That string looks like a classic time-based SQL injection attempt. It tries to inject an OR condition that would cause the database to sleep (delay) for 15 seconds, so an attacker can infer whether the injection succeeded by timing the response.
Notes on the exact syntax:
- It resembles PostgreSQL syntax because of pg_sleep, but the exact fragment 545=(SELECT 545 FROM PG_SLEEP(15)) isn’t valid PostgreSQL: pg_sleep returns void, so you can’t compare it with = or select a value from it in that way. In practice, a timing-based payload would try to force a delay when a condition is true, and no delay (or a much shorter delay) when it’s false.
- The general idea is still the same: use input that alters the logic of a SQL query (e.g., ends up with an OR true) to trigger a delay or return a different timing/response that reveals information.
Key takeaways for exam prep:
- This is an example of time-based blind SQL injection, where an attacker doesn’t see data directly but uses response times to infer truths about the database.
- The attack relies on the application combining user input into SQL in an unsafe way (e.g., string concatenation rather than parameterization).
Defensive measures you should know for exams:
- Use parameterized queries / prepared statements everywhere. Do not build SQL by concatenating user input.
- Validate and sanitize inputs, and enforce strict typing (e.g., numeric inputs should be treated as numbers, not concatenated into strings).
- Apply the principle of least privilege: the app’s DB user should have only the minimum rights needed; avoid using a superuser account.
- Avoid dynamic SQL where possible; use ORM features or stored procedures with proper parameters.
- Use input length limits and proper error handling to avoid leaking database error details.
- Web App Firewall (WAF) and monitoring can help detect abnormal patterns, but don’t rely on them alone.
- For testing in exams or labs, practice in safe environments like a local lab or deliberately vulnerable apps (DVWA, OWASP Juice Shop, etc.) and use proper authorization.
Example safe practice (not related to the injection but shows parameterization):
Python (psycopg2): cur.execute("SELECT * FROM users WHERE username = %s AND password_hash = %s", (username, password_hash))
Node.js (pg): await client.query("SELECT * FROM users WHERE username = $1 AND password_hash = $2", [username, passwordHash])
If you want, I can tailor more detail to a specific language or show a small lab-safe example illustrating how parameterization blocks this kind of attack.