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▪Introduction
▪Bots 101
▪BOTS Act and what it covers (and doesn’t cover)
▪How bots can impact your major onsales and associated
mitigation strategies
▪StubHub case study
▪Q&A
Rami Essaid
CEO & Co-founder,
Distil Networks
Niels Sodemann
CEO & Co-founder,
Queue-it
Distil Networks is the only proactive and
precise bot mitigation solution for web
applications, mobile, and APIs.
▪ Founded in 2011
▪ 180 employees
▪ 5 offices
▪ $65 million in funding
The use of Queue-it has ensured online fairness
during high-demand online events for more
than 1.5 billion consumers worldwide.
▪Founded in 2010
▪63 employees
▪2016 TTA winner of Supplier of the Year
DenmarkSilicon Valley
Awards and Analyst Recognition
The only anti-bot solution to be included
in Gartner’s Online Fraud Detection
Market Guide 2-years running
“Distil’s ability to analyze behavior provides
the best chance of detecting and blocking
bot-driven attacks.”
“Clear innovation compared to
similar services.”
2017 WINNER: Best Fraud Prevention
Solution
Bots 101
Good bots
▪ Search engine crawling
▪ Power APIs
▪ Check system connectivity & status
A ‘bot’ is an automated program that runs on the internet
Bad bots
▪ Steal content
▪ Scan for vulnerabilities
▪ Perform fraud etc.
Traffic Distribution by Type, 2016
What concerns you most about the impact of bots on your
organization’s website(s)?
▪ Website Security
▪ Transaction Fraud
▪ Lost Revenue to Scalpers
▪ Poor Customer Experience
Survey
How are you addressing your bot concerns?
▪ Addressing now
▪ Plan to address this year
▪ Plan to address next year
▪ No plans to address
▪ Don’t know
Survey
The BOTS Act explained
▪ Prohibits the circumvention of a security
measure used to enforce ticket purchasing
limits for an event with an attendance
capacity > 200 pers.
▪ Prohibits the sale of an event ticket
obtained through such a circumvention
violation if the seller participated in, had the
ability to control, or should have known
about it
BOTS Act key prohibitions
▪ Scalping
▪ Sniping
▪ Spinning
20% of traffic bad bots
OWASP Automated Threats relevant to BOTS Act
Ticketing Bots Sophistication
Other legislation
▪ Must Have Protections
Prohibits the circumvention of a security
measure used to enforce ticket purchasing
limits for an event with an attendance capacity
> 200 pers.
Who does it impact? Primary Ticketing.
▪ Federal Trade Commission Audits:
Treats violations as unfair or deceptive acts
under the FTC Act. The bill provides authority to
the FTC and states to enforce against such
violations
▪ Must Have Protections
Prohibits the circumvention of a security
measure used to enforce ticket purchasing
limits for an event with an attendance
capacity > 200 pers.
Who does it impact? Secondary Ticketing.
▪ FTC Audits
Treats violations as unfair or deceptive
acts under the FTC Act, provides authority
to the FTC and states to enforce against
such violations
Prohibits the sale of an event ticket
obtained through such a circumvention
violation if the seller participated in, had
the ability to control, or should have
known about it
Can you enforce?
Who does this impact? Venues.
Can you comply? Can you cooperate?
If you aren’t bypassing security measures on a website in order to get
tickets, you aren’t breaking the law.
▪ Doesn’t eliminate the ability to buy & resell tickets obtained legally
▪ Doesn’t address historical relationships between sellers and reseller
▪ Doesn’t make the 40% of tickets not on public sale magically reappear
What the BOTS Act does not address
▪ Bots: scapegoat for a bigger problem in ticketing
▪ Humans + scripts: Cubefarm of people operating
bots with industry experts managing them
▪ 7 years + $25M later, FBI cracks down in 2010
▪ Ken Lowson now a wiseguy turned good
…and then there’s Wiseguys
Source: https://motherboard.vice.com/en_us/article/the-man-
who-broke-ticketmaster
▪ Precise log in, processing thousands of
purchases faster than any human
▪ Fooling CAPTCHA, with huge database
of combinations + operating at
lightning speed
▪ Securing best seats & selling them at a
steep markup for resale to the public
How they did it
Source: U.S. Attorney Office, The Star Ledger
Other ‘wiseguys’ like ShowsOnSale continue to pop up,
historically hard & expensive to prosecute
Why you can’t sell out in 20 minutes
Ticket onsales timeline
It’s not possible to sell out in less
than 2x basket/cart timeout time
More info: https://queue-
it.com/presentation-can-you-sell-out-in-2-
minutes-no-learn-why/
In other words, as a venue, organization or ticketing
software platform, it is still on you to defend against
this fraudulent activity during your major onsales
How bots abuse the logic of online ticket sales
Distil Networks Queue-it Distil Networks
Before onsale: Account Creation
Distil Networks Queue-it Distil Networks
Before onsale: Account Takeover
Distil Networks Queue-it Distil Networks
Account Takeover Attacks
Financial fraud
Targets are accounts at financial or
e-commerce services that store
users’ banking details. The attackers
perform unauthorized withdrawal
from bank accounts or fraudulent
transactions using the credit/debit
cards on file.
