

在开发过程中，请确保充分利用'agent-for-webui-test'的核心功能，如自动探索、用例生成、执行和结果判定，以提高项目的效率和准确性。