AWS WAF Bot Control gives you visibility and control over common and pervasive bot traffic that can consume excess resources, skew metrics, cause downtime, or perform other undesired activities. With just a few clicks, you can use the Bot Control managed rule group to block or rate-limit pervasive bots, such as scrapers, scanners, and crawlers, or you can allow common bots, such as status monitors and search engines. The Bot Control managed rule group can be used alongside other Managed Rules for WAF or with your own custom WAF rules to protect your applications.
Bot Control enables you to monitor bot traffic activity with dashboards that provide detailed, real-time visibility into bot categories, identities, and other bot traffic details. You can use AWS Firewall Manager to deploy Bot Control for your web applications across multiple accounts in your AWS Organization.
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Benefits
Gives you visibility into bot traffic activities
All AWS WAF customers get pre-built dashboards showing which of your applications have high levels of bot activity based on sampled data. For customers who enable Bot Control, you will get real-time, detailed, and request-level visibility into bot activities.
Reduces operational and infrastructure costs
Bot Control helps you reduce costs associated with scraper, scanner, and crawler web traffic. Bot Control blocks unwanted bot traffic at the edge before it can increase your application processing costs or impact application performance. Bot Control offers a free usage tier for common use cases.
Deploys easily
Bot Control is enabled by adding an AWS managed rule group to a Web Access Control List, making it easy to add bot protection for your applications that use Amazon CloudFront, Application Load Balancer, Amazon API Gateway, or AWS AppSync. There is no additional infrastructure, DNS changes, or TLS certificate management needed.
Saves time with managed bot protections
Bot Control is a managed rule group maintained and continuously improved upon by AWS. Bot Control removes the undifferentiated heavy lifting and unnecessary complexity of monitoring and protecting your applications against the constantly evolving bot landscape.
Provides flexible and customizable bot protection
Bot Control can be turned on with no additional configuration for most use cases, but it is also highly customizable to meet your specific requirements. You can specify which requests Bot Control evaluates, different actions for different categories of bots, or combine Bot Control results with WAF custom rules to allow or block specific bots.
Use cases
Block unwanted bot traffic at the network edge
Bot Control can block unwanted bot traffic at the network edge when you use AWS WAF with Amazon CloudFront. Bot Control helps you minimize the impact of bots on your application's performance and can reduce operational and infrastructure costs associated with traffic from scrapers, scanners, and crawlers. Bot Control also increases the accuracy of your web analytics by removing bot traffic that can skew website and conversion metrics.
Protect intellectual property
Some bots, such as scrapers and crawlers, comb through your web site to index your web pages, download your content, or use your APIs in undesirable ways to gain access to your data. Bot Control categorizes the most common bots so you can block individual bots or an entire bot category like SEO crawlers, scrapers, or site monitoring tools. By default, Bot Control does not block common bots like search engine web crawlers.
Deliver alternate content in response to bot traffic
Using Bot Control and other WAF features like custom responses and request header injection, you can create custom application workflows for bot traffic. For example, you may allow bots that are copying or “scraping” pricing data since they may drive traffic to your site, but you may block excessive requests from bots that can overwhelm your real-time pricing database. With AWS WAF, you can route bot traffic to an alternate endpoint where pricing data is cached and while routing user traffic to pages that provide real-time pricing data.
A scraper site is a website that copies content from other websites using web scraping. The content is then mirrored with the goal of creating revenue, usually through advertising and sometimes by selling user data. Scraper sites come in various forms. Some provide little, if any material or information, and are intended to obtain user information such as e-mail addresses, to be targeted for spam e-mail. Price aggregation and shopping sites access multiple listings of a product and allow a user to rapidly compare the prices.
Examples of scraper websites[edit]
Search engines such as Google could be considered a type of scraper site. Search engines gather content from other websites, save it in their own databases, index it and present the scraped content to their search engine's own users. The majority of content scraped by search engines is copyrighted.[1]
The scraping technique has been used on various dating websites as well. These sites often combine their scraping activities with facial recognition.[2][3][4][5][6][7][8][9][10][11]
Scraping is also used on general image recognition websites, and websites specifically made to identify images of crops with pests and diseases[12][13]
Made for advertising[edit]
Some scraper sites are created to make money by using advertising programs. In such case, they are called Made for AdSense sites or MFA. This derogatory term refers to websites that have no redeeming value except to lure visitors to the website for the sole purpose of clicking on advertisements.[14]
Made for AdSense sites are considered search engine spam that dilute the search results with less-than-satisfactory search results. The scraped content is redundant to that which would be shown by the search engine under normal circumstances, had no MFA website been found in the listings.
