authy-package

v0.1.12 suspicious
4.0
Medium Risk

Generic robust authentication system

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential misuse, particularly in shell command execution and the use of environment variables for AWS credentials, though these might be legitimate. The low obfuscation risk slightly mitigates concerns.

  • shell risk due to command execution
  • credential risk from AWS environment variable usage
Per-check LLM notes
  • Network: The network calls appear to be part of normal client initialization and session management, possibly for authentication purposes.
  • Shell: Executing commands like 'aws', 'gcloud', and 'kubectl' may be legitimate if the package is designed to interact with cloud services or Kubernetes clusters, but it could also indicate an attempt to gather system information or execute unauthorized actions.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: Detected usage of environment variables for AWS credentials which may be legitimate but requires verification of the context and necessity.
  • Metadata: The maintainer has a single package and the repository lacks community engagement, which may indicate a new or less active account.

📦 Package Quality Overall: Medium (5.0/10)

○ 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 (26067 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 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 443 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 67 commits in MuhibNayem/auth-manager
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • d: self._client = httpx.AsyncClient(timeout=self.config.timeout_seconds) return self._cl
  • self._client = httpx.AsyncClient( timeout=self.config.timeout_seconds,
  • indicator.""" async with aiohttp.ClientSession() as session: with Progress( SpinnerColu
  • cess token async with aiohttp.ClientSession() as session: token_url = f'https://{self.domain
  • 0 async with aiohttp.ClientSession() as session: while True: url =
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • CLI try: result = subprocess.run(['aws', '--version'], capture_output=True, text=True)
  • oud try: result = subprocess.run(['gcloud', '--version'], capture_output=True, text=True)
  • ctl try: result = subprocess.run(['kubectl', 'version', '--client'],
⚠ Credential Harvesting score 10.0

Found 6 credential access pattern(s)

  • , region_name=os.getenv("AWS_REGION"), user_pool_id=os.getenv("COGNITO_US
  • ), aws_region=os.getenv("AWS_REGION"), aws_sender_id=os.getenv("AWS_SNS_S
  • aws_sender_id=os.getenv("AWS_SNS_SENDER_ID"), code_length=int(os.getenv("
  • 4. Shared Credentials File (~/.aws/credentials) - Local dev only 5. AWS SSO / Process credentials - Ente
  • 3. Shared credentials file (~/.aws/credentials) 4. Config file (~/.aws/config) 5. Assume R
  • " - Or create ~/.aws/credentials file\n" " 🔗 Cross-Account: Use role_arn i
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "A K M Muhibullah Nayem" 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 authy-package 
Develop a secure user management system using Python, leveraging the 'authy-package' for robust authentication. This system will allow users to sign up, log in, and manage their accounts securely. Here’s a step-by-step guide on how to build this mini-application:

1. **Setup Project**: Initialize a new Python project. Install necessary dependencies including Flask for the web framework and 'authy-package' for authentication.
2. **User Registration**: Implement a registration feature where users can sign up by providing their email, username, and password. Use 'authy-package' to generate and verify one-time passwords (OTPs) for account verification.
3. **Login Functionality**: Create a login page allowing users to authenticate themselves using their credentials. Integrate 'authy-package' to enable two-factor authentication (2FA) for added security.
4. **Account Management**: Provide options for users to view and update their profile information. Ensure that any changes to sensitive data require re-authentication via OTPs sent through 'authy-package'.
5. **Password Reset**: Implement a password recovery feature where users can request a password reset. Use 'authy-package' to send verification codes to the user's registered email or phone number.
6. **Security Enhancements**: Utilize 'authy-package' to monitor login attempts and detect potential security threats such as brute force attacks. Implement rate limiting and IP blocking mechanisms based on 'authy-package' insights.
7. **Testing & Deployment**: Thoroughly test all functionalities of your application. Deploy it to a cloud service provider ensuring that all user data is securely managed according to best practices.

Throughout development, focus on integrating 'authy-package' effectively to ensure that your application not only meets but exceeds basic security standards.

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