double avgTime = timings.stream().mapToLong(Long::longValue).average().orElse(0.0);
                long maxTime = timings.stream().mapToLong(Long::longValue).max().orElse(0L);
                long minTime = timings.stream().mapToLong(Long::longValue).min().orElse(0L);

                double variance = (maxTime - minTime) / avgTime;
                // JVM timing in concurrent scenarios is inherently variable

    # Return some error
    ...
```

But by using the `secrets.compare_digest()` it will be secure against a type of attacks called "timing attacks".

### Timing Attacks { #timing-attacks }

But what's a "timing attack"?

Let's imagine some attackers are trying to guess the username and password.

And they send a request with a username `johndoe` and a password `love123`.

    # Devuelve algún error
    ...
```

Pero al usar `secrets.compare_digest()` será seguro contra un tipo de ataques llamados "timing attacks".

### Timing attacks { #timing-attacks }

¿Pero qué es un "timing attack"?

Imaginemos que algunos atacantes están tratando de adivinar el nombre de usuario y la contraseña.

    # Einen Error zurückgeben
    ...
```

Aber durch die Verwendung von `secrets.compare_digest()` ist dieser Code sicher vor einer Art von Angriffen, die „Timing-Angriffe“ genannt werden.

### Timing-Angriffe { #timing-attacks }

Aber was ist ein „Timing-Angriff“?

Stellen wir uns vor, dass einige Angreifer versuchen, den Benutzernamen und das Passwort zu erraten.

    # Return some error
    ...
```

Porém, ao utilizar o `secrets.compare_digest()`, isso estará seguro contra um tipo de ataque chamado "timing attacks" (ataques de temporização).

### Ataques de Temporização { #timing-attacks }

Mas o que é um "timing attack" (ataque de temporização)?

Vamos imaginar que alguns invasores estão tentando adivinhar o usuário e a senha.

import org.codelibs.fess.exception.FessSystemException;
import org.codelibs.fess.util.ComponentUtil;

/**
 * Helper class for controlling crawler execution intervals and timing.
 * This class manages crawler execution timing based on configurable rules
 * that can specify different delays for different time periods and days.
 */
public class IntervalControlHelper {

        return new EncryptionResult(ciphertext, authTag);
    }

    /**
     * Perform constant-time encryption to prevent timing attacks
     */
    private byte[] performConstantTimeEncryption(Cipher cipher, byte[] message) throws Exception {
        // Pad to fixed block size to prevent timing leaks
        int blockSize = cipher.getBlockSize();
        if (blockSize == 0)
            blockSize = 16; // GCM mode

* load balancer: load balancer (do not translate to "balanceador de carga")
* load balance: load balance (do not translate to "balancear carga")
* self hosting: self hosting (do not translate to "auto alojamiento")

* Pydantic model: Pydantic-модель (`модель Pydantic` and `Pydantic модель` are also fine)
* declare: объявить
* have the next best performance, after: быть на следующем месте по производительности после
* timing attack: тайминговая атака (clarify `атака по времени` if needed)
* OAuth2 scope: OAuth2 scope (clarify `область` if needed)
* TLS Termination Proxy: прокси-сервер TSL-терминации
* utilize (resources): использовать

    /**
     * Attaches [tag] to the request using [T] as a key. Tags can be read from a request using
     * [Request.tag]. Use null to remove any existing tag assigned for [T].
     *
     * Use this API to attach timing, debugging, or other application data to a request so that
     * you may read it in interceptors, event listeners, or callbacks.
     */
    @JvmName("reifiedTag")