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Analyze » Unibail-Rodamco-Westfield » UNIWES1773066889

Incident Score: Analysis & Impact (UNIWES1773066889)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-46
Company Score Before Incident793 / 1000
Company Score After Incident747 / 1000
INCIDENT NUMBERUNIWES1773066889
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal details (first and last...
INCIDENT DATE08/03/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Unibail-Rodamco-Westfield's Breach and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Unibail-Rodamco-Westfield Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Unibail-Rodamco-Westfield breach identified under incident ID UNIWES1773066889.

The analysis begins with a detailed overview of Unibail-Rodamco-Westfield's information like the linkedin page: https://www.linkedin.com/company/unibail-rodamco-westfield, the number of followers: 143956, the industry type: Real Estate and the number of employees: 4178 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 793 and after the incident was 747 with a difference of -46 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 Unibail-Rodamco-Westfield and their customers.

Westfield Mall of the Netherlands recently reported "Westfield Mall of the Netherlands Data Breach", a noteworthy cybersecurity incident.

Westfield Mall of the Netherlands, the country’s largest indoor shopping center, has confirmed a data breach affecting members of its loyalty program and newsletter subscribers.

The disruption is felt across the environment, and exposing Personal details (first and last names, email addresses, phone numbers, postal codes, dates of birth).

In response, and stakeholders are being briefed through Email notification to affected customers.

The case underscores how Ongoing, and recommending next steps like Affected individuals urged to remain cautious of unsolicited communications (phishing risks), with advisories going out to stakeholders covering Warning about potential phishing risks.

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.

MITRE ATT&CK® Correlation Analysis

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 confidence (60%), with evidence including unauthorized access to a database, and loyalty program and newsletter subscribers affected and Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating database access suggests possible credential compromise. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating unauthorized access to a database implies credential exposure. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal details (names, emails, phone numbers, etc.) exposed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating loyalty program and newsletter subscriber data compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating data breach affecting loyalty program members and subscribers and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating no evidence of exfiltration method, but data was accessed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (20%), supported by evidence indicating no evidence of data destruction, but breach occurred and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating potential phishing risks imply possible misuse of data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Valid Accounts (50%)
Credential Access
Unsecured Credentials (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Transfer Data to Cloud Account (40%)
Impact
Data Destruction (20%)
Data Manipulation: Stored Data Manipulation (30%)

Sources & References