#34Add security issues to auth_service.pyChanges requested
iamapoorv476 wants to mergetest-23→main0 files+0−0reviewed 53d ago
The agent requested changes — it recorded 4 critical and 2 warning-level findings across 0 files.
¶ Marginalia · model claude-haiku-4-5 · 11440 tokens
findings 6 · steps 20
tools called 16
tools called 16
criticalauth_service.py : 6security
auth_service.py : 6
The JWT secret key is hardcoded directly in the source code as "super-secret-jwt-key-2024". This is a critical security vulnerability because:
1. The secret is exposed in version control history
2. Anyone with access to the code can forge valid JWT tokens
3. The secret cannot be rotated without code changes
4. It violates the principle of separating secrets from code
+ Move the JWT secret to an environment variable. Use `os.getenv('JWT_SECRET')` with a fallback to a secure default or raise an error if not set. Never commit secrets to version control.
criticalauth_service.py : 9security
auth_service.py : 9
An admin password is hardcoded directly in the source code as "admin123". This is a critical security vulnerability because:
1. The password is exposed in version control history
2. Anyone with code access can gain admin privileges
3. The password cannot be changed without code deployment
4. It violates the principle of separating secrets from code
+ Remove hardcoded passwords entirely. Use environment variables for initial setup or implement a secure password management system. Passwords should never be stored in code.
criticalauth_service.py : 16security
auth_service.py : 16
The login function constructs a SQL query using string interpolation with user-supplied input (username and password). This allows attackers to inject arbitrary SQL code. For example, an attacker could use username="' OR '1'='1" to bypass authentication or extract sensitive data.
+ Use parameterized queries (prepared statements) instead of string interpolation. Replace the query with: `query = "SELECT * FROM users WHERE username=? AND password=?"` and pass parameters as a tuple: `cursor.execute(query, (username, password))`
criticalauth_service.py : 29security
auth_service.py : 29
The get_user function constructs a SQL query using string interpolation with a user-supplied user_id parameter. This allows attackers to inject arbitrary SQL code. For example, an attacker could use user_id="1 OR 1=1" to extract all user records or perform other malicious database operations.
+ Use parameterized queries (prepared statements) instead of string interpolation. Replace the query with: `cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))` to safely pass the user_id parameter.
warningauth_service.py : 21security
auth_service.py : 21
The hash_password function uses MD5 for password hashing, which is cryptographically broken and unsuitable for password hashing. MD5 is fast and has known collision vulnerabilities, making it vulnerable to rainbow table attacks and brute force attacks. Additionally, there is no salt being used.
+ Use a modern password hashing algorithm like bcrypt, scrypt, or Argon2. For example, use the `bcrypt` library: `import bcrypt` and `bcrypt.hashpw(password.encode(), bcrypt.gensalt())`. These algorithms are designed for password hashing and include salt by default.
warningauth_service.py : 33security
auth_service.py : 33
The verify_token function uses a simple equality comparison (==) to verify the JWT token against the secret. This is vulnerable to timing attacks where an attacker can measure the time taken for the comparison to fail and gradually determine the correct token character by character. The comparison time varies based on how many characters match before a mismatch is found.
+ Use a constant-time comparison function to prevent timing attacks. Use `hmac.compare_digest(token, JWT_SECRET)` from the `hmac` module, which compares strings in constant time regardless of where the mismatch occurs.