aws-advanced-python-wrapper

v3.0.0 safe
3.0
Low Risk

Amazon Web Services (AWS) Advanced Python Wrapper

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of malicious activity, with no shell execution, obfuscation, or credential harvesting. The network calls appear legitimate for interacting with AWS.

  • Low network risk
  • Single package from author
  • Legitimate AWS interaction
Per-check LLM notes
  • Network: The network call patterns indicate normal behavior for a package interacting with external services like AWS and Okta, suggesting legitimate API interactions.
  • Shell: No shell execution patterns detected, indicating low risk of executing arbitrary commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package on PyPI which may indicate a new or less active maintainer, but no other suspicious flags were detected.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/awslabs/aws-advanced-python-wrapper/docs/
  • Detailed PyPI description (27807 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

  • 678 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in awslabs/aws-advanced-python-wrapper
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • validate_url(url) r = requests.get(url, verify=WrapperProperties.SSL_S
  • validate_url(uri) r = requests.post(uri, data=urlencode(parameters), v
  • try: r = requests.post(session_token_endpoint, header
  • ionUrl", uri) r = requests.get(uri, params={OktaCredentialsPro
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://img.shields.io/pypi/v/aws-advanced-python-wrapper.svg?label=aws-advanced-
✓ Git Repository History

Repository awslabs/aws-advanced-python-wrapper appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Amazon Web Services" 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 aws-advanced-python-wrapper 
Create a fully-functional mini-application named 'CloudStorageManager' that leverages the 'aws-advanced-python-wrapper' package to manage AWS S3 buckets and objects efficiently. This application will serve as a user-friendly interface for uploading, downloading, listing, and deleting files from an S3 bucket. Additionally, it will include advanced features such as version control for objects, lifecycle management, and integration with AWS CloudWatch for logging purposes.

Step-by-step requirements:
1. Initialize the application by setting up necessary configurations including AWS credentials and specifying the target S3 bucket.
2. Implement a function to upload files to the specified S3 bucket. Ensure that the function supports multipart uploads for large files and allows users to enable/disable object versioning.
3. Develop a feature to list all objects within the bucket, displaying their names, sizes, last modified dates, and current versions if versioning is enabled.
4. Create functionality to download files from the bucket. Users should be able to specify which version of the file they wish to download if versioning is active.
5. Add a delete function that allows users to remove single or multiple files, optionally preserving previous versions.
6. Integrate AWS CloudWatch for logging all operations performed through the application, providing a history of actions taken.
7. Implement lifecycle management rules directly from the application, allowing users to set policies for object deletion based on age or storage class.
8. Ensure the application is well-documented, including setup instructions, configuration details, and usage examples.

Utilize the 'aws-advanced-python-wrapper' package throughout the development process to handle complex interactions with AWS services more easily and securely.

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