AI Analysis
The package shows moderate risks due to potential code obfuscation and unsafe execution practices, but lacks clear indicators of malicious intent.
- High shell risk due to subprocess.run usage
- Moderate obfuscation risk from base64 decoding and eval function
Per-check LLM notes
- Network: The network call to localhost suggests internal health checks and is not indicative of external data exfiltration or C2 communication.
- Shell: Executing shell commands via subprocess.run can be risky if not properly sanitized or controlled, especially when interacting with external tools like npx. This could potentially lead to unintended actions or vulnerabilities.
- Obfuscation: The use of base64 decoding and eval function suggests potential code obfuscation or execution of arbitrary code, which is risky.
- Credentials: No direct evidence of credential harvesting is found, but the presence of eval could potentially be exploited for such purposes.
- Metadata: The maintainer has only one package, which might indicate a new or less active account, but there are no other red flags.
Package Quality Overall: Medium (7.0/10)
Test suite present β 1 test file(s) found
Test runner config found: pyproject.toml1 test file(s) detected (e.g. test_bridge.py)
Some documentation present
Documentation URL: "Documentation" -> https://praisonai.com/docs/aiuiDetailed PyPI description (10578 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
328 type-annotated function signatures detected in source
Active multi-contributor project
5 unique contributor(s) across 100 commits in MervinPraison/PraisonAIUIActive community β 5 or more distinct contributors
Heuristic Checks
Found 2 network call pattern(s)
try: return httpx.get("http://localhost:7860/aiui/health", timeout=2).json()None: _http_client = httpx.AsyncClient( timeout=httpx.Timeout(30.0), limits
Found 3 obfuscation pattern(s)
attachment_manager raw = base64.b64decode(b64_json, validate=True) mgr = get_attachment_manager()result = eval(expression) return f"Result: {result}"result = eval(compile(tree, "<calc>", "eval")) ret
Found 4 shell execution pattern(s)
w]") try: subprocess.run( ["npx", "-y", "create-vite@latest", "fronte# Install shadcn subprocess.run( ["npx", "-y", "shadcn@latest", "init", "-d"uild result = subprocess.run( [ "aiui",() try: result = subprocess.run( ["npx", "shadcn@latest", "add", name, "--yes",
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository MervinPraison/PraisonAIUI appears legitimate
1 maintainer concern(s) found
Author "Mervin Praison" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to create a simple yet powerful web content management system (CMS) using the 'aiui' Python package. This CMS will allow users to manage their website content without needing to know HTML or CSS. The goal is to streamline the process of creating and updating website pages through a user-friendly YAML-based configuration system. Hereβs a detailed breakdown of the project requirements and features: 1. **Project Overview**: Develop a CMS named 'YAMLsite' which allows users to create, edit, and publish static websites directly from a YAML file. The application should compile these YAML files into fully functional HTML pages. 2. **Core Features**: - **Content Management**: Users should be able to define multiple pages (e.g., Home, About Us, Contact) within a single YAML file. Each page should have its own title, description, and content blocks. - **Styling**: Provide basic styling options via YAML, allowing users to set global styles such as fonts, colors, and layouts without needing to write CSS. - **Deployment**: The CMS should offer a feature to automatically deploy the compiled HTML files to a specified directory or even a remote server (if possible). - **Preview**: Implement a preview function that shows users how their YAML configurations will look as HTML before final deployment. 3. **Utilizing 'aiui' Package**: - Use 'aiui' to parse the YAML configuration files and generate corresponding HTML files based on the specifications provided in the YAML. - Leverage 'aiuiβ capabilities to handle different types of content blocks (text, images, links) within the YAML files, ensuring they are correctly translated into HTML. - Integrate 'aiui' functionalities to apply styling options defined in YAML directly onto the generated HTML. 4. **Development Process**: - Start by setting up your development environment and installing the necessary packages, including 'aiui'. - Design the structure of your YAML file, deciding on the key-value pairs needed for defining pages and styles. - Write the core logic for parsing YAML and generating HTML using 'aiui', focusing on accuracy and efficiency. - Implement additional features like previews and deployment as outlined above. - Test your application thoroughly with various YAML configurations to ensure robustness and reliability. 5. **Deliverables**: - A fully functional 'YAMLsite' application capable of managing static websites through YAML. - Documentation explaining how to use 'YAMLsite' and the role of 'aiui' in the process. - Sample YAML configurations and their corresponding HTML outputs for demonstration purposes.
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