Distil Networks has produced their third annual Bad Bot Report. It's the IT Security Industry's most in-depth analysis on the sources, types, and sophistication levels of last year's bot attacks -- and there are serious implications for anyone responsible for securing websites and APIs.
Join Derek Brink, Vice President of Research at Aberdeen Group and Rami Essaid, CEO of Distil Networks as they dive into the data to reveal:
• 6 high-risk lessons every IT security pro must know
• How to quantify the risk and economic impact of bad bots for your organization
• How bot activity varies across websites based on industry and popularity
• The worst offending countries, ISPs, mobile operators, and hosting providers
Bad bots are the key culprits behind web scraping, brute force attacks, competitive data mining, online fraud, account hijacking, unauthorized vulnerability scans, spam, man-in-the-middle attacks, digital ad fraud, and downtime.
Distil Networks 2017 Bad Bot Report: 6 High Risk Lessons for Website DefendersDistil Networks
Did you know that 16.1% of bad bots now masquerade as mobile devices? Or that bad bot traffic is up 36.43% on the world’s largest site since 2015?
Distil Networks has produced their fourth annual Bad Bot Report. It is the IT security industry's most in-depth analysis on the sources, types, and sophistication levels of 2016’s bot attacks -- and there are serious implications for anyone responsible for securing websites and APIs.
Bad bots are expanding at an epidemic rate creating a scourge across the Internet. Bots are the primary culprits behind widespread attack vectors including web scraping, competitive data mining, account takeovers, transaction fraud, unauthorized vulnerability scans, spam, man-in-the-middle attacks, digital ad fraud, API abuse, and application denial of service.
David Monahan, research director of security and risk management at leading IT analyst firm Enterprise Management Associates (EMA), and Rami Essaid, CEO of Distil Networks, dived deep into the data to reveal:
- 6 high-risk threats every IT security pro must protect against
The top Open Web Application Security Project (OWASP)
- Automated Threats you need to start tracking right now
- How bad bot activity varies based on your industry and your vulnerability profile
- The worst offending bad bot countries, ISPs, mobile operators, and hosting providers
Field Guide To Preventing Competitor Price Scraping, Unwanted Transactions, B...Distil Networks
Like most ecommerce sites, StubHub’s competitors try to scrape their prices, and monitor inventory and customer behavior. Meanwhile, other nefarious actors attempt brute force attacks and transaction fraud. Learn advanced website security and web infrastructure management strategies from StubHub, the world’s largest ticket marketplace, and Distil Networks, the global leader in bot detection and mitigation.
Learn how to:
- Protect prices and product listings from being scraped or monitored by competitors
- Defend your site against brute force login attacks and carding
- Ensure brand secrets and pricing schedules are kept safe
- Increase revenues by ensuring traffic is from legitimate sources
- Protect your brand image, reputation and SEO rankings
Field Guide for Validating Premium Ad InventoryDistil Networks
Many of the current technologies used to detect fraud are great at detecting the amount of fraud (e.g., post-bid analysis). However, we need more technologies and techniques that focus on how to stop fraud before it happens. Having continuous, real-time data is important for this; but equally important are the policies and disclosures of the publishers and ad networks themselves.
Key Takeaways:
- The State of Digital Ad Fraud -- Terminology, landscape and trends
- The advertiser and publisher perspective -- Top issues and concerns
- Tools of the trade and best practices -- The different technologies and approaches to detecting and mitigating digital ad fraud
- Anatomy of a successful premium ad inventory program -- Whitepages’ guiding principles, policies and procedures
Better Metrics, Less Hacks: Online Travel and The Future of Web SecurityDistil Networks
30% of travel industry website visitors are unsavory competitors, hackers, spammers, and fraudsters. Fact is, travel suppliers, OTAs, and metasearch sites are all being scraped by bots which hurts their marketing metrics, SEO, website performance, and customer loyalty.
View this presentation to understand:
- The prevalence and impact of bots on your website
- How to improve your online KPIs
- How to identify and block fraudsters and scrapers
- When a web scraper is actually good
The future of online travel and website security
Distil Networks 2017 Bad Bot Report: 6 High Risk Lessons for Website DefendersDistil Networks
Did you know that 16.1% of bad bots now masquerade as mobile devices? Or that bad bot traffic is up 36.43% on the world’s largest site since 2015?
Distil Networks has produced their fourth annual Bad Bot Report. It is the IT security industry's most in-depth analysis on the sources, types, and sophistication levels of 2016’s bot attacks -- and there are serious implications for anyone responsible for securing websites and APIs.
Bad bots are expanding at an epidemic rate creating a scourge across the Internet. Bots are the primary culprits behind widespread attack vectors including web scraping, competitive data mining, account takeovers, transaction fraud, unauthorized vulnerability scans, spam, man-in-the-middle attacks, digital ad fraud, API abuse, and application denial of service.
David Monahan, research director of security and risk management at leading IT analyst firm Enterprise Management Associates (EMA), and Rami Essaid, CEO of Distil Networks, dived deep into the data to reveal:
- 6 high-risk threats every IT security pro must protect against
The top Open Web Application Security Project (OWASP)
- Automated Threats you need to start tracking right now
- How bad bot activity varies based on your industry and your vulnerability profile
- The worst offending bad bot countries, ISPs, mobile operators, and hosting providers
Field Guide To Preventing Competitor Price Scraping, Unwanted Transactions, B...Distil Networks
Like most ecommerce sites, StubHub’s competitors try to scrape their prices, and monitor inventory and customer behavior. Meanwhile, other nefarious actors attempt brute force attacks and transaction fraud. Learn advanced website security and web infrastructure management strategies from StubHub, the world’s largest ticket marketplace, and Distil Networks, the global leader in bot detection and mitigation.
