Airlines Have a Big Problem with Bad Bots

Bad bots account for 43.9% of all traffic on their websites, APIs, and mobile apps, according to a new analysis of 100 airlines.

As airlines are ramping up in preparation of the holiday travel season, bad bots are ramping up their activity on airlines websites, mobile apps, and APIs. Analysts in the research arm of Distil Networks today published a study called How Bots Affect Airlines, in which they analyzed 7.4 billion requests from 180 domains on 100 international airlines. They found malicious bots make up 43.9% of all airline web traffic — about double the 21.8% average for all industries. The highest bad bot percentage for one airline? About 94.6%.
In almost 30% of the domains that analysts studied, bad bots made up more than half of all traffic. Most bots (84.3%) on airline domains are moderate or advanced, and harder to detect. The highest proportion of bad bot traffic stems from the US (25.6%), followed by Singapore (15%).
At the core of the problem are airline websites and mobile apps, which serve as the home for flight data presented to customers: seat availability, pricing, booking processes, discounts. Some airlines use their own booking engines; others use third-party services for booking.
Online travel agencies (OTAs) like Expedia and Booking.com are channels designed to sell flights and process payment on behalf of airlines. Under commercial agreements, OTAs can scrape flight data in exchange for fees. Travel aggregators like Kayak and Skyscanner also display flight information but redirect shoppers to airlines websites to finalize their booking.
Four attack groups deploy bots against airlines: unauthorized OTAs and travel aggregators avoid fees and scrape flight information and fares, then hold seats to resell them later (a process known as seat spinning). Competitor airlines also scrape flight data and fares to gain market intelligence and hold seats to block legitimate purchases. Criminals target loyalty programs with account takeover to steal points, and conduct credit card and loyalty program fraud.
Keeping Up with Competition
Airlines are hot targets because the value of the goods they sell has a finite timeline, says Edward Roberts, director of product marketing at Distil Networks. Theres only a certain period of time a flight ticket will be valid, and price changes frequently based on destination and departure. Further, an ecosystem of OTAs and aggregators is constantly collecting data.
The more competitive the market, the more competitive routes you fly, the more bots are competitive, he explains. Every airline has some combination of authorized and unauthorized data scraping on their sites. Bad bots can result in higher fees for third-party booking engines because they make it appear as though far more people are viewing than booking flights.
Its called a look-to-book ratio. Every time someone looks at a flight listing and asks how much, thats considered a look, Roberts says. There should be one flight booked for every 100 looks, a number all airlines measure their progress against. If that ratio suddenly spikes, you know thats bot behavior, he continues. Thats not human behavior.
The business implications of bad bots are significant, says Roberts. Information from airlines states the financial cost and burden of this is getting to that point where theyre saying we actively need to solve this problem because the cost to business is getting too large, he adds.
Loyalty rewards programs are hard hit by cybercriminals looking to monetize account access. If they can brute-force credentials and break in, they can steal and monetize points and miles.
Anecdotally, airlines have a lot of seven-digit fraud coming through loyalty programs that theyre concerned about, Roberts points out. Larger airlines typically have more value in their online loyalty program accounts, so those typically see larger amounts of account takeover attacks.
Attackers targeting the airline industry are becoming more advanced over time.
Researchers note
only 19.7% of airline bots were sophisticated in 2017; this year, the percentage jumped to 31.4%. At the same time, the percentage of simple bots decreased from 27.4% to 15.7%.
Airlines are trying to deal with the problem, and theyre trying to put mitigation in place so they can prevent the volume of bots from attacking them, says Roberts. The bot operators are reacting. Some are trying to appear more human by moving their mouse, delaying between clicks, making themselves evasive to try and avoid detection.
Overall, he says, researchers didnt notice trends specific to airline size or location. Its really unique to that airline — whether its a flight route they have or the nature of how they created their websites, he explains.
The past few months have been rough on airline cybersecurity. Last month, Hong Kong-based Cathay Airlines
suffered
the largest breach of any carrier to date when attackers compromised information belonging to 9.4 million passengers. A cyberattack on British Airways
exposed
the data of 380,000 customers; shortly after, the airline
found
185,000 additional victims were hit.
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Airlines Have a Big Problem with Bad Bots