🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to its network and shell execution behaviors, indicating potential vulnerabilities. Although there is no clear evidence of malicious intent, the low maintainer activity and poor metadata quality add to the overall suspicion.

Moderate network risk
High shell execution risk
Poor maintainer activity

Per-check LLM notes

Network: Network calls are made to external services which could be for legitimate purposes like API requests, but require further investigation into their endpoints and purpose.
Shell: Executing shell commands can be high risk if not properly sanitized or controlled, especially if these commands are influenced by user input or other untrusted sources.
Obfuscation: The obfuscation pattern is likely an attempt to make code analysis more difficult but does not indicate malicious activity.
Credentials: No credential harvesting patterns were detected.
Metadata: The package shows low maintainer activity and poor metadata quality, which could indicate potential risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

for the request with httpx.Client(timeout=60.0) as client: response = client.post(
} with httpx.Client(timeout=5.0) as client: response = client.ge
models" try: with httpx.Client(timeout=5.0, follow_redirects=True) as client: r

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

ake_import) math_module = __import__("math") assert math_module.__name__ == "math", "Fallback import

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

try: res = subprocess.run( [lms_path, "server", "status", "--json"],
try: res = subprocess.run( [lms_path, "daemon", "up", "--json"],

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: twardoch.com>

✓ 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 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 abersetz

Create a fully-functional mini-app called 'TranslatorTool' that utilizes the 'abersetz' package to translate entire directories of text and Markdown files into multiple languages. The app should have a simple graphical user interface (GUI) built with Tkinter. Here’s a detailed step-by-step guide on how the application should work:

1. **User Interface Setup**: Design a GUI where users can select the source directory containing files they wish to translate, choose the target language(s) from a dropdown menu, and specify the output directory.
2. **Directory Translation**: Once the user selects the 'Translate' button, the application should use 'abersetz' to scan through the selected directory, detect file formats, and automatically translate all supported files (text and Markdown) into the chosen language(s).
3. **Batch Processing**: Implement batch processing capabilities to handle large directories efficiently, ensuring that large documents are sliced appropriately for translation without losing context.
4. **Progress Tracking**: Add a progress bar or status updates to inform the user about the translation process.
5. **Error Handling**: Include robust error handling to manage issues such as unsupported file formats, network errors during translation, and ensure the original directory remains unchanged if any errors occur.
6. **Customization Options**: Offer customization options like preserving original file names or adding suffixes indicating the translated language.
7. **Logging and Reporting**: Implement logging for detailed records of each translation session and generate a report at the end summarizing the number of files processed, total words translated, and any encountered issues.
8. **Security Measures**: Ensure all user inputs and outputs are handled securely, avoiding any data leaks or unauthorized access.

This application should leverage the 'abersetz' package's ability to translate entire directories with minimal setup and maintain formatting integrity, making it a powerful tool for anyone needing to translate large volumes of text quickly and efficiently.