Learn how to:
- Protect prices and product listings from being scraped or monitored by competitors
- Defend your site against brute force login attacks and carding
- Ensure brand secrets and pricing schedules are kept safe
- Increase revenues by ensuring traffic is from legitimate sources
- Protect your brand image, reputation and SEO rankings
Field Guide for Validating Premium Ad InventoryDistil Networks
Many of the current technologies used to detect fraud are great at detecting the amount of fraud (e.g., post-bid analysis). However, we need more technologies and techniques that focus on how to stop fraud before it happens. Having continuous, real-time data is important for this; but equally important are the policies and disclosures of the publishers and ad networks themselves.
Key Takeaways:
- The State of Digital Ad Fraud -- Terminology, landscape and trends
- The advertiser and publisher perspective -- Top issues and concerns
- Tools of the trade and best practices -- The different technologies and approaches to detecting and mitigating digital ad fraud
- Anatomy of a successful premium ad inventory program -- Whitepages’ guiding principles, policies and procedures
Better Metrics, Less Hacks: Online Travel and The Future of Web SecurityDistil Networks
30% of travel industry website visitors are unsavory competitors, hackers, spammers, and fraudsters. Fact is, travel suppliers, OTAs, and metasearch sites are all being scraped by bots which hurts their marketing metrics, SEO, website performance, and customer loyalty.
View this presentation to understand:
- The prevalence and impact of bots on your website
- How to improve your online KPIs
- How to identify and block fraudsters and scrapers
- When a web scraper is actually good
The future of online travel and website security
Did you know that 16.1% of bad bots now masquerade as mobile devices? Or that bad bot traffic is up 36.43% on the world’s largest site since 2015?
Check out these slides (based on the webinar) to get the latest insights into the new Distil Networks Bad Bot Report—the IT security industry's most in-depth analysis on the sources, types, and sophistication levels of bot attacks—and discover:
- 6 high-risk threats every IT security pro must protect against
- The top Open Web Application Security Project (OWASP) Automated Threats you need to start tracking right now
- How bad bot activity varies based on your industry and your vulnerability profile
- The worst offending bad bot countries, ISPs, mobile operators, and hosting providers
Presented at ad:techSF 2015 by Michael Tiffany, the co-founder and CEO of White Ops, a security company founded in 2013 to break the profit models of cybercriminals, and Brandon Miller, Sr. Engagement Strategist for Carmichael Lynch.
Very useful description and guidelines from the IAB about traffic fraud and digital ad fraud.
SOURCE: http://www.iab.net/member_center/traffic_of_good_intent_task_force
Your listing data is valuable. Scraping it NOT good for distribution of your listings to your competitors and fraudsters. Controlling your listing data is good business - protects your value, saves on costs and maximizes revenue. This session explores the specific of how one property portal found strong ROI with bot detection protecting their listings.
The Murky Waters of the Internet: Anatomy of Malvertising and Other e-Threats- Mark - Fullbright
company names mentioned herein are for identification and educational purposes only and are the property of, and may be trademarks of, their respective owners.
Data from FouAnalytics, on-site measurement and in-ad measurement was compared to DBM exchange data for 26 exchanges, 7.5 trillion impressions (30 day period) to analyze browser market share -- specifically Safari/iOS.
Findings include: 1) bots pretending to be Safari/iOS outnumber real Safari users 5 to 1, and 2) there is a 1.5X average surplus of Safari impressions available on exchanges compared to unique cookies.
Digital ad fraud is as rampant as other forms of fraud in other industries. what are some ways to think about prioritizing solving digital ad fraud, relative to other digital marketing activities that advertisers can spend money on?
why do hackers hack? of course, it's fun for them. But they hack to make tons of money with their unique skillset. How does hacking connect to ad fraud? Here are a few examples.
The FBI is the lead federal agency for investigating malicious cyber activity by criminals, nation-state adversaries, and terrorists. To fulfill this mission, the FBI often develops resources to enhance operations and collaboration. One such resource is the FBI’s Internet Crime Complaint Center (IC3) which provides the public with a trustworthy and convenient mechanism for reporting information concerning suspected Internet-facilitated criminal activity. At the end of every year, the IC3 collates information collected into an annual report.
Credit is due to all original authors and no financial gain was made from the blog, Simply sharing an interesting story for educational purposes,
Did you know 30% of Ecommerce website visitors are unsavory competitors, hackers, and fraudsters?
Fact is, online retailers are particularly susceptible to the effects of advanced bot threats, including competitive tactics like price scraping, product matching, variation tracking and availability targeting. Even worse, security breaches such as transaction fraud and account takeovers endanger the overall security of your website, customer base, and brand.
When aggressive scrapers caused repeated site slowdowns, Brian Gress, Director of IT Systems & Governance at Hayneedle, said enough was enough.
