🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to high shell execution risk and potential metadata issues, suggesting possible vulnerabilities or malicious intent.

High shell risk indicating potential system integrity threats
Suspicious metadata including a non-HTTPS link and a new maintainer account

Per-check LLM notes

Network: Network calls to remote endpoints for status checks and user authentication may be legitimate, but their necessity depends on the package's intended functionality.
Shell: Executing shell commands can pose significant risks if not properly sanitized or controlled, especially considering potential impact on system integrity and security.
Metadata: Suspicious non-HTTPS link and new maintainer account suggest potential risk but lack of clear indicators of compromise prevents definitive conclusion.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

: try: response = requests.get(f"{base_url}/bootstrap/status", timeout=10) except reque
'Password: ') response = requests.post( f"{base_url}/users/login", json={"email": e
try: response = requests.get(f"{base_url}/health", timeout=2) if response.ok:

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

s log_file: process = subprocess.Popen( cmd, cwd=str(project_root()),

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

password = args.password or getpass.getpass('Password: ') response = requests.post( f"{base

✓ 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://127.0.0.1:8002

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Vaibhav Ahluwalia" 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 agentauthlayer

Create a mini-application called 'SecureChat' that leverages the 'agentauthlayer' package for secure messaging between users. This application will serve as a basic platform where users can sign up, log in, and send encrypted messages to each other. Here’s how you can approach building it:

1. **User Registration**: Implement a registration system where new users can create an account by providing a username and password. Use 'agentauthlayer' to securely store user credentials.
2. **Login System**: Develop a login feature allowing registered users to authenticate themselves using their credentials. Ensure that the authentication process is handled securely by 'agentauthlayer'.
3. **Message Encryption**: When a user sends a message, use 'agentauthlayer' to encrypt the message before sending it to the recipient. Only the intended recipient, who is authenticated through 'agentauthlayer', should be able to decrypt and read the message.
4. **User Interface**: Design a simple yet intuitive UI for users to interact with. It should allow them to view their inbox, compose new messages, and manage their accounts.
5. **Security Features**: Enhance security by adding features such as session management, rate limiting on login attempts, and ensuring all communications between the client and server are over HTTPS.
6. **Testing**: Thoroughly test the application to ensure that all parts of the 'agentauthlayer' package are functioning correctly, including encryption and decryption of messages.

Suggested additional features include the ability to report abusive messages, a notification system for new messages, and integration with social media platforms for easier sharing of the app. Utilize 'agentauthlayer' throughout the development process to ensure that all data transmissions and user interactions are protected.