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Analyze » Harrods Language & International Schools » VIKHARDWI1781800805

Incident Score: Analysis & Impact (VIKHARDWI1781800805)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-130
Company Score Before Incident771 / 1000
Company Score After Incident641 / 1000
INCIDENT NUMBERVIKHARDWI1781800805
Type of Cyber IncidentBreach
ATTACK VECTORCompromised credentials
DATA EXPOSED183,164 user accounts, 35,938 student...
INCIDENT DATE11/06/2026
STATUSOngoing (second report pending)

Key Highlights From The Incident Analysis

  • Timeline of Harrods Language & International Schools'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 Language & International Schools 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 Language & International Schools breach identified under incident ID VIKHARDWI1781800805.

The analysis begins with a detailed overview of Harrods Language & International Schools's information like the linkedin page: https://www.linkedin.com/company/harrodsschools, the number of followers: 315, the industry type: Primary and Secondary Education and the number of employees: 58 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 771 and after the incident was 641 with a difference of -130 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 Language & International Schools and their customers.

On 12 June 2024, Global Indian International School (GIIS) disclosed Data Breach issues under the banner "Global Schools Group Data Breach Exposes Sensitive Data of 183,000+ Users Across 12 Brands".

A massive data breach at Global Schools Group (GSG), a multinational K-12 education network, has exposed the personal and sensitive information of over 183,000 students, parents, and staff across 12 school brands and 60+ campuses in 10 countries.

The disruption is felt across the environment, affecting AWS database, centralized school management system, and exposing 183,164 user accounts, 35,938 student enrollment records, 9.4 million internal messages, 8.6 million attendance records, 122,862 Twilio SMS messages, 112 source code repositories, 168 AWS secrets, 46,901 job applicant folders, 11,176 staff password hashes, with nearly 183,164 user accounts, 35,938 student enrollment records, 9.4 million internal messages, 8.6 million attendance records, 122,862 Twilio SMS messages, 46,901 job applicant folders records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (second report pending).

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 Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating fulcrumSec accessed the data through compromised credentials tied to GSG’s shared AWS infrastructure. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating compromised credentials tied to GSG’s shared AWS infrastructure and Cloud Instance Metadata API (T1552.005) with moderate confidence (60%), supported by evidence indicating 168 AWS secrets exposed in the breach. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (80%), supported by evidence indicating 183,164 user accounts (83,132 students, 88,856 parents, 11,176 staff) compromised and Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 9.4 million internal messages, 8.6 million attendance records, 122,862 Twilio SMS messages. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 35,938 student enrollment records, 9.4 million internal messages, 8.6 million attendance records and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating 112 source code repositories and 168 AWS secrets exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating fulcrumSec leaked the data and provided detailed findings to DataBreaches and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating aI-assisted crawling used to extract records from AWS database. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but high-volume exfiltration occurred and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating minor errors in deduplication during AI-assisted crawling. Under the Defense Evasion tactic, the analysis identified Use Alternate Authentication Material: Application Access Token (T1550.001) with moderate to high confidence (70%), supported by evidence indicating compromised credentials tied to shared AWS infrastructure. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (90%)
Credential Access
Brute Force (50%)
Cloud Instance Metadata API (60%)
Discovery
Account Discovery (80%)
Data from Local System (90%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Transfer Data to Cloud Account (70%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)
Defense Evasion
Use Alternate Authentication Material: Application Access Token (70%)

Sources & References