Key takeaways include how to:
- Stop competitors from scraping your prices and monitoring your inventory
- Reduce chargeback fees due to transaction fraud, carding and account hijacking
- Optimize your conversion funnel and enjoy clean analytics and KPIs
- Protect your brand image, reputation and SEO rankings
The Retail Strategy and Planning Series is designed to provide retail executives with the tactical tips, insights, metrics and trend data needed to guide 2017 strategies. Tune into Are Bot Operators Eating Your Lunch? and learn how to protect your brand image, reputation and SEO rankings from bad bots: rtou.ch/2c5cPmx.
Did you know that 16.1% of bad bots now masquerade as mobile devices? Or that bad bot traffic is up 36.43% on the world’s largest site since 2015?
Check out these slides (based on the webinar) to get the latest insights into the new Distil Networks Bad Bot Report—the IT security industry's most in-depth analysis on the sources, types, and sophistication levels of bot attacks—and discover:
- 6 high-risk threats every IT security pro must protect against
- The top Open Web Application Security Project (OWASP) Automated Threats you need to start tracking right now
- How bad bot activity varies based on your industry and your vulnerability profile
- The worst offending bad bot countries, ISPs, mobile operators, and hosting providers
Presented at ad:techSF 2015 by Michael Tiffany, the co-founder and CEO of White Ops, a security company founded in 2013 to break the profit models of cybercriminals, and Brandon Miller, Sr. Engagement Strategist for Carmichael Lynch.
Very useful description and guidelines from the IAB about traffic fraud and digital ad fraud.
SOURCE: http://www.iab.net/member_center/traffic_of_good_intent_task_force
Your listing data is valuable. Scraping it NOT good for distribution of your listings to your competitors and fraudsters. Controlling your listing data is good business - protects your value, saves on costs and maximizes revenue. This session explores the specific of how one property portal found strong ROI with bot detection protecting their listings.
The Murky Waters of the Internet: Anatomy of Malvertising and Other e-Threats- Mark - Fullbright
company names mentioned herein are for identification and educational purposes only and are the property of, and may be trademarks of, their respective owners.
Data from FouAnalytics, on-site measurement and in-ad measurement was compared to DBM exchange data for 26 exchanges, 7.5 trillion impressions (30 day period) to analyze browser market share -- specifically Safari/iOS.
Findings include: 1) bots pretending to be Safari/iOS outnumber real Safari users 5 to 1, and 2) there is a 1.5X average surplus of Safari impressions available on exchanges compared to unique cookies.
Digital ad fraud is as rampant as other forms of fraud in other industries. what are some ways to think about prioritizing solving digital ad fraud, relative to other digital marketing activities that advertisers can spend money on?
why do hackers hack? of course, it's fun for them. But they hack to make tons of money with their unique skillset. How does hacking connect to ad fraud? Here are a few examples.
The FBI is the lead federal agency for investigating malicious cyber activity by criminals, nation-state adversaries, and terrorists. To fulfill this mission, the FBI often develops resources to enhance operations and collaboration. One such resource is the FBI’s Internet Crime Complaint Center (IC3) which provides the public with a trustworthy and convenient mechanism for reporting information concerning suspected Internet-facilitated criminal activity. At the end of every year, the IC3 collates information collected into an annual report.
Credit is due to all original authors and no financial gain was made from the blog, Simply sharing an interesting story for educational purposes,
Did you know 30% of Ecommerce website visitors are unsavory competitors, hackers, and fraudsters?
Fact is, online retailers are particularly susceptible to the effects of advanced bot threats, including competitive tactics like price scraping, product matching, variation tracking and availability targeting. Even worse, security breaches such as transaction fraud and account takeovers endanger the overall security of your website, customer base, and brand.
When aggressive scrapers caused repeated site slowdowns, Brian Gress, Director of IT Systems & Governance at Hayneedle, said enough was enough.
Key takeaways include how to:
- Stop competitors from scraping your prices and monitoring your inventory
- Reduce chargeback fees due to transaction fraud, carding and account hijacking
- Optimize your conversion funnel and enjoy clean analytics and KPIs
- Protect your brand image, reputation and SEO rankings
The Retail Strategy and Planning Series is designed to provide retail executives with the tactical tips, insights, metrics and trend data needed to guide 2017 strategies. Tune into Are Bot Operators Eating Your Lunch? and learn how to protect your brand image, reputation and SEO rankings from bad bots: rtou.ch/2c5cPmx.
Ensuring Property Portal Listing Data SecurityDistil Networks
Securing your property portal listing data is harder than ever. Why? Web scraping is cheap and easy. Bots simply steal whatever content they’ve been programmed to fetch – listing text, photos, and other data that should only be available to paid subscribers and legitimate consumers.
Review this presentation to learn how to avoid expensive litigation by protecting your content before the theft occurs. Review the latest research on how non-human traffic has evolved over the past few years and best practices to protect both copyrighted and non-copyrightable content.
Hear the results from research conducted with property portal executives on the current state of anti-scraping efforts.
Ana White OPS - the bot baseline - fraud in digital advertising - 2015Romain Fonnier
Advertisers will lose $6.3 billion globally to bots in 2015
The ANA partnered with White Ops, a security company with experience eradicating ad fraud on an initiative to determine the level of bot fraud occurring across the digital advertising industry. The ANA recruited 36 member companies to participate. The participants worked with a wide variety of agency partners, including media agencies, full-service agencies, and in-house agencies. White Ops tagged participants' creative in August and September 2014 (181 U.S. campaigns) to determine fraud activity. The study measured 5.5 billion impressions in 3 million domains over 60 days.
The Association of National Advertisers (ANA) publishes a study about bot traffic in Digital Advertising, in collaboration with White Ops.
