alibabacloud-ros-tran

v0.26.0 suspicious
7.0
High Risk

Resource Orchestration Service Template Transformer.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high risks related to shell execution and moderate risks associated with network calls and obfuscation techniques. These factors combined suggest potential malicious intent, though there is no clear evidence of actual harmful behavior.

  • High risk from shell command execution
  • Moderate risk from network calls and obfuscation
Per-check LLM notes
  • Network: Network calls to external URLs might be used for legitimate purposes like fetching updates, but without context, they could indicate data exfiltration.
  • Shell: Executing arbitrary code via the shell is highly risky and can be indicative of malicious activities such as executing commands to establish backdoors or perform unauthorized actions.
  • Obfuscation: The usage of eval and string formatting with untrusted input suggests potential for code injection but may also be part of normal package functionality.
  • Credentials: No obvious patterns indicating credential harvesting were found.
  • Metadata: The maintainer has only one package and lacks a GitHub repository, which may indicate less transparency and community support.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (885 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 181 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • else: resp = requests.get(path_or_url) if resp.status_code != 200:
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • ts"]: prop_name = eval(elt["Key"]["Value"]) new_prop_path = f"{prop_pat
⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • n("asty go2json", input=code, shell=True, stdout=f) if p.returncode != 0:
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: list.alibaba-inc.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AlibabaCloud" 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 alibabacloud-ros-tran 
Your task is to develop a fully-functional mini-application called 'TemplateTransformer' using the Python package 'alibabacloud-ros-tran'. This application will serve as a powerful tool for developers working with Alibaba Cloud's Resource Orchestration Service (ROS), allowing them to transform and manage their infrastructure templates more efficiently.

#### Project Overview:
- **Name:** TemplateTransformer
- **Purpose:** To provide a user-friendly interface for transforming and managing ROS templates.
- **Features:**
  - **Template Transformation:** Allow users to input a ROS template and specify transformation parameters. The app will use 'alibabacloud-ros-tran' to perform the transformation based on these parameters.
  - **Template Validation:** Before transformation, the app will validate the input template against predefined rules to ensure it's in a correct format.
  - **Transformation History:** Maintain a history of transformations performed by each user, including details like date, time, input template, transformation parameters, and output template.
  - **User Interface:** Develop a simple web-based UI where users can upload templates, specify transformation parameters, view validation results, and see the transformation history.

#### How 'alibabacloud-ros-tran' Will Be Utilized:
- **Template Transformation Functionality:** Use the core functionalities provided by 'alibabacloud-ros-tran' to handle the actual transformation of ROS templates. This includes parsing the input template, applying specified transformations, and generating the transformed output.
- **Error Handling:** Implement robust error handling to catch any issues during the transformation process and provide meaningful feedback to the user.
- **Integration with Web UI:** Ensure seamless integration between the web UI and the backend functionality provided by 'alibabacloud-ros-tran', allowing for real-time interaction and feedback.

#### Development Steps:
1. **Setup Environment:** Set up a Python development environment with 'alibabacloud-ros-tran' installed.
2. **Backend Development:** Develop the backend logic for template transformation, validation, and history management using 'alibabacloud-ros-tran'.
3. **Frontend Development:** Build a simple web UI using HTML/CSS/JavaScript for interacting with the backend.
4. **Testing:** Thoroughly test the application to ensure all features work as expected.
5. **Deployment:** Deploy the application to a cloud service provider for public access.

This project not only leverages the power of 'alibabacloud-ros-tran' but also provides a practical example of integrating cloud services into real-world applications.

💬 Discussion Feed

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