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Booking.com Breach Incident Score: Analysis & Impact (BOO2764127111725)

The Rankiteo video explains how the company Booking.com has been impacted by a Cyber Attack on the date February 01, 2025.

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Incident Summary

Rankiteo Incident Impact
0
Company Score Before Incident
844 / 1000
Company Score After Incident
844 / 1000
Company Link
Incident ID
BOO2764127111725
Type of Cyber Incident
Cyber Attack
Primary Vector
malicious domain registration, social engineering, phishing emails/websites
Data Exposed
payment details
First Detected by Rankiteo
February 01, 2025
Last Updated Score

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Key Highlights From This Incident Analysis

  • Timeline of Booking.com's Cyber Attack and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteoโ€™s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Booking.com Rankiteo cyber scoring and cyber rating.
  • Rankiteoโ€™s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
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Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Booking.com breach identified under incident ID BOO2764127111725.

The analysis begins with a detailed overview of Booking.com's information like the linkedin page: https://www.linkedin.com/company/bookingholdings, the number of followers: 1046751, the industry type: Software Development and the number of employees: 15885 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 844 and after the incident was 844 with a difference of 0 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Booking.com and their customers.

On 14 November 2025, Booking.com disclosed phishing, fraud and domain spoofing issues under the banner "Phishing Campaign Targeting Booking and Rental Services by Russian Threat Actors".

More than 4,300 domains have been registered by Russian threat actors to impersonate widely known booking and rental services, such as Booking.com, Expedia, and Agoda, as part of a phishing campaign that has sought to pilfer hotel guests' payment details since February 2025.

The disruption is felt across the environment, and exposing payment details.

Formal response steps have not been shared publicly yet.

The case underscores how ongoing (as of disclosure date).

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Phishing: Spearphishing Link (T1566.002) with high confidence (95%), supported by evidence indicating malicious domain registration, phishing emails/websites, 4,300 fraudulent domains mimicking Booking.com and Acquire Infrastructure: Domains (T1583.001) with high confidence (95%), supported by evidence indicating 4,300 fraudulent domains... registered by Russian threat actors. Under the Credential Access tactic, the analysis identified Credentials from Password Stores: Web Browsers (T1555.003) with moderate to high confidence (85%), supported by evidence indicating deceive hotel guests into divulging payment details (credit card, bank credentials) and Multi-Factor Authentication Request Generation (T1621) with moderate to high confidence (70%), supported by evidence indicating phishing campaign... to harvest sensitive financial information (implied MFA bypass via stolen credentials). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating pilfer hotel guests payment details, theft of payment details (credit card, bank credentials). Under the Exfiltration tactic, the analysis identified Exfiltration Over Command and Control Channel (T1041) with moderate to high confidence (85%), supported by evidence indicating data exfiltration such as likely (payment details stolen), data sold on dark web such as likely. Under the Impact tactic, the analysis identified Reflection Amplification (T1620) with moderate to high confidence (75%), supported by evidence indicating potential fraudulent transactions, identity theft, and financial losses (abuse of stolen payment data). Under the Defense Evasion tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating impersonating trusted booking services (Booking.com, Expedia) (abuse of brand trust for evasion) and Masquerading: Match Legitimate Name or Location (T1036.005) with high confidence (90%), supported by evidence indicating fraudulent domains mimicking legitimate booking platforms (Booking.com, Agoda). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

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Sources