# 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`.

        .Builder()
        .serialNumber(1L)
        .certificateAuthority(4)
        .commonName("attacker ca")
        .build()
    val attackerIntermediate =
      HeldCertificate
        .Builder()
        .serialNumber(2L)
        .certificateAuthority(3)
        .commonName("attacker")
        .signedBy(attackerCa)
        .build()
    val pinnedRoot =
      HeldCertificate
        .Builder()

import java.util.concurrent.TimeUnit;

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;

/**
 * Security-focused test cases for NtlmPasswordAuthenticator to verify timing attack resistance.
 */
public class NtlmPasswordAuthenticatorTimingAttackTest {

    private static final int TIMING_ITERATIONS = 1000;

   * saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.2;

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.HashMap based

mitigate the risk in this scenario is to sandbox the model execution.

### Hardware attacks

Physical GPUs or TPUs can also be the target of attacks. [Published
research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have

 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs.smb;

import jcifs.CIFSException;

/**
 * Exception thrown when an SMB protocol downgrade attack is detected.
 * Indicates that the negotiated protocol version is lower than expected or required.
 *
 * @author mbechler
 *
 */
public class SMBProtocolDowngradeException extends CIFSException {

    /**

        br.addElement("Against for CVE-2014-0050 (JVN14876762).");
        br.addElement("Boundary size is limited by Framework.");
        br.addElement("Too long boundary is treated as 404 because it's thought of as attack.");
        br.addElement("");
        br.addElement("While, you can override the boundary limit size");
        br.addElement(" in " + getClass().getSimpleName() + ".");
        br.addItem("Content Type");

    # 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

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

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

    # Return some error
    ...
```

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

Y envían un request con un nombre de usuario `johndoe` y una contraseña `love123`.

            context.invalidate();
            if (enforceIntegrity) {
                throw new CIFSException("Preauth integrity validation failed - possible downgrade attack detected");
            }
        }

        return isValid;
    }

    /**
     * Gets the current preauth hash for a session.
     *
     * @param sessionId the session identifier