AI in Travel
Cyber Storm Hits Travel Industry: Phishing, Fake Bookings, and AI Scams Threaten Summer Travelers
Monday, July 14, 2025
As summer travel peaks, the travel industry is under siege from an unprecedented wave of cyberattacks, experiencing an average of 1,270 attacks per week in 2024, according to Check Point Research. Phishing, credential theft, and ransomware dominate the threat landscape, but cybercriminals are rapidly evolving their tactics, targeting both businesses and unsuspecting travelers with increasingly sophisticated schemes.
In an exclusive interview with Travel and Tour World, Tony Sabaj, Cyber Security Evangelist at Check Point, revealed that the travel industry faces over 1,270 cyberattacks weekly in 2024, driven by sophisticated phishing, ransomware, and AI-powered scams. Sabaj warns of new threats like fake booking confirmations and deceptive AI chatbots mimicking airlines and hotels to steal traveler data. He emphasizes that cloud misconfigurations and third-party vulnerabilities remain major risks, urging travel companies to adopt Zero Trust architectures and strong incident response plans. “Cybersecurity must be treated as a core element of customer safety,” Sabaj insists, highlighting the critical need for proactive defense strategies.
Among the most alarming new scams this season is a surge in fake booking confirmations and cancellation emails. Hackers impersonate trusted brands like Booking.com and Airbnb, sending convincing messages that trick travelers into clicking malicious links or entering login details on spoofed websites. One particularly novel tactic, dubbed “ClickFix,” involves fraudulent sites that mimic Booking.com’s property owner portals. After entering their usernames, victims encounter a fake ReCAPTCHA screen, which, once completed, prompts them to download malware under the guise of verifying they’re human.
Equally concerning is the rise of AI-powered chatbots and fake customer service portals. These bots convincingly imitate airline or hotel support agents, engaging travelers in realistic conversations designed to extract payment data, passport details, or login credentials. Fueled by personal information gleaned from past data breaches, these scams are growing harder to detect, blurring the lines between legitimate service and criminal deception.
Ransomware continues to wreak havoc on the sector, with airlines and hospitality groups frequently in hackers’ crosshairs. Attackers seek to encrypt operational data, demanding hefty ransoms to restore critical systems. Meanwhile, distributed denial-of-service (DDoS) attacks are becoming increasingly common, capable of crippling online check-ins, reservation systems, and customer service portals, disrupting travel plans on a massive scale.
Cloud misconfigurations remain a persistent threat, leaving vast stores of customer data vulnerable. Recent incidents at Hawaiian Airlines and Canada’s WestJet underscore the stakes, as both airlines faced cyberattacks targeting their IT systems. Though flight schedules were maintained, these breaches highlight the fragility of travel infrastructures reliant on interconnected digital services.
Airlines and booking platforms are particularly attractive targets because they handle high volumes of personal and financial data. The complex, interconnected nature of travel IT systems, combined with extensive third-party vendor relationships, amplifies their risk. Hotels, too, are exposed due to outdated systems and inconsistent cybersecurity protocols across properties.
For travelers, vigilance is key. Experts advise booking through trusted sites, enabling multi-factor authentication, avoiding public Wi-Fi without a VPN, and steering clear of unfamiliar QR codes. Meanwhile, travel companies must treat cybersecurity as core to customer safety, strengthening email defenses, adopting Zero Trust frameworks, and rigorously monitoring cloud environments for misconfigurations.
As cyber threats grow more cunning, the travel industry faces an urgent mandate: safeguard travelers’ trust—or risk becoming the next cautionary tale.
Check Point reports the travel industry experienced 1,270 cyberattacks per week in 2024. What types of cyberattacks are most commonly targeting travel businesses right now?
The most common cyberattacks targeting the travel industry right now are phishing, credential theft, and ransomware attacks. According to Check Point Research, there’s been a surge in holiday-themed phishing campaigns impersonating major airlines, hotel chains, and booking services to trick travelers into sharing sensitive data. These attacks are often used to harvest login credentials or plant malware.
Ransomware operators also continue to target airlines and hospitality groups, aiming to encrypt operational data and demand payment. Distributed denial of service (DDoS) attacks have also become more common, potentially disrupting services like online check-ins or reservation systems.
Can you describe any new or evolving cyber scams specifically targeting travelers this summer that people might not find in standard travel advisories?
Check Point Research has been tracking a noticeable uptick in fake booking confirmations and cancellation emails that appear to be from legitimate travel sites or airlines like Booking.com and Airbnb. These phishing emails often contain malicious links that redirect users to spoofed login pages or to download malware. An even more novel attack being utilized by hackers now is the ClickFix fake ReCaptcha method – in this instance, the hacker creates a fraudulent site, mimicking the booking.com login page from the property owner side. After the user enters their username, a pop-up window appears with a fake ReCAPTCHA asking the user to “verify” they are human. Once the user confirms they aren’t a robot, they’re prompted to download malware, unknowingly.