Some scraper sites link to other sites to improve their search engine ranking through a private blog network. Prior to Google's update to its search algorithm known as Panda, a type of scraper site known as an auto blog was quite common among black hat marketers who used a method known as spamdexing.
Legality[edit]
Scraper sites may violate copyright law. Even taking content from an open content site can be a copyright violation, if done in a way which does not respect the license. For instance, the GNU Free Documentation License (GFDL)[15] and Creative Commons ShareAlike (CC-BY-SA)[16] licenses used on Wikipedia[17] require that a republisher of Wikipedia inform its readers of the conditions on these licenses, and give credit to the original author.[original research?]
Techniques[edit]
Depending upon the objective of a scraper, the methods in which websites are targeted differ. For example, sites with large amounts of content such as airlines, consumer electronics, department stores, etc. might be routinely targeted by their competition just to stay abreast of pricing information.
Another type of scraper will pull snippets and text from websites that rank high for keywords they have targeted. This way they hope to rank highly in the search engine results pages (SERPs), piggybacking on the original page's page rank. RSS feeds are vulnerable to scrapers.
Other scraper sites consist of advertisements and paragraphs of words randomly selected from a dictionary. Often a visitor will click on a pay-per-click advertisement on such site because it is the only comprehensible text on the page. Operators of these scraper sites gain financially from these clicks. Advertising networks claim to be constantly working to remove these sites from their programs, although these networks benefit directly from the clicks generated at this kind of site. From the advertisers' point of view, the networks don't seem to be making enough effort to stop this problem.
Scrapers tend to be associated with link farms and are sometimes perceived as the same thing, when multiple scrapers link to the same target site. A frequent target victim site might be accused of link-farm participation, due to the artificial pattern of incoming links to a victim website, linked from multiple scraper sites.
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Domain hijacking[edit]
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Some programmers who create scraper sites may purchase a recently expired domain name to reuse its SEO power in Google. Whole businesses focus on understanding all[citation needed] expired domains and utilising them for their historical ranking ability exist. Doing so will allow SEOs to utilize the already-established backlinks to the domain name. Some spammers may try to match the topic of the expired site or copy the existing content from the Internet Archive to maintain the authenticity of the site so that the backlinks don't drop. For example, an expired website about a photographer may be re-registered to create a site about photography tips or use the domain name in their private blog network to power their own photography site.
Services at some expired domain name registration agents provide both the facility to find these expired domains and to gather the HTML that the domain name used to have on its web site.[citation needed]
See also[edit]
- Multi-protocol messengers: can connect to several networks, yet require to have an account on all of these, so don't violate any terms of the networks
References[edit]
- ^Google 'illegally took content from Amazon, Yelp, TripAdvisor,' report finds
- ^This App Lets You Find People On Tinder Who Look Like Celebrities
- ^Dating app boss sees ‘no problem’ on face-matching without consent
- ^Dating.ai App Matches You With Celebrity Look-alikes
- ^Facial recognition app matches strangers to online profiles
- ^NameTag: Facial recognition app criticized as creepy and invasive
- ^Swipe Buster
- ^Stalker-friendly app, NameTag, uses facial recognition to look you up online
- ^This Smart (but Unsettling) App Lets You Point Your Phone at People to Find Out Who They Are
- ^Truly.am Uses Facial Recognition To Help You Verify Your Online Dates
- ^3 Fascinating Search Engines That Search for Faces
- ^Wolfram has created a website that will identify any image you throw at it
- ^Machine Learning Helps Small Farmers Identify Plant Pests And Diseases
- ^Made for AdSense
- ^'Text of the GNU Free Documentation License'.
- ^'Creative Commons Attribution-ShareAlike 3.0 Unported License'.
- ^'Wikipedia:Reusing Wikipedia content'.
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