AI Analysis
The package exhibits behaviors that could be indicative of either legitimate functionality or malicious intent. The execution of 'whoami' and network calls raise concerns about user information gathering and tracking.
- Unusual network call patterns
- Execution of 'whoami' with additional parameters
Per-check LLM notes
- Network: The network call pattern suggests the package is attempting to look up the IP address, which could be for legitimate purposes like logging or geolocation services but might also indicate an attempt to track usage.
- Shell: Executing 'whoami' with additional parameters is unusual and may indicate an attempt to gather user information, suggesting potential misuse or unauthorized access.
- Obfuscation: The code snippet suggests the use of base64 decoding and cryptographic verification which could be part of legitimate authentication processes but also may indicate an attempt to obscure code functionality.
- Credentials: No clear evidence of credential harvesting is present based on the provided code snippet.
- Metadata: The maintainer has only one package, which could indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (2.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1929 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Found 2 network call pattern(s)
try: r = requests.get(Auth.IpLookupUrl, timeout=10, proxies={}) ip = (s + 1): session = requests.Session() session.hooks["response"].append(lambda r, *a,
Found 1 obfuscation pattern(s)
public_key.verify(base64.b64decode(signature), payload) return True except
Found 1 shell execution pattern(s)
try: out = subprocess.check_output( ["whoami", "/user", "/fo", "csv", "/nh"],
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "AuthlyX" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a user-friendly web-based dashboard using Flask that integrates with the AuthlyX API via the 'authlyx-api' Python package. This dashboard will allow users to manage their authentication settings, such as adding new authentication methods, updating existing ones, and viewing their current authentication status. The application should have the following core features: 1. User Registration and Login: Implement a registration system where users can sign up with their email and set a password. They should also be able to log in securely. 2. Two-Factor Authentication Setup: After logging in, users should be able to add two-factor authentication methods like SMS, email, or authenticator apps through the AuthlyX API. 3. Method Management: Provide options for users to view, enable, disable, or delete their two-factor authentication methods. 4. Status Check: Users should be able to check if they have any active two-factor authentication methods enabled. 5. Logout Functionality: Ensure users can securely log out of the system. To achieve these features, utilize the 'authlyx-api' package to interact with the AuthlyX API endpoints for managing authentication methods. For example, use the package to send requests to add a new method, retrieve a list of existing methods, update a method's status, and delete a method. Additionally, ensure the application handles errors gracefully and provides informative messages to users throughout their interaction with the dashboard.
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