At current bot rates, advertisers will lose approximately $6.3 billion globally to bots in 2015 (applying the bot levels observed across the study to the estimated $40 billion spent globally on display ads and the estimated
$8.3 billion spent globally on video ads).
The Bot Baseline - Fraud in Digital Advertisingyann le gigan
>>The Bot Baseline: Fraud in Digital Advertising
[ana.net 09.12.14]
Advertisers will lose $6.3 billion globally to bots in 2015.
http://www.ana.net/content/show/id/botfraud
EMA surveyed IT and IT security respondents to learn how organizations are responding to the threat of bot attacks.
These slides based on the webinar from leading IT research firm Enterprise Management Associates provides highlights from this research.
Adjusting Your Security Controls: It’s the New NormalPriyanka Aash
Most of us learned cybersecurity practices based on the application of controls that were part of a framework. Once the framework was implemented then the controls didn’t change often. It’s time to adjust our thinking and recognize that on-going adjustment of controls may be a better indicator of cyber-maturity than adherence to any framework.
(Source: RSA USA 2016-San Francisco)
AD Fraud and AD Blockers have been the biggest threat for Digital Advertising industry. The whitepaper discusses 9mediaOnline's initiatives to tackle the threats.
Most notable apt_ attacks_of_2015_and_2016 predictionsCyphort
This season is the time to consider the year in review and the year to come. Nick will review the biggest malware attacks and breaches of the year, including OPM breach, Apple App store malware, Ashley Madison and Hacking Team. Then it’s on to the future as Nick unveils his security predictions for 2016.
ThreatMetrix ARRC 2016 presentation by Ted EganKen Lam
ThreatMetrix® is the market-leading cloud solution for authenticating digital personas and transactions on the Internet.
ThreatMetrix analyzes more than 15 billion transactions annually, from 30,000 websites across 4,000 companies globally through the Digital Identity Network. ThreatMetrix secures businesses and end users against account takeover, payment fraud and fraudulent account registrations resulting from malware and data breaches. Key benefits include an improved customer experience, reduced friction, revenue gain, and lower fraud and operational costs.
easyjet’s journey to protect its booking engine - the slides for the Tnooz / ...tnooz
Did you know 30% of travel industry website visitors are unsavory competitors, hackers, spammers, and fraudsters?
Worse yet, unwanted traffic from web-scraping bots can negatively impact revenue management targets and yields across multiple distribution channels.
Join Anthony Drury, Director, Head of Business, at easyJet, as he takes you through his strategy to ensure easyJet customers -- wherever they are booking -- get price and availability content through approved API channels. The approach of easyJet ensures that all bookings are screened for fraudulent activity and blocks are added to restrict screen scraping.
Watch the reply (and see the slides) of this TLearn webinar — sponsored by Distil Networks — to learn how to:
Eliminate the cascading negative effects of screen-scraping bots
Optimize revenue while simultaneously improving the customer experience
Strengthen travel industry partnerships by creating a level playing field
Improve website KPIs like look-to-book ratios, SEO page rank, cross-selling/up-selling, site speed and conversion rates
Our panelists were:
Anthony Drury, Director, Head of Business, easyJet
Rami Essaid, CEO and Co-Founder, Distil Networks
Sean O'Neill, Moderator and Editor in Chief, Tnooz
Gene Quinn, Producer and CEO, Tnooz
This webinar took place on 13 December 2016.
Many posit that cloud architectures/business models will bring about a more patient, gradual availability model, where failures are either rendered unimportant because of mass replication or load shifting, or they are tolerated in exchange for cheaper services.
Whatever the long term promise, the fact is that outages and performance degradation continue to dog the industry. According to the 2017 Uptime Institute Survey, 92% of management are more concerned about outages than one year ago.
As your website, mobile app, and the APIs that power them become more distributed, failures resonate outward and have an ever-greater impact on your business. You no longer can just worry about your own on-premise and cloud infrastructure, but must also be aware of your company’s third party SaaS vendors and THEIR infrastructure too. Join Andy Lawrence, Vice President at 451 Research, Engin Akyol, CTO of Distil Networks, and Scott Hilton, VP & GM Product Development of Oracle Dyn for a thought-provoking conversation about next-generation website resiliency.
Key takeaways include:
- Why you need to treat the risks of binary failures and degradations differently
- Resiliency architectures for cloud-optimized and cloud native applications
- The importance of software-defined components such as global traffic management, application synchronization, and guaranteed data consistency
- How Content Delivery Networks, DDoS protection, and Bot Mitigation complement each other to deliver increased website performance
- How non-traditional disruptions like the recent hurricanes can affect your network resiliency
- Case Study: Distil Networks field guide for building out a global platform
Are Bad Bots Destroying Your Conversion Rate and Costing You Money?Distil Networks
When aggressive scrapers caused slowdowns on iCruise.com, Antoine Zammit, VP of technology at its parent company WMPH Vacations, said enough was enough.
Distil Networks is a bot detection and mitigation specialist. It works with some of travel’s biggest names such as Sabre, Skyscanner, Amadeus and Lufthansa as well as specialist operators of scale, such as WMPH.
In a tnooz workshop which took place this week, Elias Terman, Vice President of Marketing, Distil Networks gives a data-driven overview of the current state of the bad bot landscape, the recent shift of bad bot activity to mobile and new bot-driven scams such as spinning.