This includes virtual currency such
as bitcoin, in-game currency, and
rewards programs. This is all worth
real money.
Account Takeover Attacks: Why?
Spam
Spam can appear in any service
feature that accepts user-
generated content, including
discussion forums, direct
messages, and reviews/ratings,
degrading platform integrity
and brand reputation.
Phishing
Attackers can assume a
compromised user’s identity and
launch phishing attacks on
others in his/her social circle to
steal their credentials, personal
information, or sensitive data.
Account Takeover Bots Sophistication
Day of onsale / During onsale
Distil Networks Queue-it Distil Networks
Volume
Distil Networks Queue-it Distil Networks
Volume
▪ To achieve this, spinner bots create
many hits
▪ Queue-it can recognize this as
coming from same device and will
block
▪ 50% of blocking during a major
onsale is due to spinner bots
Speed
Distil Networks Queue-it Distil Networks
Speed
▪ Any speed scripted
bots arriving before
the event are placed in
the randomized pre-
event waiting room
before the event
launches
Pre-event queue page Live event queue page
During ticket purchase
Distil Networks Queue-it Distil Networks
Credit card fraud
Multiple purchases, exceeding limits
Distil Networks Queue-it Distil Networks
IP Address
Header & User Agent Information
Cookie Browser
200+ Attributes of data
Navigator, WebGL, Plugins, Audio, Video, etc.
Tamper proofing layer
Distil Hi-Def Fingerprint
Identification Must Go Beyond the IP Address...
StubHub Case Study
StubHub Case Study
Account Takeover and Fraud
“Distil helped us greatly reduce
transaction fraud and account
takeovers.”
Marty Boos
CIO, StubHub
StubHub Case Study
Ticket Scraping
“Competitive data mining for
ticket prices and inventory
information was a constant
threat.”
Marty Boos
CIO, StubHub
StubHub Case Study
Skewed Conversion Tracking
“The number of conversions were
greatly deflated because of bad bot
traffic. Now that we’re filtering bad
bot traffic out, we’re able to see
what the real data is and make
decisions based on real visitors.”
Marty Boos
CIO, StubHub
StubHub Case Study Conclusions
In reference to the before, wait and buyer journey:
“I like this multi-layered approach”
George Loyer, Director
Technical Operations, StubHub
Distil Networks Queue-it Distil Networks
Free trial Free trial
www.distilnetworks.com/trial www.queue-it.com/free-trial

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How bots impact major onsales [Webinar]

  • 1.
  • 2. ▪Introduction ▪Bots 101 ▪BOTS Act and what it covers (and doesn’t cover) ▪How bots can impact your major onsales and associated mitigation strategies ▪StubHub case study ▪Q&A
  • 3. Rami Essaid CEO & Co-founder, Distil Networks Niels Sodemann CEO & Co-founder, Queue-it Distil Networks is the only proactive and precise bot mitigation solution for web applications, mobile, and APIs. ▪ Founded in 2011 ▪ 180 employees ▪ 5 offices ▪ $65 million in funding The use of Queue-it has ensured online fairness during high-demand online events for more than 1.5 billion consumers worldwide. ▪Founded in 2010 ▪63 employees ▪2016 TTA winner of Supplier of the Year DenmarkSilicon Valley
  • 4. Awards and Analyst Recognition The only anti-bot solution to be included in Gartner’s Online Fraud Detection Market Guide 2-years running “Distil’s ability to analyze behavior provides the best chance of detecting and blocking bot-driven attacks.” “Clear innovation compared to similar services.” 2017 WINNER: Best Fraud Prevention Solution
  • 6. Good bots ▪ Search engine crawling ▪ Power APIs ▪ Check system connectivity & status A ‘bot’ is an automated program that runs on the internet Bad bots ▪ Steal content ▪ Scan for vulnerabilities ▪ Perform fraud etc. Traffic Distribution by Type, 2016
  • 7. What concerns you most about the impact of bots on your organization’s website(s)? ▪ Website Security ▪ Transaction Fraud ▪ Lost Revenue to Scalpers ▪ Poor Customer Experience Survey
  • 8. How are you addressing your bot concerns? ▪ Addressing now ▪ Plan to address this year ▪ Plan to address next year ▪ No plans to address ▪ Don’t know Survey
  • 9. The BOTS Act explained
  • 10. ▪ Prohibits the circumvention of a security measure used to enforce ticket purchasing limits for an event with an attendance capacity > 200 pers. ▪ Prohibits the sale of an event ticket obtained through such a circumvention violation if the seller participated in, had the ability to control, or should have known about it BOTS Act key prohibitions
  • 11. ▪ Scalping ▪ Sniping ▪ Spinning 20% of traffic bad bots OWASP Automated Threats relevant to BOTS Act
  • 14. ▪ Must Have Protections Prohibits the circumvention of a security measure used to enforce ticket purchasing limits for an event with an attendance capacity > 200 pers. Who does it impact? Primary Ticketing. ▪ Federal Trade Commission Audits: Treats violations as unfair or deceptive acts under the FTC Act. The bill provides authority to the FTC and states to enforce against such violations
  • 15. ▪ Must Have Protections Prohibits the circumvention of a security measure used to enforce ticket purchasing limits for an event with an attendance capacity > 200 pers. Who does it impact? Secondary Ticketing. ▪ FTC Audits Treats violations as unfair or deceptive acts under the FTC Act, provides authority to the FTC and states to enforce against such violations Prohibits the sale of an event ticket obtained through such a circumvention violation if the seller participated in, had the ability to control, or should have known about it
  • 16. Can you enforce? Who does this impact? Venues. Can you comply? Can you cooperate?
