Community Blog Protect Your Data from Hit Attacks with WAF

Protect Your Data from Hit Attacks with WAF

As Big Data applications grow fast, hit attacks is becoming important. In this article, you will get some information on how to protect your data from hit attacks with WAF(Web Application Firewall).

As Big Data sees more and broader application, it would be foolish to discount the significance of database hit attacks.

Database hit attacks are not very complex. For example, you may have an email account with the username abc@xx.com, and the password is x6!00AL5y@ (which is complex and secure). However, for the sake of convenience, you registered for accounts on Facebook, Ctrip, Taobao, WeChat, etc. with the same account. Using the same mailbox account and password poses security risks. This is a common practice because remembering different account/password combinations can be annoying.

As a result, the account is stolen by a hacker, probably because your mailbox leaked personal information or out of carelessness. The hacker can log in to all your accounts with the same information. Then, all information across your accounts will be stolen.

WAF provides a "10-minute solution" to help users deal with database hits. First, a WAF user takes 5 minutes to complete the online access. The new configuration rules are only valid for 2 minutes. The web application is under the protection of Cloud Security 10 minutes. You can defend against common attacks such as SQL injection, XXS, and Trojans with only a click of a button.

WAF 3.0 has developed a new kind of "black technology" called Data Risk Control. It combines cybersecurity protection capability with Alibaba Cloud Security's service security risk control to easily resolve the following issues.

• User information leakage caused by a database hit attack and brute-force cracking
• Scalpers, fake tickets, fake coupons, and fake red packets and other malicious behavior
• SMS fees generated from malicious fake SMS verification codes and SMS interfaces
• Malicious registrations of spam accounts
• Malicious interference by sniping bots

From the moment when a request accesses your website, WAF fits a complex human-computer recognition model to analyze whether the visitor meets a normal user's behaviors. For example, a normal user does not directly submit a login request when there is no page access or login portal, but the database hit attack will. In addition to analyzing behaviors, WAF combines traffic information and users' browser information with Alibaba Cloud big data information (including zombie computers, malicious IPs, malicious scripts, malicious software, etc.) to ultimately determine whether the request is normal and reliable.

When a normal user accesses the site, they aren't aware of the analysis process. They log in, register, verify, or snipe products just as they normally would. However when a user is suspected of unnatural behavior, WAF performs human-computer recognition and verification at key interfaces (such as registration and login) of Data Risk Control until the user is confirmed to be normal. This means that protection is precise and targeted, avoiding negatively impacting normal users as much as possible.

For more information, please go to How to defend against a database hit attack in 10 minutes or less.

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