# OAuth2 mit Passwort (und Hashing), Bearer mit JWT-Tokens { #oauth2-with-password-and-hashing-bearer-with-jwt-tokens }

Da wir nun über den gesamten Sicherheitsablauf verfügen, machen wir die Anwendung tatsächlich sicher, indem wir <abbr title="JSON Web Tokens">JWT</abbr>-Tokens und sicheres Passwort-Hashing verwenden.

Diesen Code können Sie tatsächlich in Ihrer Anwendung verwenden, die Passwort-Hashes in Ihrer Datenbank speichern, usw.

# OAuth2 con Password (y hashing), Bearer con tokens JWT { #oauth2-with-password-and-hashing-bearer-with-jwt-tokens }

Ahora que tenemos todo el flujo de seguridad, hagamos que la aplicación sea realmente segura, usando tokens <abbr title="JSON Web Tokens">JWT</abbr> y hashing de contraseñas seguras.

Este código es algo que puedes usar realmente en tu aplicación, guardar los hashes de las contraseñas en tu base de datos, etc.

Sie sollten niemals Klartext-Passwörter speichern, daher verwenden wir ein (gefaktes) Passwort-Hashing-System.

Wenn die Passwörter nicht übereinstimmen, geben wir denselben Fehler zurück.

#### Passwort-Hashing { #password-hashing }

„Hashing“ bedeutet: Konvertieren eines Inhalts (in diesem Fall eines Passworts) in eine Folge von Bytes (ein schlichter String), die wie Kauderwelsch aussieht.

  }

  public void testToString() {
    assertThat(SIP_WITH_KEY.toString()).isEqualTo("Hashing.sipHash24(" + K0 + ", " + K1 + ")");
    assertThat(SIP_WITHOUT_KEY.toString()).isEqualTo("Hashing.sipHash24(" + K0 + ", " + K1 + ")");
    assertThat(sipHash24(20, 13).toString()).isEqualTo("Hashing.sipHash24(20, 13)");
  }

  private static void assertSip(String input, long expected) {

  }

  public void testToString() {
    assertThat(SIP_WITH_KEY.toString()).isEqualTo("Hashing.sipHash24(" + K0 + ", " + K1 + ")");
    assertThat(SIP_WITHOUT_KEY.toString()).isEqualTo("Hashing.sipHash24(" + K0 + ", " + K1 + ")");
    assertThat(sipHash24(20, 13).toString()).isEqualTo("Hashing.sipHash24(20, 13)");
  }

  private static void assertSip(String input, long expected) {

 * the License.
 */

package com.google.common.hash;

import static com.google.common.hash.Hashing.ChecksumType.ADLER_32;
import static com.google.common.hash.Hashing.ChecksumType.CRC_32;
import static com.google.common.truth.Truth.assertThat;

import java.util.zip.Checksum;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

([#45003](https://github.com/kubernetes/kubernetes/pull/45003), [@krmayankk](https://github.com/krmayankk))

* Deployments are updated to use (1) a more stable hashing algorithm (fnv) than the previous one (adler) and (2) a hashing collision avoidance mechanism that will ensure new rollouts will not block on hashing collisions anymore. ([#44774](https://github.com/kubernetes/kubernetes/pull/44774), [@kargakis](https://github.com/kargakis))([kubernetes/features#287](https://github.com/...

Nunca deberías guardar passwords en texto plano, así que, usaremos el sistema de hash de passwords (falso).

Si los passwords no coinciden, devolvemos el mismo error.

#### Hashing de passwords { #password-hashing }

"Hacer hash" significa: convertir algún contenido (un password en este caso) en una secuencia de bytes (solo un string) que parece un galimatías.

 * the License.
 */

package com.google.common.collect;

import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.collect.Hashing.closedTableSize;
import static com.google.common.collect.Hashing.smearedHash;
import static com.google.common.collect.ImmutableList.asImmutableList;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;

   * double the index of the entry in entrySet.asList.)
   *
   * The basic data structure is described in https://en.wikipedia.org/wiki/Open_addressing.
   * The pointer to a key is stored in hashTable[Hashing.smear(key.hashCode()) % table.length],
   * save that if that location is already full, we try the next index, and the next, until we
   * find an empty table position.  Since the table has a power-of-two size, we use