Antoine Zammit goes on to present a case study outlining how badly were hammering his web sites and the many benefits which using Distil to beat the scrapers brought to the business, including more leads, better conversions, improved site speed and a better experience for customers and partners.
How the BOTS Act Impacts Premium Onsales and the Ticketing Industry EcosystemDistil Networks
“Bots” first entered popular consciousness last year with the passing of the BOTS Act, and the proliferation of messaging bots. However, those of us in the ticketing industry have been dealing with bots for years.
Rami Essaid, CEO of Distil Networks, and Niels Sodemann, CEO of Queue-it presented the evolution of good and bad bots, their impact on the ticketing ecosystem, current and pending legislation, and innovative onsale bot mitigation strategies.
The notion of API security & management in which enterprise architects, app developers and IT security experts work in harmony is great in theory. The reality, according to new research from Ovum, is much more scattered.
Watch Ovum IT Security Analyst Rik Turner as he dives into new primary research on how companies are really managing API security. Then watch the lively conversation as Rami Essaid, CEO of Distil Networks, explains why APIs are becoming such an increasingly attractive target for hackers. Lastly, Shane Ward, Senior Director of Technology at GuideStar, will share best practices and pitfalls to avoid when managing both free and paid access to your APIs.
Key takeaways will include:
- How to benchmark your organization's API security and internal processes against your peers
- Why CIO and/or CISO visibility into how API security is managed across the enterprise is so critical
- How to map your business requirements to your API security strategy
- A primer on API security controls, including geo/org fencing, token governance, dynamic access control lists and advanced rate limiting
- Why heavy "application services governance" software suites are the wrong approach
Learn more about Distil Networks API Security
http://www.distilnetworks.com/api-security/
Using Permaculture to Cultivate a Sustainable Security ProgramDistil Networks
For centuries mankind’s greatest innovations came about through careful examination of natural systems. Information Security is no different. This presentation will explore how information security professionals can use the agricultural concept of “permaculture” (the practice of using design principles observed in natural ecosystems) to cultivate a sustainable, data-driven security program.
In this fast-paced, thought-provoking session you’ll learn:
- The basic tenets of permaculture and how they apply to information security strategy
- How to build a security program that fosters collaboration, coupled with feedback loops and metrics
- How embracing differences within an organization can lead to increases in productivity and security
- Effective policy and control designs that enhance business objections as opposed to stifling them
Keeping up with the Revolution in IT SecurityDistil Networks
For many of today’s businesses, web applications are their lifeline. The growing complexity involved in keeping these applications fast, secure, and available can be seen as a byproduct of shifts in how these apps are developed, deployed, and attacked. This discussion will explore how high level trends in today’s web environments and the cyber attack landscape are shaping tomorrow’s application security solutions.
Key Takeaways:
- Trends in contemporary web applications that are forcing security evolution
- How today’s cyber attack landscape impacts cybersecurity
- What modern IT security solutions look like
- Distil Networks Overview
Tune in for the Ultimate WAF Torture Test: Bots Attack!Distil Networks
Are WAFs the best approach for defending your website against malicious bots? How can you optimize your WAF for bot detection and mitigation? Watch this webinar and learn practical tips on how to defend your web infrastructure against the OWASP Top 10 as well as brute force attacks, web scraping, unauthorized vulnerability scans, fraud, spam and man-in-the-middle attacks.
World renowned expert and author of Web Application Firewalls: A Practical Approach, John Stauffacher, shares his expertise. He has over 17 years of experience in IT Security and is a certified Network Security and Engineering specialist.
Learn more : http://resources.distilnetworks.com/h/i/95930604-tune-in-for-the-ultimate-waf-torture-test-bots-attack/177622
Cleaning up website traffic from bots & spammersDistil Networks
Did you know 30% of travel industry website visitors are unsavory competitors, hackers, spammers, and fraudsters?
The fact is, travel suppliers, OTAs, and meta search sites are all being scraped by bots which hurts their marketing metrics, SEO, website performance, and customer loyalty.
You can protect your site from web-scraping competitors and fraudsters.
Watch this presentation to understand:
- The prevalence and impact of bots on your website
- How to identify and block fraudsters and scrapers
- When a web scraper is actually good
- The future of online travel and website security
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
ER(Entity Relationship) Diagram for online shopping - TAEHimani415946
https://bit.ly/3KACoyV
The ER diagram for the project is the foundation for the building of the database of the project. The properties, datatypes, and attributes are defined by the ER diagram.
3. 2015 Bad Bot Landscape Report
Methodology
Study is based on anonymized
data from:
74 billion bot requests
Real web traffic from hundreds
of customers
17 global datacenters
5. Bad Bot, Good Bot and Human Traffic, 2015
Good
Bots
Humans
Bad
Bots
19% of Web Traffic Causes The Following
Problems
6. Humans take back the
Web with 54.35% of all
web traffic
But why?
2013 vs. 2014 vs. 2015
7. Humans internet users
grew 8% in 2105
Especially in countries
such as China, India,
Indonesia, etc.
