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Задача Задача №3622767
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Аноним
18 июня 2026 10:44 · публичный вопрос
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Аноним

555-1)) OR 997=(SELECT 997 FROM PG_SLEEP(15.758))--

Нейросеть18 июня 2026 10:44

What you pasted looks like a time-based blind SQL injection payload for PostgreSQL, using pg_sleep to delay the response.

Key idea (high level):

  • The snippet tries to inject a condition into a vulnerable query.
  • If the condition is true, the database runs pg_sleep(15.758), causing the query to take an extra ~15.8 seconds to respond.
  • By measuring the response time, an attacker can infer information (true/false) about the data at the injection point.

Why this matters:

  • It’s a common technique for blind SQL injection when the application does not reveal data directly but the attacker can observe timing.
  • It relies on the ability to inject SQL into a query, which is prevented by proper defense measures (see below).

Safe guidance:

  • Only test such techniques in environments you own or have explicit permission to test (local lab, intentionally vulnerable apps, etc.).
  • Do not run or test injection payloads against systems you don’t control.

Defensive measures (how to prevent this):

  • Use parameterized queries / prepared statements everywhere. Do not concatenate user input into SQL strings.
  • Validate and sanitize inputs, and apply least privilege to the database account used by the application (no pg_sleep or other risky functions available to the app user).
  • Disable dangerous functions or restrict their execution via database privileges (for example, remove or restrict access to pg_sleep for the application role if possible).
  • Use an ORM that enforces parameterization and input handling.
  • Implement a Web Application Firewall or input anomaly detection to flag time-based payload patterns.
  • Enable thorough logging and alerting for long-running queries and unusual database activity.

If you’re studying for an exam, I can:

  • Explain time-based blind SQL injection step-by-step at a conceptual level.
  • Walk through safe, legal lab setups to practice it (e.g., using DVWA, OWASP Juice Shop, etc.).
  • Show how to defend against it with concrete code examples in a language you’re using (e.g., Python with psycopg2, Java with JDBC, etc.).
555-1)) OR 997=(SELECT 997 FROM PG_SLEEP(15.758))--
What you pasted looks like a time-based blind SQL injection payload for PostgreSQL, using pg_sleep to delay the response. Key idea (high level): - The snippet tries to inject a condition into a vulnerable query. - If the condition is true, the database runs pg_sleep(15.758), causing the query to take an extra ~15.8 seconds to respond. - By measuring the response time, an attacker can infer information (true/false) about the data at the injection point. Why this matters: - It’s a common technique for blind SQL injection when the application does not reveal data directly but the attacker can observe timing. - It relies on the ability to inject SQL into a query, which is prevented by proper defense measures (see below). Safe guidance: - Only test such techniques in environments you own or have explicit permission to test (local lab, intentionally vulnerable apps, etc.). - Do not run or test injection payloads against systems you don’t control. Defensive measures (how to prevent this): - Use parameterized queries / prepared statements everywhere. Do not concatenate user input into SQL strings. - Validate and sanitize inputs, and apply least privilege to the database account used by the application (no pg_sleep or other risky functions available to the app user). - Disable dangerous functions or restrict their execution via database privileges (for example, remove or restrict access to pg_sleep for the application role if possible). - Use an ORM that enforces parameterization and input handling. - Implement a Web Application Firewall or input anomaly detection to flag time-based payload patterns. - Enable thorough logging and alerting for long-running queries and unusual database activity. If you’re studying for an exam, I can: - Explain time-based blind SQL injection step-by-step at a conceptual level. - Walk through safe, legal lab setups to practice it (e.g., using DVWA, OWASP Juice Shop, etc.). - Show how to defend against it with concrete code examples in a language you’re using (e.g., Python with psycopg2, Java with JDBC, etc.).