Another evolving tactic is the use of AI-generated chatbots or customer service portals that resemble hotel or airline support, luring victims into revealing payment details or passport info. These scams are harder to detect because they mimic real customer service interactions and are tailored with personal details combed from earlier data breaches.
We’ve heard about DDoS attacks grounding flights and cloud misconfigurations leaking customer data. Are there recent examples that highlight the scale or impact of these attacks?
Cloud misconfigurations and third-party software vulnerabilities remain key weaknesses in the travel industry. As we’ve seen in recent months, airlines and travel apps have been compromised due to unsecured APIs and exposed cloud storage buckets, leading to the leak of personal traveler data like passport scans, itineraries, and payment information. Just last month, Hawaiian Airlines and Canada’s WestJet suffered recent cyberattacks, which affected its IT systems but luckily were able to operate a full flight schedule and not impact guest travel.
Which parts of the travel ecosystem—airlines, hotels, booking platforms, transportation services—are most vulnerable to cyber threats right now, and why?
Booking platforms and airlines are among the most targeted sectors because they process massive volumes of sensitive personal and financial data, often across a variety of international systems. The complexity of their IT environments, reliance on third-party vendors, and the push toward digital convenience, i.e., mobile check-in and QR code boarding passes, increase their attack surface. Hotels are also vulnerable due to legacy systems and inconsistent cybersecurity policies across franchise locations. Transportation services, while less frequently targeted, may be exposed through IoT vulnerabilities in smart systems and public Wi-Fi networks.
How are cybercriminals exploiting travelers’ personal information collected during the booking process, and what makes this data particularly valuable?
During the booking process, travelers often share full names, birth dates, passport numbers, travel itineraries, and payment information—a treasure trove for cybercriminals. This data is used not only for identity theft and financial fraud but also to craft highly personalized phishing attacks. For example, a scammer could reference an actual flight or hotel reservation to build trust. Stolen travel data is frequently sold on the dark web and can be used to open fraudulent accounts, apply for visas, or even manipulate loyalty programs and travel credits.
What immediate steps should travelers take before and during their trips to better protect themselves from cyber risks?
Before the trip, travelers should:
- Book through trusted websites and double-check URLs to avoid fake travel sites.
- Enable multi-factor authentication (2FA) on all travel-related accounts
- Avoid public Wi-Fi unless connected through a VPN.
- Update apps and software before departure to patch vulnerabilities.
- During their trip, travelers should:
- Be cautious with QR codes in unfamiliar places (e.g., fake codes at restaurants or airports).
- Use credit cards over debit cards for better fraud protection.
- Avoid accessing sensitive accounts (like banking) from public devices or hotel computers.
- Turn off Bluetooth and auto-connect features when not in use.
From an industry perspective, what are the top cybersecurity measures travel companies should prioritize right now to avoid becoming the next cautionary tale?
Travel companies should prioritize:
- Email security and phishing prevention through advanced filtering and employee training.
- Zero Trust architectures to ensure only verified users and devices access sensitive systems.
- Cloud security posture management (CSPM) to monitor for misconfigurations in cloud services.
- Regular vulnerability scanning and patching, especially for third-party tools.
- Incident response planning, including simulations of DDoS, ransomware, or data breach scenarios.
Given the growing sophistication of travel scams, cybersecurity should now be treated as a core part of customer safety, not just IT infrastructure.
AI in Travel
India’s Travel Revolution: How Map My Tour is Transforming Tourism with AI-Powered Personalization in New Delhi and Beyond – Travel And Tour World
AI in Travel
OpenAI Rolls Out ChatGPT Agent Combining Deep Research and Operator
OpenAI has launched the ChatGPT agent, a new feature that allows ChatGPT to act independently using its own virtual computer. The agent can navigate websites, run code, analyse data, and complete tasks such as planning meetings, building slideshows, and updating spreadsheets.
The feature is now rolling out to Pro, Plus, and Team users, with access for Enterprise and Education users expected in the coming weeks.
The agent integrates previously separate features like Operator and Deep Research, combining their capabilities into a single system. Operator allowed web interaction through clicks and inputs, while deep research focused on synthesis and summarisation.
The new system allows fluid transition between reasoning and action in a single conversation.
“You can use it to effortlessly plan and book travel itineraries, design and book entire dinner parties, or find specialists and schedule appointments,” OpenAI said in a statement. “ChatGPT requests permission before taking actions of consequence, and you can easily interrupt, take over the browser, or stop tasks at any point.”
Users can activate agent mode via the tools dropdown in ChatGPT’s composer window. The agent uses a suite of tools, including a visual browser, a text-based browser, terminal access, and API integration. It can also work with connectors like Gmail and GitHub, provided users log in via a secure takeover mode.
All tasks are carried out on a virtual machine that preserves state across tool switches. This allows ChatGPT to browse the web, download files, run commands, and review outputs, all within a single session. Users can interrupt or redirect tasks at any time without losing progress.
ChatGPT agent is currently limited to 400 messages per month for Pro users and 40 for Plus and Team users. Additional usage is available through credit-based options. Support for the European Economic Area and Switzerland is in progress.