2015 Saw Tremendous Growth in Human
Users
Source: http://www.statista.com/statistics/273018/number-of-internet-users-worldwide/
Number of internet users worldwide from 2000 to 2015 (in millions)
8. Meanwhile, Bot Operators Were Updating their Software
Bot software used in
2015 was vastly more
advanced than in
previous years
This was a shift in
focus from quantity of
bots to quality
11. Traffic by Type of Site, 2014 vs 2015
In 2015 the most targeted verticals
were digital publishing and real
estate
12. Traffic by Size and Type of Site, 2014 vs 2015
More specifically,
small digital publishers and
large real estate sites
were hardest hit in 2015
13. Defense Tactics - Know your Industry
Understand how great of a risk bots pose to your industry
Learn how bots attack sites similar to yours
Industry Most Common Bot Problem
Ecommerce Price scraping
Digital Publishing Content theft
Travel Aggregation and loss of up-sell / cross-sell opportunities
Finance Brute force attacks
Real Estate Scraping Listing Information
15. China and US Home to the Worst Bad Bot Originators
Companies from China and the
US dominate the list of
organizations with the most bad
bot traffic
The US is always on top of this list,
China is new
Chin
a
Chin
aChin
a
Chin
a
Chin
a
Chin
a
US
US
US
US
US
US
US
16. Worst Bad Bot Originators 2013 to 2015
Amazon makes the Top 5 for
three years in a row
Verizon Business and residential
ISPs Comcast, Time Warner
Cable clean up their acts
17. Mobile Carriers with the Most Bad Bots
Dutch carriers emerge as a new
hotbed for mobile client based bots
The four largest mobile carriers in the
US are all present on this year’s list
● Verizon Wireless
● AT&T
● T-Mobile
● Sprint PCS
18. Countries Originating the Most Bad Bots, 2014 vs 2015
The US still tops the list of
countries with the most bad bots
Israel, India, and the UK make the
biggest gains
Germany, Canada, Russia, and
the Netherlands move down the
list
19. Countries Most Often Blocked by Geofencing
Rules
2014 saw customers blocking
developing countries and
stereotypical “bad guys”
2015 saw customers blocking
more industrialized countries
20. Top “Bad Bot GDP’s” of 2014 and 2015
Maldives rules the roost with
526 bad bots per human online
user
The average number of bots
per human user on this list
increased from 26.1 bots/user
to 99.2 bots/user
21. Defense Tactics - Know Their Origins
Does your business model support all regions?
Is it normal that your customer is originating from a
commercial data center or cloud provider?
Are there any reasons visitors to your site should go
through a TOR network?
Analyze your business. Then trim the fat.
23. The Majority of Bots are Now APBs
Advanced Persistent Bots
(APBs) are becoming more
commonplace
APBs are defined as having
one or more of the following
abilities:
● Mimicking human behavior
● Loading JavaScript and external
assets
● Cookie support
● Browser automation
● IP spoofing and rotation
● User agent spoofing and rotation
● Distributed attacks (using many IP
addresses at once)
24. Loading Assets & Bots Mimicking Humans
% of bots able to load external
Assets (e.g. JavaScript)
% of bots able to mimic
human behavior
These bots will skew marketing tools such as
(Google Analytics, A/B testing, conversion
tracking, etc.)
These bots will fly under the radar of most
security tools
25. That Majority of Bad Bots Now Use Multiple IP
Addresses
Bots which dynamically rotate IP addresses, or distribute attacks are
significantly harder to detect and mitigate
26. Bad Bots Obtain New User Agents to Persistently Attack Websites
Over 36% of bots use multiple user agents to evade detection and overcome
blacklisting and custom blocking rules
28. Defense Tactics - Defeat APBs with
Fingerprinting
Real-analysis and device fingerprinting allows security solutions to
track bots even if they
● Assume new identities
● Mimic human behavior
● Rotate IP Addresses
● Distribute their attack over
Many IP addresses
29. 29
Quantifying the Risk of Bad Bots
Derek E. Brink, CISSP
Vice President and Research Fellow, Information Security and IT GRC
Derek.Brink@aberdeen.com
www.linkedin.com/in/derekbrink
April 2016
Derek E. Brink, CISSP
Vice President and Research Fellow, Information Security and IT
GRC
Derek.Brink@aberdeen.com
www.linkedin.com/in/derekbrink
April 2016
Quantifying the Risk of Bad Bots
30. 30
Context: The Dual Roles of Modern Information Security Professionals
Subject Matter Experts Trusted Advisors
31. 31
Two Questions Modern Information Security Professionals Must Answer
What is the risk of [x]? How does an investment in [y]
quantifiably reduce that risk?
32. 32
Three Challenges Modern Information Security Professionals Must Overcome
What is the risk of [x]?
• A language challenge
• A measurement challenge
How does an investment in [y]
quantifiably reduce that risk?
• A communications challenge
33. 33
The Threat of Bad Bots: A Material Percentage of Web Site Traffic
Bad Bots Good Bots Humans
18.6% 27.0% 54.4%
Source: Distil Networks, 2016 Bad Bot Landscape Report
34. 34
Web Site Vulnerabilities and Exploits Related to Bad Bots
Bad Bot Vulnerabilities and Exploits (illustrative)
Web
Security
Brute force login; account takeover; fraudulent account creation
Man-in-the-browser attacks
Reconnaissance attacks; application coding exploits
Application denial of service
Spam
Web
Scraping
Content theft
Price scraping
API scraping
Competitive data mining
Waste
and Abuse
Web site performance
Negative SEO
Skewed web site analytics
Fraud
Fraudulent transactions
Digital ad fraud
Source: adapted from Distil Networks, 2016 Bad Bot Landscape Report; Aberdeen Group, April 2016
35. 35
The Risk of Bad Bots: How Likely? What Business Impact?
