amazon-s3-encryption-client-python

v4.0.0 suspicious
4.0
Medium Risk

This library provides an S3 client that supports client-side encryption.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low signs of typical malicious activity but has moderate metadata risk due to low maintainer activity and poor metadata quality, raising concerns about its reliability and potential for supply-chain attacks.

  • Moderate metadata risk
  • Low maintainer activity
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for an S3 encryption client.
  • Shell: No shell execution patterns detected, aligning with the expected behavior of a benign package.
  • Obfuscation: The use of base64 encoding is common for handling binary data in Python and does not necessarily indicate malicious intent.
  • Credentials: No patterns indicative of credential harvesting were detected in the provided code snippets.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, which could indicate potential risk.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 35 test file(s) found

  • Test runner config found: pyproject.toml
  • 35 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 7.0

Some documentation present

  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3277 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 27 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

  • """ message_id = base64.b64decode(metadata.message_id_v3) stored_commitment = base64.b
  • ) stored_commitment = base64.b64decode(metadata.key_commitment_v3) ##= specification/s3-en
  • erials.""" iv_bytes = base64.b64decode(iv_b64) edk_bytes = base64.b64decode(edk_b64)
  • e(iv_b64) edk_bytes = base64.b64decode(edk_b64) encrypted_data_key = EncryptedDataKey(
  • rials.""" edk_bytes = base64.b64decode(metadata.encrypted_data_key_v3) # Map V3 compressed
  • t(b"test") iv_bytes = base64.b64decode(meta["x-amz-iv"]) assert len(iv_bytes) == 12 de
✓ 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: amazon.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 amazon-s3-encryption-client-python 
Create a simple but powerful file management tool using Python that integrates with Amazon S3 for secure storage. Your application will allow users to upload files to their S3 bucket while ensuring they are encrypted on the client side before being sent to the server. Utilize the 'amazon-s3-encryption-client-python' package to handle all encryption processes seamlessly. Here’s what your app should include:

1. User Authentication: Implement a basic authentication system where users can create accounts and log in securely.
2. File Upload: Users should be able to select files from their local machine and upload them to their designated S3 bucket.
3. Client-Side Encryption: Use the 'amazon-s3-encryption-client-python' package to encrypt files on the user's device before uploading. Ensure that the encryption keys are managed securely and not exposed.
4. File Listing: After successful uploads, users should be able to view a list of all files stored in their S3 bucket through your application.
5. Download and Decryption: Allow users to download files from their S3 bucket back to their local machine. Upon downloading, ensure that the files are decrypted automatically using the same encryption keys.
6. Security Measures: Incorporate additional security measures such as logging out after a period of inactivity and protecting sensitive data during transmission.
7. User Interface: Develop a clean, intuitive user interface using a framework like Tkinter for desktop applications or Flask for web-based applications.

This project aims to demonstrate the practical use of client-side encryption in cloud storage solutions, ensuring that even during the upload/download process, user data remains protected.

💬 Discussion Feed

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