#34Add security issues to auth_service.pyChanges requested
iamapoorv476 wants to mergetest-23→main0 files+0−0reviewed 57d ago
The agent requested changes — it recorded 4 critical and 2 warning-level findings across 0 files.
¶ Marginalia · model claude-haiku-4-5 · 10949 tokens
findings 6 · steps 20
tools called 16
tools called 16
criticalauth_service.py : 5security
auth_service.py : 5
JWT_SECRET is hardcoded in the source code as "super-secret-jwt-key-2024". This exposes the secret to anyone with access to the repository, allowing attackers to forge valid JWT tokens and bypass authentication.
+ Move the JWT_SECRET to environment variables or a secure configuration management system. Use: JWT_SECRET = os.getenv('JWT_SECRET') and ensure the environment variable is set securely in production.
criticalauth_service.py : 8security
auth_service.py : 8
ADMIN_PASSWORD is hardcoded in the source code as "admin123". This exposes the admin credentials to anyone with access to the repository, allowing unauthorized administrative access.
+ Remove hardcoded passwords entirely. Use proper authentication mechanisms with hashed passwords stored in the database. Admin credentials should be set during initial setup through secure means, not hardcoded in source code.
criticalauth_service.py : 15security
auth_service.py : 15
The login() function constructs a SQL query using string interpolation with user-supplied username and password parameters. An attacker can inject arbitrary SQL code (e.g., "' OR '1'='1") to bypass authentication or extract sensitive data.
+ Use parameterized queries (prepared statements) instead of string interpolation. Replace the query with: cursor.execute("SELECT * FROM users WHERE username=? AND password=?", (username, password))
criticalauth_service.py : 28security
auth_service.py : 28
The get_user() function constructs a SQL query using string interpolation with a user-supplied user_id parameter. An attacker can inject arbitrary SQL code to extract, modify, or delete data from the database.
+ Use parameterized queries instead of string interpolation. Replace with: cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
warningauth_service.py : 21security
auth_service.py : 21
The hash_password() function uses MD5 for password hashing. MD5 is cryptographically broken and unsuitable for password hashing. It's fast to compute, making it vulnerable to brute-force attacks, and has known collision vulnerabilities.
+ Use a modern password hashing algorithm like bcrypt, scrypt, or Argon2. For example: import bcrypt; return bcrypt.hashpw(password.encode(), bcrypt.gensalt()).decode()
warningauth_service.py : 33security
auth_service.py : 33
The verify_token() function uses a simple string equality comparison (==) to verify tokens against JWT_SECRET. This is vulnerable to timing attacks where an attacker can measure response times to gradually discover the correct token character by character.
+ Use a constant-time comparison function to prevent timing attacks. Use: import hmac; return hmac.compare_digest(token, JWT_SECRET)