Bad Bot Vulnerabilities and Exploits (illustrative) Likelihood Impact
Web
Security
Brute force login; account takeover; fraudulent account creation
How Likely
is it that these
Vulnerabilities are
Successfully
Exploited?
What is the
Business Impact,
when Successful
Exploits Do Occur?
Man-in-the-browser attacks
Reconnaissance attacks; application coding exploits
Application denial of service
Spam
Web
Scraping
Content theft
Price scraping
API scraping
Competitive data mining
Waste
and Abuse
Web site performance
Negative SEO
Skewed web site analytics
Fraud
Fraudulent transactions
Digital ad fraud
Source: adapted from Distil Networks, 2016 Bad Bot Landscape Report; Aberdeen Group, April 2016
36. 36
Qualitatively, Four Categories for the Business Impact of Bad Bots
• Additional cost
• Data breaches
• Loss of current revenue
• Loss of future revenue
37. 37
At a Qualitative Level, the Business Impact of Bad Bots
Bad Bot Vulnerabilities and Exploits (illustrative) Likelihood Incr.
Cost
Data
Loss
Curr
.Rev
.
Fut.
Rev.
Web
Security
Brute force login; account takeover; fraudulent account creation
How Likely
is it that these
Vulnerabilities are
Successfully
Exploited?
X X X X
Man-in-the-browser attacks X X X X
Reconnaissance attacks; application coding exploits X X X X
Application denial of service X X X
Spam X X
Web
Scraping
Content theft X X X X
Price scraping X X X X
API scraping X X X X
Competitive data mining X X X X
Waste
and Abuse
Web site performance X X X
Negative SEO X X X
Skewed web site analytics X X X
Fraud
Fraudulent transactions X X X
Digital ad fraud X X
Source: adapted from Distil Networks, 2016 Bad Bot Landscape Report; Aberdeen Group, April 2016
38. 38
There are Many Approaches to Measuring and Communicating
Risk that We’re All Familiar With … But These Don’t Really Work!
Techno-babble
about threats,
vulnerabilities,
and exploits
Headlines
of recent breach
disclosures
ALE-style
calculations
Averages,
based on surveys
Crackpot rigor
Qualitative
“heat
maps”
“$201 / record”
39. 39
With These Approaches, Most Decisions About Security-Related Risks
are Still Made by the Intuition and Gut Instinct of the HiPPO …
(The Highest-Paid Person in the
Organization)
40. 40
Let’s Try to Raise the Bar for Making Important Decisions About
Security-Related Risks, Beyond Mere Intuition and Gut Instinct!
Source: http://dilbert.com/strip/2016-03-24
41. 41
Modeling the Risk of Bad Bots
• Let’s estimate the risk (both likelihood, and impact)
of bad bots, using these four high-level categories:
• Additional cost
• Data breaches
• Loss of current revenue
• Loss of future revenue
• Remember that risk is inherently about making
decisions in the face of uncertainties
• Models are not about precision …
• … they are about making better-informed
decisions about risk …
• … most of which are based primarily on intuition
42. 42
Monte Carlo Modeling is a
Proven, Widely Used Solution for our
Measurement Problem
• In a nutshell: we can carry out the same familiar
estimates and computations we have traditionally
made
• Except that we do this for many (say, ten thousand)
scenarios, each of which uses a random value from our
estimated ranges and distributions
• The results of these computations are likewise not a
single, static number – which says nothing about risk
• The output is also a range and distribution, from which we
can readily describe both probabilities and business impact
• I.e., the results can be expressed in terms of risk – which is
exactly what we are looking for!
43. 43
We’re All Familiar with This Approach, Too – Note the
Inclusion of Both Likelihood and Impact in This Illustrative
Example!
44. 44
Just So Long As We Don’t Do This …
Remember, All Models Are Wrong – But Some Can Be Useful!
Source: http://dilbert.com/strip/2016-04-01
45. 45
Risk of Bad Bots
Additional Cost
Overprovisioning of web site infrastructure
Web site
contribution
to annual
revenue
Data breaches Loss of Current Revenue Loss of Future Revenue
Factoring the Risk of Bad Bots – Conceptual
$ $ $ $
Source: Aberdeen Group, April 2016
% of annual
revenue
spent on web
site
infrastructure
% of web
traffic
represented
by bad bots
Web site
contribution
to annual
revenue
% of annual
revenue
spent of
website
marketing
% of web
traffic
represented
by bad bots
# of
“incidents”
represented
by bad bots
(i.e., an
attempt)
Likelihood of
a “breach”
(i.e., a
success)
Business
impact of a
breach
Web site
contribution
to annual
revenue
Web site
contribution
to annual
revenue
Time that
web site is
negatively
affected (e.g.,
downtime or
slowdown)
% of revenue
lost during
the period of
downtime or
slowdown
% of web
traffic
represented
by bad bots
% of website
revenue lost
as a result of
fraud
Wasted web site marketing Cost of data breaching Downtime and slowdown Fraudulent transactions
$
46. 46
Factoring the Risk of Bad Bots – Computational
Source: Aberdeen Group, April 2016
47. 47
Run the Numbers – The Results Provide Invaluable
Insights into the Risk of Bad Bots
Histogra
m
Probability
Curve
Source: Aberdeen Group, April 2016
49. 49
Quantifying the Risk of Bad Bots …
and Addressing the Two Fundamental Questions
• For a web site contributing $100M / year in revenue
(% of web site annual revenue)
• Median annual reduction in risk: about 18 times
• Median annual return on investment: about 22 times
• Note: the risk owner still needs to decide …
Source: Aberdeen Group, April 2016
51. Distil Networks 2016 Bad Bot Report: Quantifying the Risk and Economic Impact of Bad Bots
Distil Networks has produced their third annual Bad Bot Report. It's the IT Security Industry's most in-depth analysis on the sources, types, and sophistication levels
of last year's bot attacks -- and there are serious implications for anyone responsible for securing websites and APIs.
