Scraping

Content scraping can be devastating for customers and the enterprise

Attackers use automated techniques to extract valuable data from web and mobile apps. These techniques generate substantial requests to retrieve large amounts of data from publicly-available databases using bots and other automation tools. Scraping can be motivated by both financial incentives, and malicious intent – such as attempting to increase bandwidth costs or crashing web applications.

Scraping is also known as Content Scraping, Data Aggregation, Database Scraping, Farming, Harvesting, Mining, Pagejacking, Ripping, and Scraper Bots.

Arkose Labs control scraping with attritional defenses that make inauthentic requests uneconomical

When large volumes of data are requested, Arkose Labs intercept attackers with Enforcement, a challenge–response mechanism that concludes whether or not a request is authentic before passing it to the enterprise. This layer of security generates scaling costs for attackers, and has been statistically proven to achieve the same throughput as when an enterprise uses no defense.

Automation makes stealing content and data a profitable business for attackers

Online travel agencies (OTAs), airlines, and metasearch web applications are among the most targeted for Scraping attacks. Such attacks are leveled by aggregators, and competing merchants, seeking to circumvent APIs so as to hijack content and divert sales opportunities. Arkose Labs prevent Scraping on these websites by augmenting security controls to undermine the signaled attack vector, which negatively impacts the possible ROI attackers have from their abuse.

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Malicious advances in scraping can be countered by restricting the use of client-side data

Gain definitive accuracy on the authenticity of requests made to enterprise web and mobile apps