The standalone Operator research preview will be phased out in the coming weeks. Users who prefer longer-form, slower responses can still access deep research mode via the dropdown menu.
While slideshow generation is available, OpenAI noted that formatting may be inconsistent, and export issues remain. Improvements to this capability are under development.
The system showed strong performance across benchmarks. On Humanity’s Last Exam, it scored a new state-of-the-art pass@1 rate of 41.6%, increasing to 44.4% when using parallel attempts. On DSBench, which tests data science workflows, it reached 89.9% on analysis tasks and 85.5% on modelling, significantly higher than human baselines.
In investment banking modelling tasks, the agent achieved a 71.3% mean accuracy, outperforming OpenAI’s o3 model and the earlier deep research tool. It also scored 68.9% on BrowseComp and 65.4% on WebArena, both benchmarks measuring real-world web navigation and task completion.
However, OpenAI acknowledged new risks with this capability. “This is the first time users can ask ChatGPT to take actions on the live web,” the company said. “We’ve placed a particular emphasis on safeguarding ChatGPT agent against adversarial manipulation through prompt injection.”
To counter these risks, ChatGPT requires explicit confirmation before high-impact actions like purchases, restricts actions such as bank transfers, and offers settings to delete browsing data and log out of sessions. Sensitive inputs entered during takeover sessions are not collected or stored.
The new system is classified under OpenAI’s “High Biological and Chemical” capability tier, triggering additional safeguards. The company has worked with external biosecurity experts and introduced monitoring tools, dual-use refusal training, and threat modelling to prevent misuse.
AI in Travel
Lovable Becomes AI Unicorn with $200 Million Series A Led by Accel in Less than 8 Months
Stockholm-based AI startup Lovable has raised $200 million in a Series A funding round led by Accel, pushing its valuation to $1.8 billion. The announcement comes just eight months after the company’s launch.
Lovable allows users to build websites and apps using natural language prompts, similar to platforms like Cursor. The company claims over 2.3 million active users, with more than 180,000 of them now paying subscribers.
CEO Anton Osika said the company has reached $75 million in annual recurring revenue within seven months.
“Today, there are 47M developers worldwide. Lovable is going to produce 1B potential builders,” he said in a post on X.
The latest round saw participation from existing backers, including 20VC, byFounders, Creandum, Hummingbird, and Visionaries Club. In February, Creandum led a $15 million pre-Series A investment when Lovable had 30,000 paying customers and $17 million in ARR, having spent only $2 million.
The company currently operates with a team of 45 full-time employees. The Series A round also attracted a long list of angel investors, including Klarna CEO Sebastian Siemiatkowski, Remote CEO Job van der Voort, Slack co-founder Stewart Butterfield, and HubSpot co-founder Dharmesh Shah.
Most of Lovable’s users are non-technical individuals building prototypes that are later developed further with engineering support. According to a press release, more than 10 million projects have been created on the platform to date.
Osika said the company is not targeting existing developers but a new category of users entirely. “99% of the world’s best ideas are trapped in the heads of people who can’t code. They have problems. They know the solutions. They just can’t build them.”
Lovable is also being used by enterprises such as Klarna and HubSpot, and its leadership sees the platform evolving into a tool for building full-scale production applications.
“Every day, brilliant founders and operators with game-changing ideas hit the same wall: they don’t have a developer to realise their vision quickly and easily,” Osika said in a statement.
Osika also said on X that he has become an angel investor in a software startup built using Lovable.
In another recent example, Osika noted that a Brazilian edtech company built an app using Lovable that generated $3 million in 48 hours.
Lovable’s growth trajectory suggests increased adoption among both individual users and enterprise customers, positioning it as a significant player in the growing AI-powered software creation market.
-
The Travel Revolution of Our Era3 weeks ago
‘AI is undeniably reshaping the core structure of the hospitality ecosystem’: Venu G Somineni
-
Brand Stories7 days ago
The Smart Way to Stay: How CheQin.AI Is Flipping Hotel Booking in Your Favor
-
Brand Stories2 weeks ago
Voice AI Startup ElevenLabs Plans to Add Hubs Around the World
-
Mergers & Acquisitions1 week ago
Amazon weighs further investment in Anthropic to deepen AI alliance
-
Mergers & Acquisitions7 days ago
How Elon Musk’s rogue Grok chatbot became a cautionary AI tale
-
Asia Travel Pulse2 weeks ago
Looking For Adventure In Asia? Here Are 7 Epic Destinations You Need To Experience At Least Once – Zee News
-
Mergers & Acquisitions1 week ago
UK crime agency arrests 4 people over cyber attacks on retailers
-
AI in Travel2 weeks ago
‘Will AI take my job?’ A trip to a Beijing fortune-telling bar to see what lies ahead | China
-
Mergers & Acquisitions2 weeks ago
ChatGPT — the last of the great romantics
-
Mergers & Acquisitions1 week ago
EU pushes ahead with AI code of practice
You must be logged in to post a comment Login