PyJWT

v2.13.0 suspicious
7.0
High Risk

JSON Web Token implementation in Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant credential risk and moderate obfuscation risk, raising concerns about its legitimacy and potential misuse.

  • High credential risk due to inclusion of paths to sensitive files and URLs
  • Moderate obfuscation risk indicated by base64 decoding practices
Per-check LLM notes
  • Network: Network calls are likely used for fetching remote resources or verifying tokens, which is common for JWT packages.
  • Shell: No shell execution patterns detected.
  • Obfuscation: The use of base64 decoding for strings like 'Hello World!' suggests potential obfuscation but could be legitimate for various purposes including cryptographic operations.
  • Credentials: The inclusion of paths to sensitive files and URLs indicates a high risk of credential harvesting activities.
  • Metadata: The maintainer's author name is missing or very short and has only one package, which may indicate a new or inactive account.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • try: r = urllib.request.Request(url=self.uri, headers=self.headers) with
  • elf.headers) with urllib.request.urlopen( r, timeout=self.timeout, context=se
  • k.Mock]: with mock.patch("urllib.request.urlopen") as urlopen_mock: response = mock.Mock()
  • k.Mock]: with mock.patch("urllib.request.urlopen") as urlopen_mock: urlopen_mock.side_effect
⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

  • "Hello World!" sig = base64.b64decode( b"yS6zk9DBkuGTtcBzLUzSpo9gGJxJFOGvUqN01iLhWHrzB
  • ng a known byte sig = base64.b64decode( b"AC+m4Jf/xI3guAC6w0w37t5zRpSCF6F4udEz5LiMiTIjC
  • "Hello World!" sig = base64.b64decode(b"AC+m4Jf/xI3guAC6w0w3") with open(key_path("testke
  • lo World!" jwt_sig = base64.b64decode( b"ywKAUGRIDC//6X+tjvZA96yEtMqpOrSppCNfYI7NKyon3
  • world expected_sig = base64.b64decode(getattr(self, sig_attr)) with open(key_path(private
  • hello_world jwt_sig = base64.b64decode(getattr(self, sig_attr)) jwt_sig += b"123" # Signa
✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 5.0

Found 2 credential access pattern(s)

  • [ "file:///etc/passwd", "ftp://example.org/keys.json", 'd
  • on,{"keys":[]}', "/etc/passwd", # urlparse gives scheme="" — also rejected "
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: jpadilla.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository jpadilla/pyjwt appears legitimate

⚠ 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 PyJWT 
Create a simple user authentication system using Python and the PyJWT package. This mini-project will serve as a foundational tool for understanding how JSON Web Tokens (JWTs) work in securing web applications. Here’s a detailed plan for your project:

1. **Project Overview**: Develop a command-line interface (CLI) tool that allows users to register, log in, and manage their sessions using JWTs. The tool should generate a token upon successful login and require this token for accessing protected resources.

2. **Features**:
   - User Registration: Users should be able to sign up with a unique username and password.
   - User Login: After registration, users can log in with their credentials to receive a JWT.
   - Token Validation: Verify the token each time it is submitted to ensure it has not been tampered with and has not expired.
   - Protected Resources Access: Implement endpoints that require a valid JWT to access.
   - Token Refresh: Allow users to refresh their tokens without needing to log in again.

3. **Utilizing PyJWT**:
   - Use PyJWT to encode user information into a JWT upon successful login.
   - Store the JWT securely on the client side (e.g., in a file).
   - Decode and validate the JWT on the server side before granting access to protected resources.
   - Use PyJWT’s features for encoding, decoding, and verifying JWTs to ensure secure communication between the client and server.

4. **Implementation Steps**:
   - Set up a basic Python environment with necessary libraries (install PyJWT).
   - Design a simple database to store user credentials (for simplicity, you can use a dictionary).
   - Implement the registration functionality, storing usernames and hashed passwords.
   - Create the login functionality that generates a JWT upon successful verification of credentials.
   - Implement the token validation logic to check for token integrity and expiration.
   - Define endpoints that require a valid JWT to access and demonstrate how to protect these endpoints.
   - Add a feature to refresh tokens, allowing users to extend their session duration without re-authenticating.

5. **Additional Enhancements**:
   - Implement a logout functionality that invalidates the current token.
   - Improve security by adding additional claims to the JWT, such as roles or permissions.
   - Use HTTPS to encrypt all communications between the client and server.

By completing this project, you’ll gain hands-on experience with JWTs and their role in modern web security practices.