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Analyze » Harrods » THELIDMARHAR1783961535

Incident Score: Analysis & Impact (THELIDMARHAR1783961535)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-101
Company Score Before Incident625 / 1000
Company Score After Incident524 / 1000
Company LinkView Harrods Profile
INCIDENT NUMBERTHELIDMARHAR1783961535
Type of Cyber IncidentBreach
ATTACK VECTORThird-party vendor vulnerability
DATA EXPOSEDPersonal data (names, phone numbers,...
INCIDENT DATE31/12/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Harrods'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 Harrods 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 Harrods breach identified under incident ID THELIDMARHAR1783961535.

The analysis begins with a detailed overview of Harrods's information like the linkedin page: https://www.linkedin.com/company/harrods, the number of followers: 325266, the industry type: Retail and the number of employees: 6969 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 625 and after the incident was 524 with a difference of -101 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 Harrods and their customers.

Lidl recently reported "Lidl Data Breach Exposes Customer Information Across Three European Countries", a noteworthy cybersecurity incident.

Lidl has alerted customers in the Netherlands, Belgium, and Germany about a data breach involving an external IT vendor.

The disruption is felt across the environment, and exposing Personal data (names, phone numbers, email addresses, dates of birth, customer numbers).

In response, and stakeholders are being briefed through Customer advisories issued.

The case underscores how teams are taking away lessons such as Highlights the risks of third-party vendor vulnerabilities in supply chain attacks, with advisories going out to stakeholders covering Alerts sent to affected customers in the Netherlands, Belgium, and Germany.

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 Supply Chain Compromise (T1195) with high confidence (90%), with evidence including data breach involving an external IT vendor, and third-party vendor vulnerability in supply chain attacks. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating accessed and partially copied a file containing personal data via vendor. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating partially copied a file containing personal data (names, phone numbers, emails). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating threat actors accessed and partially copied a file containing personal data and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating data breach involving an external IT vendor (potential cloud storage). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating partial file copy suggests potential data manipulation and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating threat actors accessed and partially copied a file. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (90%)
Credential Access
Steal Application Access Token (70%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (60%)
Impact
Data Destruction (30%)
Stored Data Manipulation (40%)

Sources & References