alibabacloud-maasaisearchproxy20260424

v2.1.0 suspicious
5.0
Medium Risk

Alibaba Cloud MaasAISearchProxy (20260424) SDK Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows unusual obfuscation techniques that are not typically seen in legitimate software, raising concerns about potential hidden behaviors or malicious intent.

  • Unusual obfuscation techniques
  • Single package from author, possibly new or less active account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: The obfuscation technique used is not typical for legitimate purposes and may indicate an attempt to hide code behavior.
  • Credentials: No suspicious patterns for credential harvesting were detected.
  • Metadata: The author has only one package, which may indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Low (4.4/10)

○ 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 (1227 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 14 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in aliyun/alibabacloud-python-sdk
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • bacloud-python-sdk" VERSION = __import__(PACKAGE).__version__ REQUIRES = [ "darabonba-core>=1.0.0, <2.0.0
✓ 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: alibabacloud.com

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
✓ Git Repository History

Repository aliyun/alibabacloud-python-sdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Alibaba Cloud SDK" 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-maasaisearchproxy20260424 
Create a Python-based mini-application named 'AIContentSearcher' that leverages the 'alibabacloud-maasaisearchproxy20260424' SDK library to perform advanced content search operations on a dataset of multimedia files (images, videos, audio clips). The application should allow users to upload a multimedia file and specify a query to find similar content within a predefined dataset. Here's a detailed breakdown of the steps and features your project should include:

1. **Setup**: Begin by installing the necessary Python packages including 'alibabacloud-maasaisearchproxy20260424', 'Pillow' for image handling, and any other dependencies required for managing multimedia files.

2. **Configuration**: Configure your application to connect to the MaasAISearchProxy service using the provided SDK. Ensure you have the necessary credentials and setup a secure way to handle these credentials.

3. **User Interface**: Develop a simple yet user-friendly interface where users can upload their multimedia file. This could be a command-line interface or a basic web interface if you're comfortable with frameworks like Flask or Django.

4. **File Processing**: Implement functionality to preprocess the uploaded file before sending it to the MaasAISearchProxy service. This might involve converting images to a standard format or extracting relevant features from video/audio files.

5. **Query Execution**: Use the 'alibabacloud-maasaisearchproxy20260424' package to execute a search query against the predefined dataset. The query should be based on the uploaded file's content, aiming to find similar items in terms of visual/audio characteristics.

6. **Result Presentation**: Once the search is complete, present the results back to the user in a clear and understandable manner. Include options to view the found similar items directly through your application.

7. **Additional Features**: Consider adding extra functionalities such as filtering results based on specific criteria, saving frequently searched items, or even allowing users to tag and categorize their own dataset for future searches.

Your goal is to create a fully functional mini-app that demonstrates the power of the MaasAISearchProxy service for content-based search tasks. Make sure to document your code thoroughly and provide clear instructions on how to run the application.

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