That looks like a SQL injection payload, specifically a time-based (blind) test for PostgreSQL.
What it’s trying to do (high level)
- It closes a string context (the trailing quote) and injects an OR condition into an existing SQL query.
- The OR part introduces a sleep/pause via a PostgreSQL function (PG_SLEEP) to delay the response. This delay can be used to infer things about the query’s logic based on how long the server takes to respond.
- The tail “--” is a SQL comment indicator, used to drop the rest of the original query so the injected payload isn’t syntactically disrupted.
- The construction with 762 and a subquery is a way to tie the sleep to a boolean check; if the condition is evaluated in a certain way, the sleep occurs, letting an attacker infer information from timing.
Important notes
- PG_SLEEP(19.946) is a time delay (about 19.9 seconds). If the injected condition causes the sleep to run, the response time increases, which is how time-based blind SQL injection works.
- The exact syntax you pasted isn’t guaranteed to work on all PostgreSQL versions, because PG_SLEEP returns void in PostgreSQL and isn’t a normal value you can “select” from in the way the payload suggests. Still, it’s a classic style used in demonstrations of time-based SQLi.
- This kind of payload targets vulnerable input handling (strings concatenated into SQL without proper parameterization) and is a common teaching example for SQL injection risks.
How to defend (practice-safe, exam-ready guidance)
- Use parameterized queries / prepared statements everywhere. Do not concatenate user input into SQL strings.
- Example (conceptual): SELECT ... FROM users WHERE username = ? AND password = ?
- In PostgreSQL with psycopg2: cursor.execute("SELECT ... WHERE username = %s AND password = %s", (username, password))
- Apply least privilege for database accounts. The application user should have only the permissions it needs (read/write for specific tables, not superuser).
- Validate and sanitize input, and enforce strict length limits on fields that go into queries.
- Use an ORM or query builder that enforces parameterization.
- Disable or restrict dangerous functions in the data layer if possible. If you don’t need pg_sleep or similar functions, consider restricting or auditing their usage.
- Implement input-output monitoring and anomaly detection to catch unusual query patterns or delays.
- In testing environments, use safe, authorized labs (e.g., OWASP WebGoat, DVWA, Juice Shop) to learn about SQLi without risking real data.
If you want, I can give a concise example of how to rewrite a vulnerable query into a safe parameterized form in a language you’re studying (e.g., Python with psycopg2, Java with JDBC, PHP with PDO).
