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Analyze » Elia Group » ELI1776350170

Incident Score: Analysis & Impact (ELI1776350170)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-14
Company Score Before Incident792 / 1000
Company Score After Incident778 / 1000
INCIDENT NUMBERELI1776350170
Type of Cyber IncidentCyber Attack
ATTACK VECTORDistributed Denial-of-Service (DDoS)
DATA EXPOSEDNA
INCIDENT DATE01/12/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Elia Group's Cyber Attack 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 Elia Group 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 Elia Group breach identified under incident ID ELI1776350170.

The analysis begins with a detailed overview of Elia Group's information like the linkedin page: https://www.linkedin.com/company/eliagroup, the number of followers: 75148, the industry type: Utilities and the number of employees: 2723 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 792 and after the incident was 778 with a difference of -14 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 Elia Group and their customers.

On 02 December 2023, Federal Parliament of Belgium disclosed DDoS issues under the banner "Pro-Russian Hacker Group Targets Belgian Critical Infrastructure in Surge of DDoS Attacks".

Belgium faced a sharp escalation in cyberattacks, with nearly 1,250 distributed denial-of-service (DDoS) incidents recorded between December 2 and 18.

The disruption is felt across the environment, affecting Federal institutions, critical infrastructure, government bodies, energy distribution, nuclear supply chains.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 Network Denial of Service (T1498) with high confidence (90%), supported by evidence indicating nearly 1,250 distributed denial-of-service (DDoS) incidents recorded. Under the Impact tactic, the analysis identified Endpoint Denial of Service (T1499) with high confidence (90%), supported by evidence indicating dDoS attacks targeting federal institutions, critical infrastructure, Application or System Exploitation (T1499.004) with moderate to high confidence (70%), supported by evidence indicating strategic shift toward disrupting essential services like energy distribution, and Financial Theft (T1657) with lower confidence (30%), supported by evidence indicating attack threatening the economy of geographical region. Under the Resource Development tactic, the analysis identified Botnet (T1583.005) with moderate to high confidence (80%), supported by evidence indicating dDoS attacks attributed to pro-Russian hacker group DDoSia. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Network Denial of Service (90%)
Impact
Endpoint Denial of Service (90%)
Application or System Exploitation (70%)
Financial Theft (30%)
Resource Development
Botnet (80%)

Sources & References