Christian Dior Couture Breach Incident Score: Analysis & Impact (CHR3163431111725)

In this Rankiteo incident briefing, we review the Christian Dior Couture breach identified under incident ID CHR3163431111725.

The analysis begins with a detailed overview of Christian Dior Couture's information like the linkedin page: https://www.linkedin.com/company/sephora, the number of followers: 1904503, the industry type: Retail Luxury Goods and Jewelry and the number of employees: 13418 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 822 and after the incident was 823 with a difference of 1 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 Christian Dior Couture and their customers.

On 07 May 2024, Dior (Chinese operations) disclosed Data Breach issues under the banner "Dior Cyberattack Exposes Customer Data in China and South Korea".

French multinational luxury fashion brand Dior was impacted by a cyberattack on May 7, resulting in the exposure of customer data from its Chinese and South Korean operations.

The disruption is felt across the environment, and exposing Full names, Gender and Phone numbers.

In response, teams activated the incident response plan, and stakeholders are being briefed through Customers urged to be mindful of phishing attacks.

The case underscores how Ongoing, with advisories going out to stakeholders covering Customers advised to be cautious of phishing attempts.

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 Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating cyberattack with no specified vector but regional targeting (China/SK operations) and Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating cyberattack with no specified vulnerability but data exfiltration from regional systems. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating compromised data includes full names, gender, phone numbers, email addresses, postal addresses, purchase histories and Data from Information Repositories (T1039) with high confidence (90%), supported by evidence indicating purchase histories, contact details, and shared preferences exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (80%), supported by evidence indicating data exfiltration such as Yes (method unspecified, but regional data targeted) and Automated Exfiltration (T1020) with moderate to high confidence (75%), supported by evidence indicating structured PII/purchase data leaked (suggests automated collection/exfiltration). Under the Impact tactic, the analysis identified Phishing for Information (T1598) with high confidence (90%), supported by evidence indicating customers urged to be mindful of phishing attacks due to exposed PII and Data Destruction (T1485) with lower confidence (10%), supported by evidence indicating data exfiltration confirmed, but no evidence of destruction (included for completeness). Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with moderate confidence (50%), supported by evidence indicating delayed reporting may suggest attacker cleanup (speculative). Under the Reconnaissance tactic, the analysis identified Gather Victim Identity Information (T1591) with moderate to high confidence (85%), supported by evidence indicating shared preferences (e.g., product interests) and purchase histories compromised. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.