Join Derek Brink, Vice President of Research at Aberdeen Group and Rami Essaid, CEO of Distil Networks as they dive into the data to reveal:
● 6 high-risk lessons every IT security pro must know
● How to quantify the risk and economic impact of bad bots for your organization
● How bot activity varies across websites based on industry and popularity
● The worst offending countries, ISPs, mobile operators, and hosting providers
Bad bots are the key culprits behind web scraping, brute force attacks, competitive data mining, online fraud, account hijacking, unauthorized vulnerability scans,
spam, man-in-the-middle attacks, digital ad fraud, and downtime. Register today to gain actionable insights on how to defend your websites and APIs for the coming
year of threats.
Abstract
52. 52
Modeling the Risk of Bad Bots: Additional Cost (1)
1. Web site contribution to annual revenue ($ / year)
• For the purposes of this analysis, let’s model based on $100,000,000
2. % of annual revenue spent on web site infrastructure
• “Infrastructure” = all related people, process, technologies
• Model as 4% - 6%; uniform distribution (analyst estimates)
3. % of web traffic represented by bad bots
• Model as 0% - 50%; most likely 18.6%; beta distribution (Distil Networks)
4. Annual cost of overprovisioning web site infrastructure
• (1) x (2) x (3)
Source: Aberdeen Group, April 2016
53. 53
Modeling the Risk of Bad Bots: Additional Cost (2)
1. Web site contribution to annual revenue ($ / year)
• For the purposes of this analysis, let’s model based on $100,000,000
2. % of annual revenue spent on web site marketing
• “Marketing” = all costs related to driving web traffic
• Model as 5% - 15%; normal distribution (analyst estimates)
3. % of web traffic represented by bad bots
• Model as 0% - 50%; most likely 18.6%; beta distribution (Distil Networks)
4. Annual cost of wasted web site marketing (e.g., negative SEO, skewed web site
analytics, etc.) resulting from bad bots
• (1) x (2) x (3)
Source: Aberdeen Group, April 2016
54. 54
Modeling the Risk of Bad Bots: Data Breaches
1. # of “incidents” represented by bad bots (i.e., an attempt)
• One extreme: all bad bots = 1 incident
• The other extreme: every bad bot = 1 incident
• My modeling choice: 1 (one incident per year) to 12 (one incident per month); beta distribution
2. Likelihood of a “breach” (i.e., a success)
• 0% - 100%; mostly likely 30%; beta distribution (Verizon DBIR)
3. Business impact of a data breach
• Expressed as a function of the number of records (Verizon DBIR)
• Use 100,000 – 1,000,000 records as the range (Privacy Rights Clearinghouse)
4. Annual cost of data breaches resulting from bad bots
• (1) x (2) x (3)
Source: Aberdeen Group, April 2016
55. 55
Modeling the Risk of Bad Bots: Loss of Current Revenue (1)
• Bad bots → negative impact on web site availability and performance
• Combination of downtime and slowdown results in web site customers abandoning what they were trying to do
… which leads to lost revenue during this time of disruption
1. Web site contribution to annual revenue ($ / year)
• For the purposes of this analysis, let’s model based on $100,000,000
2. Time that web site is negatively affected (e.g., downtime or slowdown) (hours / year)
• For simplicity, assume 24x7x365 operation
• Model as 0 – 720 hours; most likely 200 hours; beta distribution (Arbor Networks)
3. % of revenue lost during the period of downtime or slowdown
• Model as 1% to 30%; most likely 3%; beta distribution (analyst estimates)
4. Loss of current revenue as a result of bad bots
• (1) x (2) x (3)
Source: Aberdeen Group, April 2016
56. 56
Modeling the Risk of Bad Bots: Loss of Current Revenue (2)
• Bad bots → fraudulent transactions
1. Web site contribution to annual revenue ($ / year)
• For the purposes of this analysis, let’s model based on $100,000,000
2. % of web site traffic represented by bad bots
• 0% - 50%; most likely 18.6%; beta distribution (Distil Networks)
3. % of web site revenue lost as a result of fraud from bad bot traffic
• Model as 0% – 10%; most likely 1.4%; beta distribution (Kroll, Global Fraud Survey)
4. Loss of current revenue as a result of bad bots
• (1) x (2) x (3)
Source: Aberdeen Group, April 2016
57. 57
Final Important Detail: Effectiveness of Countermeasures for Bad Bots
• Status quo = manual blocking
• 0% - 50%; most likely 12%; beta distribution
• Assume that the annual cost of manual blocking is already
baked in to the cost of overprovisioned web site infrastructure
• Future state = use the Distil Networks solution
• 90% - 100%; mostly likely 99.9%; beta distribution
• The model for the future state must also incorporate
the annual cost of the Distil Networks solution
Source: adapted from Distil Networks, 2016 Bad Bot Landscape Report; Aberdeen Group, April 2016