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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.Introduction to Production Areas一心为官，并且跟对人的，至少能落个好仕途。孙家是很普通的人家，有两个女儿，姐姐孙丽是父母的掌上明珠，又漂亮又聪明，大学外语系毕业后在一家旅行社工作；妹妹孙燕模样不如姐姐，也没上过大学，只是在工厂食堂卖卖饭票。孙燕十分羡慕姐姐，觉得自己什么都不如姐姐，经常觉得自卑。可是最近姐姐也有苦恼的事：她一直爱着同院从小一起长大的英俊潇酒的马黎明，再人青梅竹马，早就不是一般的关系，可是她又抗拒不了研究员张波的追求，觉得尽管张波没有马黎明那么让她真的动心，但文化水平高，事业上有建树，对自己将来的发展有帮助，稳妥可靠。而马黎明只是一个普通国营工厂的采购员……她心情矛盾地同时维持着和两个人那日，她派人给田夫子送信，约他当夜来善郡王府会面。Data Poisoning Attack: This involves inputting antagonistic training data into the classifier. The most common type of attack we observe is model skew. Attackers pollute training data in this way, making classifiers tilt to their preferences when classifying good data and bad data. The second attack we have observed in practice is feedback weaponization, which attempts to abuse the feedback mechanism to manipulate the system to misclassify good content as abuse (e.g. Competitor's content or part of retaliatory attacks).