Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Westlife Foodworld Limited » WES1769016484

Incident Score: Analysis & Impact (WES1769016484)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-115
Company Score Before Incident722 / 1000
Company Score After Incident607 / 1000
INCIDENT NUMBERWES1769016484
Type of Cyber IncidentRansomware
ATTACK VECTORNA
DATA EXPOSED861 GB of sensitive data
INCIDENT DATE15/06/2025
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Westlife Foodworld Limited's Ransomware 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 Westlife Foodworld Limited 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 Westlife Foodworld Limited breach identified under incident ID WES1769016484.

The analysis begins with a detailed overview of Westlife Foodworld Limited's information like the linkedin page: https://www.linkedin.com/company/westlife-foodworld-ltd, the number of followers: 21817, the industry type: Food and Beverage Services and the number of employees: 129 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 722 and after the incident was 607 with a difference of -115 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 Westlife Foodworld Limited and their customers.

On 20 January 2026, McDonald’s India disclosed Ransomware issues under the banner "Everest Ransomware Group Claims Breach of McDonald’s India".

On January 20, 2026, the Everest ransomware group announced on its dark web leak site that it had breached McDonald’s India, the fast-food chain’s Indian subsidiary.

The disruption is felt across the environment, affecting Accounting/ERP systems, and exposing 861 GB of sensitive data.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing.

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 (50%), supported by evidence indicating access to accounting or enterprise resource planning (ERP) systems and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating screenshots suggest access to ERP systems, likely via compromised credentials. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with lower confidence (40%), supported by evidence indicating ransomware group active since 2025, likely involving malicious payloads. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating access to ERP systems suggests credential harvesting or dumping and Credentials from Password Stores (T1555) with moderate confidence (50%), supported by evidence indicating internal store-level records (manager names, contact numbers) exposed. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating contact Database spreadsheet with investor/partner details accessed and File and Directory Discovery (T1083) with moderate to high confidence (80%), supported by evidence indicating directories organized by month in ERP systems suggest systematic discovery. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 861 GB of sensitive data exfiltrated, including financial reports and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating access to accounting/ERP systems with pricing, audit trails. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 861 GB of data exfiltrated by Everest ransomware group. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating everest ransomware group active, likely encrypting data for ransom and Defacement (T1491) with moderate confidence (50%), supported by evidence indicating announced on dark web leak site, implying public exposure threat. 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 (50%)
Valid Accounts (60%)
Execution
User Execution: Malicious File (40%)
Credential Access
OS Credential Dumping (60%)
Credentials from Password Stores (50%)
Discovery
Account Discovery (70%)
File and Directory Discovery (80%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Impact
Data Encrypted for Impact (70%)
Defacement (50%)

Sources & References