🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits signs of potential code obfuscation through the use of eval and repr, raising concerns about hidden malicious activities. However, it does not engage in network calls, shell executions, or credential harvesting, reducing immediate threat levels.

Obfuscation risk due to eval and repr usage
Maintainer has only one package, suggesting possible new or less active account

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: The use of eval and repr indicates potential code obfuscation which could be used to hide malicious activities.
Credentials: No clear patterns of credential harvesting detected.
Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

teredFile(wip) assert eval(repr(rf)) assert isinstance(eval(repr(rf)), Register
f)) assert isinstance(eval(repr(rf)), RegisteredFile) assert eval(repr(rf)) ==
egisteredFile) assert eval(repr(rf)) == rf def test_empty_kwargs(self): wi

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.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 "AndiEcker" 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 ae-files

Create a Python-based desktop utility named 'FileMender' that streamlines file management tasks using the 'ae-files' package. FileMender should offer users a simple yet powerful way to organize their files and folders efficiently. Here are the key functionalities you need to implement:

1. **File and Folder Search**: Users should be able to search for specific files or folders within a specified directory. The utility should support advanced search options like searching by file type, date modified, and file size.
2. **File Mover**: Implement a feature that allows users to move selected files or folders from one directory to another. This should include the ability to create new directories if they don't exist.
3. **File Organizer**: Create an automatic file organization system where users can set rules for organizing files. For example, moving all image files into a 'Pictures' folder, documents into a 'Documents' folder, etc.
4. **Backup Tool**: Integrate a backup function that allows users to back up selected files or entire directories to a specified location, such as another directory on the same machine or an external drive.
5. **User Interface**: While primarily command-line driven, consider adding a basic GUI interface using a library like Tkinter for a more user-friendly experience.

Utilize the 'ae-files' package to handle the underlying operations related to file and directory manipulation. This includes but is not limited to creating, reading, updating, and deleting files and directories. Ensure that your application is robust and handles errors gracefully, providing meaningful feedback to the user when something goes wrong.

Your task is to design and implement this utility from scratch, ensuring it's well-documented and easy to use. Focus on leveraging the capabilities of the 'ae-files' package to perform these operations efficiently and effectively.