These attacks exploit the fact that browsers allow scripts to send requests without doing any CORS preflight check when they:

* don't have a `Content-Type` header (e.g. using `fetch()` with a `Blob` body)
* and don't send any authentication credentials.

This type of attack is mainly relevant when:

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;

        .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()

    # 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`.

* plug-in: plug-in (do not translate to "complemento" or "extensión")
* plug-ins: plug-ins (do not translate to "complementos" or "extensiones")
* full stack: full stack (do not translate to "pila completa")
* full-stack: full-stack (do not translate to "de pila completa")
* stack: stack (do not translate to "pila")
* loop (as in async loop): loop (do not translate to "bucle" or "ciclo")

```Python
if not (credentials.username == "stanleyjobson") or not (credentials.password == "swordfish"):
    # 어떤 오류를 반환
    ...
```

하지만 `secrets.compare_digest()`를 사용하면 "timing attacks"라고 불리는 한 유형의 공격에 대해 안전해집니다.

### 타이밍 공격 { #timing-attacks }

그렇다면 "timing attack"이란 무엇일까요?

공격자들이 사용자명과 비밀번호를 추측하려고 한다고 가정해봅시다.

그리고 사용자명 `johndoe`, 비밀번호 `love123`으로 요청을 보냅니다.

그러면 애플리케이션의 Python 코드는 대략 다음과 같을 것입니다:

```Python

   * 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 {

    /**

By default, OkHttp trusts the certificate authorities of the host platform. This strategy maximizes connectivity, but it is subject to certificate authority attacks such as the [2011 DigiNotar attack](https://www.computerworld.com/article/2510951/cybercrime-hacking/hackers-spied-on-300-000-iranians-using-fake-google-certificate.html). It also assumes your HTTPS servers’ certificates are signed by a certificate authority.