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Analyze » Lidl Nederland » LID1783715540

Incident Score: Analysis & Impact (LID1783715540)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-67
Company Score Before Incident784 / 1000
Company Score After Incident717 / 1000
INCIDENT NUMBERLID1783715540
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal information (names, telephone numbers,...
INCIDENT DATE30/06/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Lidl Nederland'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 Lidl Nederland 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 Lidl Nederland breach identified under incident ID LID1783715540.

The analysis begins with a detailed overview of Lidl Nederland's information like the linkedin page: https://www.linkedin.com/company/lidl-nederland, the number of followers: 68865, the industry type: Retail and the number of employees: 6925 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 784 and after the incident was 717 with a difference of -67 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 Lidl Nederland and their customers.

Lidl Netherlands recently reported "Lidl Netherlands Customer Data Breach", a noteworthy cybersecurity incident.

Lidl Netherlands has disclosed a data breach impacting customers who used its webshop, revealing that unauthorized individuals accessed personal information.

The disruption is felt across the environment, affecting Lidl Netherlands webshop, and exposing Personal information (names, telephone numbers, email addresses, dates of birth, customer numbers).

In response, and stakeholders are being briefed through Notified affected customers via email and reported the incident to the Dutch Data Protection Authority (AP).

The case underscores how with advisories going out to stakeholders covering Notified affected customers via email.

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 to high confidence (80%), supported by evidence indicating unauthorized individuals accessed personal information via its webshop and External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating data breach impacting customers who used its webshop. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (60%), supported by evidence indicating webshop access led to unauthorized data retrieval. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating stolen data includes names, telephone numbers, email addresses, dates of birth and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating customer numbers and personal information compromised via webshop. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized individuals accessed personal information (implied exfiltration) and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no evidence of misuse suggests potential staging for exfiltration. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data misuse or destruction provided and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating potential identity theft risk due to exposed personal information. 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 (80%)
External Remote Services (70%)
Credential Access
Steal Application Access Token (60%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (30%)
Stored Data Manipulation (40%)

Sources & References