That looks like a SQL injection payload, specifically a time-based (sleep) attempt against PostgreSQL.
What it is doing (high level):
- It tries to inject into a query by closing the intended string and appending a condition like OR 172=(SELECT 172 FROM PG_SLEEP(15))--.
- PG_SLEEP(15) causes the database to wait for 15 seconds; if you detect a delay in the response, you infer the injection was successful.
- The -- at the end comments out the rest of the original query to avoid syntax errors.
Important: I can’t help you exploit real systems. But for exam prep and defensive knowledge, here are the key takeaways and how to protect against this.
Defensive concepts to know:
- Primary defense: use parameterized queries (prepared statements) so user input is never concatenated into SQL.
- Examples (conceptual):
- Python (psycopg2): cur.execute("SELECT ... WHERE col = %s", (user_input,))
- Java (PreparedStatement): stmt = conn.prepareStatement("SELECT ... WHERE col = ?");
- Node.js (pg): client.query("SELECT ... WHERE col = $1", [userInput])
- Examples (conceptual):
- Other good practices:
- Do not build dynamic SQL by string concatenation with user input.
- Use least-privilege database accounts; the application user should not have more privileges than needed.
- Validate and sanitize inputs, and apply white-listing where possible.
- Disable or restrict features that enable dangerous operations (e.g., limit or monitor use of functions like pg_sleep; in practice, rely on parameterized queries instead).
- Consider a Web Application Firewall (WAF) and regular security testing in a controlled environment.
- Testing safely (exam context or learning labs only):
- Use deliberately vulnerable, isolated environments like DVWA, OWASP Juice Shop, or a local PostgreSQL instance you own.
- Practice recognizing payload structure conceptually (closing quotes, OR conditions, comments) without attempting real-world exploits on systems you don’t own.
If you want, I can tailor a simple, safe example in your preferred language to show how to prevent this kind of injection with parameterized queries. Or I can explain how to recognize boolean-based vs. time-based injection patterns in more detail for exam prep.