aws-sdk-s3

v0.2.1 suspicious
5.0
Medium Risk

Python SDK for Amazon S3.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, and obfuscation activities, but it lacks essential metadata like the maintainer's name and a GitHub repository, raising concerns about its origin and reliability.

  • Lack of maintainer information and GitHub repository
  • Unusual absence of network calls for an AWS SDK package
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for an AWS SDK package that typically interacts with S3.
  • Shell: No shell execution patterns detected, reducing the risk of potential command injection or backdoor activities.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: The observed code is likely part of normal AWS SDK functionality for fetching credentials.
  • Metadata: The package lacks a maintainer's name and GitHub repository, suggesting potential unreliability.

📦 Package Quality Overall: Low (4.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3966 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

  • Classifier: Typing :: Typed
  • 328 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

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 10.0

Found 6 credential access pattern(s)

  • -> Credentials: ak = os.environ.get("AWS_ACCESS_KEY_ID") sk = os.environ.get("AWS_SECRET_ACCE
  • _ACCESS_KEY_ID") sk = os.environ.get("AWS_SECRET_ACCESS_KEY") if not ak or not sk:
  • ret_key": sk} token = os.environ.get("AWS_SESSION_TOKEN") if token: out["session_t
  • self._profile = profile or os.environ.get("AWS_PROFILE", "default") self._cred_file = credentials_f
  • als_file or Path( os.environ.get("AWS_SHARED_CREDENTIALS_FILE") or Path.home() / ".aws
  • fig_file or Path( os.environ.get("AWS_CONFIG_FILE") or Path.home() / ".aws" / "config" )
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 aws-sdk-s3 
Create a Python-based file management utility that interacts with Amazon S3 using the 'aws-sdk-s3' package. This utility should allow users to perform common file operations such as uploading files to S3 buckets, downloading files from S3 buckets, listing all files in a specified bucket, deleting files from a bucket, and renaming files within the bucket. Additionally, implement a feature that allows users to filter and display files based on their last modified date or file size. The application should also include error handling for common AWS S3 errors like invalid credentials, missing permissions, or non-existent objects. To make the utility more user-friendly, design a simple command-line interface (CLI) that accepts user inputs and displays results in a readable format. Ensure that the application securely handles AWS access keys and secrets, possibly by prompting the user to input them manually or by reading them from a secure environment variable.

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