adobepy

v0.1.0 safe
3.0
Low Risk

Python SDK and broker contracts for controlling Adobe desktop hosts through UXP and CEP bridges.

πŸ€– AI Analysis

Final verdict: SAFE

The package shows low risk across multiple categories with no evidence of malicious activities or supply-chain attacks.

  • Low network risk due to potential lack of input validation.
  • No signs of shell execution, obfuscation, or credential harvesting.
Per-check LLM notes
  • Network: The observed network calls are likely intended for legitimate API interactions, but the absence of input validation could introduce risks.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • de("utf-8") request = urllib.request.Request(f"{self.broker_url}{path}", data=body, headers=self.
  • tr) -> Any: request = urllib.request.Request(f"{self.broker_url}{path}", headers=self._headers(),
  • def _open_json(self, request: urllib.request.Request) -> Any: try: with urllib.reques
  • try: with urllib.request.urlopen(request, timeout=self.timeout) as response:
βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

No author email provided

βœ“ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released β€” brand new package
  • Author "adobepy contributors" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with adobepy
Create a desktop application named 'AdobeTaskMaster' using Python and the 'adobepy' package. This app aims to streamline workflow management for Adobe Creative Cloud users by automating tasks such as opening specific documents, executing scripts within Adobe applications, and managing Adobe desktop hosts. Here’s a step-by-step guide on how to build it:

1. **Setup Environment**: Begin by setting up your development environment. Install Python, ensure you have access to Adobe Creative Cloud applications, and install the 'adobepy' package along with any necessary dependencies.
2. **Design User Interface**: Design a simple yet intuitive user interface where users can select their Adobe application (e.g., Photoshop, Illustrator), choose a task (open a document, run a script, etc.), and input necessary parameters like file paths or script commands.
3. **Integration with 'adobepy'**: Use 'adobepy' to establish a connection with the selected Adobe application via UXP and CEP bridges. Ensure the application can communicate effectively with the Adobe host, allowing for seamless execution of tasks.
4. **Core Functionality**: Implement core functionalities such as opening a specified document, running predefined or custom scripts, and managing application settings. Utilize 'adobepy' to control these actions directly from the UI.
5. **Advanced Features**: Consider adding advanced features like logging actions performed, providing real-time feedback during task execution, and supporting multiple Adobe applications simultaneously.
6. **Testing and Validation**: Rigorously test the application across different Adobe applications and scenarios to ensure reliability and performance. Validate each feature to confirm its functionality and efficiency.
7. **Documentation and Deployment**: Document all steps involved in building 'AdobeTaskMaster', including setup instructions, usage guidelines, and troubleshooting tips. Prepare the application for deployment, ensuring it is packaged correctly for distribution.

This project leverages the power of 'adobepy' to automate repetitive tasks, enhance productivity, and provide a more efficient way of working with Adobe Creative Cloud applications.