  • 17. If you aren’t bypassing security measures on a website in order to get tickets, you aren’t breaking the law. ▪ Doesn’t eliminate the ability to buy & resell tickets obtained legally ▪ Doesn’t address historical relationships between sellers and reseller ▪ Doesn’t make the 40% of tickets not on public sale magically reappear What the BOTS Act does not address
  • 18. ▪ Bots: scapegoat for a bigger problem in ticketing ▪ Humans + scripts: Cubefarm of people operating bots with industry experts managing them ▪ 7 years + $25M later, FBI cracks down in 2010 ▪ Ken Lowson now a wiseguy turned good …and then there’s Wiseguys Source: https://motherboard.vice.com/en_us/article/the-man- who-broke-ticketmaster
  • 19. ▪ Precise log in, processing thousands of purchases faster than any human ▪ Fooling CAPTCHA, with huge database of combinations + operating at lightning speed ▪ Securing best seats & selling them at a steep markup for resale to the public How they did it Source: U.S. Attorney Office, The Star Ledger
  • 20. Other ‘wiseguys’ like ShowsOnSale continue to pop up, historically hard & expensive to prosecute
  • 21. Why you can’t sell out in 20 minutes Ticket onsales timeline It’s not possible to sell out in less than 2x basket/cart timeout time More info: https://queue- it.com/presentation-can-you-sell-out-in-2- minutes-no-learn-why/
  • 22.
  • 23. In other words, as a venue, organization or ticketing software platform, it is still on you to defend against this fraudulent activity during your major onsales
  • 24. How bots abuse the logic of online ticket sales Distil Networks Queue-it Distil Networks
  • 25. Before onsale: Account Creation Distil Networks Queue-it Distil Networks
  • 26. Before onsale: Account Takeover Distil Networks Queue-it Distil Networks
  • 28. Financial fraud Targets are accounts at financial or e-commerce services that store users’ banking details. The attackers perform unauthorized withdrawal from bank accounts or fraudulent transactions using the credit/debit cards on file. This includes virtual currency such as bitcoin, in-game currency, and rewards programs. This is all worth real money. Account Takeover Attacks: Why? Spam Spam can appear in any service feature that accepts user- generated content, including discussion forums, direct messages, and reviews/ratings, degrading platform integrity and brand reputation. Phishing Attackers can assume a compromised user’s identity and launch phishing attacks on others in his/her social circle to steal their credentials, personal information, or sensitive data.
  • 29. Account Takeover Bots Sophistication
  • 30. Day of onsale / During onsale Distil Networks Queue-it Distil Networks
  • 32. Volume ▪ To achieve this, spinner bots create many hits ▪ Queue-it can recognize this as coming from same device and will block ▪ 50% of blocking during a major onsale is due to spinner bots
  • 34. Speed ▪ Any speed scripted bots arriving before the event are placed in the randomized pre- event waiting room before the event launches Pre-event queue page Live event queue page
  • 35. During ticket purchase Distil Networks Queue-it Distil Networks
  • 37. Multiple purchases, exceeding limits Distil Networks Queue-it Distil Networks
  • 38. IP Address Header & User Agent Information Cookie Browser 200+ Attributes of data Navigator, WebGL, Plugins, Audio, Video, etc. Tamper proofing layer Distil Hi-Def Fingerprint Identification Must Go Beyond the IP Address...
  • 40. StubHub Case Study Account Takeover and Fraud “Distil helped us greatly reduce transaction fraud and account takeovers.” Marty Boos CIO, StubHub
  • 41. StubHub Case Study Ticket Scraping “Competitive data mining for ticket prices and inventory information was a constant threat.” Marty Boos CIO, StubHub
  • 42. StubHub Case Study Skewed Conversion Tracking “The number of conversions were greatly deflated because of bad bot traffic. Now that we’re filtering bad bot traffic out, we’re able to see what the real data is and make decisions based on real visitors.” Marty Boos CIO, StubHub
  • 43. StubHub Case Study Conclusions In reference to the before, wait and buyer journey: “I like this multi-layered approach” George Loyer, Director Technical Operations, StubHub Distil Networks Queue-it Distil Networks
  • 44. Free trial Free trial www.distilnetworks.com/trial www.queue-it.com/free-trial