Eurostar Breach Incident Score: Analysis & Impact (EUR1766404527)

In this Rankiteo incident briefing, we review the Eurostar breach identified under incident ID EUR1766404527.

The analysis begins with a detailed overview of Eurostar's information like the linkedin page: https://www.linkedin.com/company/eurostar, the number of followers: 111048, the industry type: Travel Arrangements and the number of employees: 2260 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 759 and after the incident was 751 with a difference of -8 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 Eurostar and their customers.

Eurostar recently reported "Eurostar AI Chatbot Vulnerabilities Discovered", a noteworthy cybersecurity incident.

Pen Test Partners discovered vulnerabilities in Eurostar’s AI-powered customer support chatbot, including weak validation and HTML injection flaws.

The disruption is felt across the environment, affecting AI-powered customer support chatbot, and exposing None (customer data not at risk).

In response, moved swiftly to contain the threat with measures like Vulnerabilities mitigated, and began remediation that includes Vulnerabilities fixed, chatbot functionality reviewed, and stakeholders are being briefed through Public statement confirming customer data was never at risk.

The case underscores how Vulnerabilities mitigated, teams are taking away lessons such as Rapid AI adoption can expand cloud attack surfaces and introduce vulnerabilities if not properly secured. Chatbot integrations must include robust validation and access controls to prevent exploitation, and recommending next steps like Implement strict validation for all chatbot messages and conversation IDs, Isolate AI systems from sensitive customer databases and Conduct regular security assessments of AI-powered tools, with advisories going out to stakeholders covering Eurostar stated that customer data was never at risk and vulnerabilities have been addressed.

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 Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), with evidence including weak message validation in AI-powered customer support chatbot, and hTML injection flaw permitted JavaScript execution. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), supported by evidence indicating javaScript execution within the chat interface via HTML injection. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), with evidence including potentially exfiltrating data via manipulated prompts, and chatbot lacked access to sensitive databases. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating manipulate older prompts to execute unauthorized actions and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating weak message validation allowed unauthorized actions. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.