Underwater Hunting'/**/and/**/dbms_pipe.receive_message('z',2)='z -

Instead of building queries by concatenating strings (which leads to the injection vulnerability you shared), use a structured schema and . Table: hunts

Use a WAF to detect and block common patterns like DBMS_PIPE or UNION SELECT .

// SECURE: The '?' or '$1' placeholders prevent SQL injection const query = 'SELECT * FROM hunts WHERE species_name = $1'; const values = [userInput]; // The payload you provided would be treated as a literal string, not code. db.query(query, values, (err, res) => { // Handle results safely }); Use code with caution. Copied to clipboard 3. Key Functionalities Instead of building queries by concatenating strings (which

If you are looking to develop a feature for an "Underwater Hunting" application, we should focus on building it with to prevent exactly this kind of attack. Feature Concept: "The Catch Gallery"

Ensure depth_meters is a number and species_name doesn't contain forbidden characters. Feature Concept: "The Catch Gallery" Ensure depth_meters is

Integration with an AI API to suggest fish species based on the uploaded photo.

Ensure the database user for the app does not have permission to execute administrative packages like DBMS_PIPE . const values = [userInput]

hunt_id (INT), user_id (INT), species_name (VARCHAR), depth_meters (DECIMAL), timestamp (DATETIME). 2. Backend Implementation (Preventing Injection)