azure-ai-translation-text

v2.0.0 safe
4.0
Medium Risk

Microsoft Corporation Azure Ai Translation Text Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows some signs of potential obfuscation but does not exhibit any clear malicious behaviors. The network calls are expected for Azure authentication, and there are no indications of shell execution or credential harvesting.

  • Base64 encoding and eval functions used
  • Incomplete author metadata
Per-check LLM notes
  • Network: The observed network call pattern is likely related to authenticating and obtaining an access token from Azure services, which is expected behavior for an Azure-related package.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The use of base64 encoding and eval functions may indicate obfuscation, but could also be legitimate for data serialization purposes.
  • Credentials: No clear patterns indicating credential harvesting were found.
  • Metadata: The author's information is incomplete and the author has only one package, which might indicate a less established or potentially suspicious account.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 11 test file(s) found

  • Test runner config found: conftest.py
  • 11 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (14106 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 259 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-python
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • **kwargs): response = requests.post(self.request_url) access_token = response.content.de
⚠ Code Obfuscation score 8.0

Found 4 obfuscation pattern(s)

  • return attr return bytes(base64.b64decode(attr)) def _deserialize_bytes_base64(attr): if isinsta
  • ce("_", "/") return bytes(base64.b64decode(encoded)) def _deserialize_duration(attr): if isinstan
  • _unicode(data) return eval(data_type)(data) # nosec @classmethod def serializ
  • _unicode(attr) return eval(data_type)(attr) # nosec @staticmethod def deseria
✓ 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: microsoft.com> license-expression: mit

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Azure/azure-sdk-for-python appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 azure-ai-translation-text 
Create a multilingual text translation app using Python and the 'azure-ai-translation-text' library. This application will allow users to input text in one language and select a target language for translation. The app should feature a simple graphical user interface (GUI) built with Tkinter, enabling users to interactively translate text between multiple languages supported by Azure AI Translation Text service. Additionally, the app should include the following functionalities:

1. A dropdown menu allowing users to select source and target languages from a list of available languages.
2. A text box where users can enter their input text.
3. A button to trigger the translation process.
4. A display area to show the translated text.
5. An option to save the translated text to a file in the desired format (e.g., .txt).
6. Error handling to manage cases where the entered text is too long or unsupported languages are selected.
7. Optional feature: Implement a history log that keeps track of previous translations, which can be reviewed or saved.

The 'azure-ai-translation-text' package will be utilized to handle the translation requests. Users will need to set up an Azure account, obtain an API key, and configure the app with their credentials before running it. The app should demonstrate best practices in integrating external APIs, including proper error handling and efficient resource management.

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