🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate risks due to shell execution and obfuscation techniques, which could indicate potential for malicious activities despite no clear evidence of actual harm.

Shell execution is present
Use of eval and obfuscated strings

Per-check LLM notes

Network: No network calls detected, which is typical and not indicative of malicious activity.
Shell: Shell execution is present but appears to be part of the intended functionality for parsing or executing commands. Further review of the package's purpose is recommended.
Obfuscation: The use of eval and obfuscated strings suggests potential for code injection or hiding malicious functionality.
Credentials: No clear patterns indicating credential harvesting were found.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising some suspicion but not definitive evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

= to_ask(tosca) fn = eval(result["svc"]["expression"]) assert fn({"host.num-cp
eqs.items(): fn = eval(entry["expression"]) assert callable(fn), (

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

try: result = subprocess.run( [PUCCINI_CMD, "parse", str(temp_file.name)]
mpletedProcess.""" return subprocess.run( ["sardou", *args], capture_output=True,

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: westminster.ac.uk>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with Sardou

Create a mini-application named 'ToscaOrchestrator' using the Python package 'Sardou', which is a library designed for working with TOSCA (Topology and Orchestration Specification for Cloud Applications). Your goal is to develop a tool that simplifies the creation, deployment, and management of cloud applications based on TOSCA templates. Here’s a step-by-step guide to building this application:

1. **Project Setup**: Initialize a new Python project and install the 'Sardou' package along with any necessary dependencies.
2. **Template Parsing**: Develop a feature that allows users to input or upload TOSCA YAML files. Use 'Sardou' to parse these templates and validate them against the TOSCA standard.
3. **Node Management**: Implement functionality to manage nodes within the parsed TOSCA template. This includes listing all nodes, their types, and properties.
4. **Deployment Simulation**: Create a simulation module that shows how the TOSCA template would be deployed. Use 'Sardou' to simulate the deployment process without actually deploying anything to the cloud.
5. **Customization Options**: Allow users to customize certain aspects of the TOSCA template, such as node properties or relationships, directly through the application interface.
6. **Validation Reports**: After parsing and customization, generate a detailed report that highlights any potential issues or warnings in the TOSCA template.
7. **Documentation**: Provide comprehensive documentation for both developers and end-users, explaining how to use the 'ToscaOrchestrator' application effectively.

Throughout the development process, focus on leveraging 'Sardou's capabilities to handle complex TOSCA templates efficiently. Ensure that your application is user-friendly and provides clear feedback at each step of the process.