Qrator Network DDoS Protection

Smart defense against automated bot cyber security attacks on web, mobile applications, and APIs without compromising user experience

>4 bln

Monthly detected bot and cyber security incidents


Bots and cyber security activity on a website


The average business impact of webscraper activity

Securing Your Business web Resources

Malicious bots can lead to significant business losses through brute-force hacking, identity theft, generating irrelevant traffic, and competitive web scraping. Click fraud, content scraping, SEO manipulation, and other bot-based attacks can severely affect business revenue, not to mention the excessive misuse of application resources enabling fraudulent activities like account takeovers or application-level DDoS attacks, underscoring the importance of application and web security and server DDoS protection

Why Qrator Web Scraping Bot Protection?

There will be a title that makes sense

Integrated component of the Qrator Labs Web Application Firewall Solution

No DDoS Captcha

Secures websites, mobile apps, and APIs with cloud-based data protection

Takes minutes to deploy and enables flexible configuration of user-defined rules

Guard with cloud-based data protection

Account Takeover


Credential Stuffing

Secure cloud server overload

The Most Secure Cloud Approach to Protect Your Business

Ensure a Flawless User Experience

Qrator.AntiBot provides Anti DDoS Protection by distinguishing between benign and malicious bot traffic, ensuring minimal disruption to legitimate users while delivering robust defense against automated content search, data scraping, brute-force attacks, and DDoS attacks

Increase Your Competitive Advantage

In a DDoS attack example, malicious bots engage in automated content scraping to extract data from websites, impacting your profitability. Qrator.AntiBot counters this malicious activity by analyzing user fingerprinting through JavaScript code. This method ensures transparency for legitimate users with only minimal additional traffic processing delay

Counter Common Attacks in Cyber Security to Preserve Your Brand's Integrity

Qrator.AntiBot detects brute force activity aimed to guess login info, encryption keys, secret links, promo codes, or any additional information you would not like to make public. Blocking traffic from illegitimate IP addresses from the initial request Qrator.AntiBot prevents its execution on the server side ensuring the application serves only real customers

Leading Web Scraping Technologies

DOM Analysis with Botnet DDoS Attack Detection

JavaScript-based Web Scraping

Behavioral Profiling with DDoS Service Attack Detection

Search for Web Scraping Detection

Evaluating Cyber Security Protection Against Online Website Security Tests

Assessing Resemblance to Recognized Bots in Cyber Security Protection and Secure Cloud Technologies

Effortless Implementation with Enhanced Efficiency and Resilience in the Context of DDoS Protection

Surveillance Mode in Cyber and Network Security

Restrictive Mode in Cyber Security Information

In Secure Cloud Technologies, Qrator.AntiBot forwards a user's request for additional validation. Should a browser transmit any response to Qrator.AntiBot, it won't trigger an error code; instead, validation specifics are logged in the event record. The Qrator.AntiBot operator can access the event log at any given time.

Within the Best Web Security Software, browsers or applications poorly fingerprinted or lacking JS support (including non-browser-based scrapers) will encounter a customizable blocking page. A genuine user will initially view a verification page (either blank or a tailored 401 page) and, upon validation, will access the desired content. The software's interface facilitates permissions for reputable bots, quality assurance, and other instances necessitating bypassing the verifications. Trusted IP addresses, CIDR lists, geographical zones, and header regulations can be designated to configure these situations.

How Advanced Bot Protection Functions in a DDoS Attack-Free Environment

Qrator.AntiBot is integrated into the Qrator Labs DDoS Mitigation platform and can be activated and configured within a dedicated section of the Qrator UI, focusing on bots in cyber security

APIs protection

Web-based locations

APIs protection

For the APIs utilized by native mobile app users (iOS, Android), Qrator.AntiBot offers multiple protection techniques, emphasizing AWS WAF bot detection

Activating Web Server Security Scan for Browser-Based Authentication

Implementing Cloud-Based Data Protection by enabling browser-based authentication (BBA) for app users during the login phase, verifying the environment and the OS-designated browser utilized for BBA

Protection Tokens in the Context of DDoS Service Attack

Verifying Security Tokens that Users Must Use to Authenticate Their Requests in Web Protection Apps

Screening in the Context of Cyber Security Information

filtering out the attempts to access the API directly

Online Destinations in the Context of DDoS Service Attack

In areas where the safeguarded location anticipates web-based visitors, Qrator.AntiBot examines the browser environment accessing a secured asset and produces a tracking cookie for browsers deemed trustworthy. Concurrently, Qrator.AntiBot denies access to the asset for visitors employing script-driven bots or employing web scraping toolkits, encompassing comprehensive browser-based solutions, within the realm of cyber and network security.

Four Simple Steps to Customize DDoS Protection for Your Business

Qrator.AntiBot checks can be set up and customized in the following steps:

Step 1

Define the locations of your website where the users should confirm their authenticity by processing the check page: the entry points for your legitimate visitors

Step 2

Specify the locations of your website available only for validated users – crucial API calls, credentials fill-in forms, search methods, etc.

Step 3

Outline your trusted users and friendly bots by using header-based, IP/CIDR-based, and geo-based exceptions

Step 4

Choose the percentage of your user base affected by the set rules to conduct A/B tests and smoothly onboard the feature

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