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Analyze » eGauge Systems - Know Your Power » EGAABB1775658772

Incident Score: Analysis & Impact (EGAABB1775658772)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-5
Company Score Before Incident753 / 1000
Company Score After Incident748 / 1000
INCIDENT NUMBEREGAABB1775658772
Type of Cyber IncidentVulnerability
ATTACK VECTORInternet-exposed ICS devices (Modbus protocol)
DATA EXPOSEDNA
INCIDENT DATE05/04/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of eGauge Systems - Know Your Power's Vulnerability 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 eGauge Systems - Know Your Power 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 eGauge Systems - Know Your Power breach identified under incident ID EGAABB1775658772.

The analysis begins with a detailed overview of eGauge Systems - Know Your Power's information like the linkedin page: https://www.linkedin.com/company/egauge-systems, the number of followers: 1538, the industry type: Smart Meter Manufacturing and the number of employees: 15 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 753 and after the incident was 748 with a difference of -5 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 eGauge Systems - Know Your Power and their customers.

National railway network recently reported "Rising Threats to Industrial Control Systems: Exposed Devices Pose Critical Infrastructure Risks", a noteworthy cybersecurity incident.

A recent investigation by Cyble Research & Intelligence Labs reveals a sharp increase in vulnerabilities affecting industrial control systems (ICS), with disclosures nearly doubling between 2024 and 2025.

The disruption is felt across the environment, affecting Industrial control systems (ICS) in energy, manufacturing, and utilities.

In response, and began remediation that includes Firewalls, VPNs, and network segmentation.

The case underscores how teams are taking away lessons such as The expansion of connected ICS devices introduces new attack surfaces. Legacy protocols like Modbus, DNP3, and BACnet designed for closed networks remain vulnerable when exposed online, requiring safeguards such as firewalls, VPNs, and network segmentation, and recommending next steps like Implement firewalls, VPNs, and network segmentation to mitigate risks. Monitor and secure internet-exposed ICS devices running legacy protocols.

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 high confidence (90%), supported by evidence indicating 179 exposed ICS devices worldwide, including critical infrastructure components and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating internet-exposed devices running legacy protocols like Modbus (port 502). Under the Execution tactic, the analysis identified Command and Scripting Interpreter: Control Protocol (T0886) with moderate to high confidence (70%), supported by evidence indicating modbus protocol allows reading/manipulating holding registers (e.g., temperature, voltage). Under the Persistence tactic, the analysis identified External Remote Services (T0859) with moderate to high confidence (70%), supported by evidence indicating internet-exposed ICS devices (Modbus) lack authentication, enabling persistent access. Under the Privilege Escalation tactic, the analysis identified Abuse Elevation Control Mechanism (T0880) with moderate confidence (60%), supported by evidence indicating modbus lacks authentication; manipulation of control states could escalate privileges. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify System Firewall (T1562.004) with moderate confidence (50%), supported by evidence indicating legacy protocols like Modbus designed for closed networks, often without firewalls. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with lower confidence (40%), supported by evidence indicating modbus lacks authentication; default/weak credentials may be exploited. Under the Discovery tactic, the analysis identified Network Service Discovery (T0846) with moderate to high confidence (80%), supported by evidence indicating scan of port 502 (Modbus) identified 179 exposed ICS devices worldwide and System Information Discovery (T0866) with moderate to high confidence (70%), supported by evidence indicating researchers mapped energy consumption from live Schneider PowerLogic EM4880. Under the Collection tactic, the analysis identified Automated Collection (T0802) with moderate to high confidence (70%), supported by evidence indicating modbus allows reading holding registers (critical operational data). Under the Impact tactic, the analysis identified Data Manipulation (T0883) with high confidence (90%), supported by evidence indicating unauthorized changes to Modbus registers could disrupt train routing/signaling and System Shutdown/Reboot (T0881) with moderate to high confidence (70%), supported by evidence indicating manipulation of control states in power grids could cause outages. 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 (90%)
External Remote Services (80%)
Execution
Command and Scripting Interpreter: Control Protocol (70%)
Persistence
External Remote Services (70%)
Privilege Escalation
Abuse Elevation Control Mechanism (60%)
Defense Evasion
Impair Defenses: Disable or Modify System Firewall (50%)
Credential Access
Brute Force: Password Guessing (40%)
Discovery
Network Service Discovery (80%)
System Information Discovery (70%)
Collection
Automated Collection (70%)
Impact
Data Manipulation (90%)
System Shutdown/Reboot (70%)

Sources & References