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The te finds that it is blocking page response information from the browser, Forward the information you don't need, Find the information you need, The corresponding information will also be loaded through the Forward page, The following figure shows BurpSuite's interception page: 2.2. BurpSuite Replay Attack 2.2. 1 Replay Attack Replay Attacks, also known as Replay Attacks, Replay Attacks or FreshnessAttacks, refers to the attacker sending a packet received by the destination host to deceive the system, which is mainly used in the identity authentication process and destroys the correctness of authentication. It is a type of attack that repeats an effective data transmission maliciously or fraudulently. The replay attack can be carried out by the initiator or by the enemy that intercepts and retransmits the data. Attackers use network monitoring or other means to steal authentication credentials and then re-send them to the authentication server. From this explanation, encryption can effectively prevent session hijacking, but it cannot prevent replay attacks. Replay attacks can occur during any network communication. Replay attack is one of the common attacks used by hackers in the computer world. Its written definition is abstract to people who do not know cryptography. However, through learning, we know that the best way to defend against replay attacks is timestamp. Simply speaking, what is timestamp, that is, the verification code that we need to enter when visiting some websites to log in, and replay attacks cannot cope with every time we log in.The attacker forges the source ip address of the syn as the ip address of the target, and the server response is sent directly to the target宋义和田荣有拒不救援，少将军还在魏地，来不及赶来，尹将军突袭河北，到如今也是音信全无，已经没有援兵了，要是这样一直等下去，怕是不行……元帅，今日起雾了，不若我们借着大雾掩映，突围吧。秦旷走过来，笑着叫道：香儿妹妹，在做什么呢？低头看向盆里和篮子里，原来是洗一些干菜，筲箕里是小虾米。-Coding: N categories are divided M times, and one part of the categories is divided into positive classes and the other part is divided into negative classes in each division, thus forming a two-classification training set. In this way, a total of M training sets are generated, and M classifiers can be trained.