Incident Score: Analysis & Impact (ROC1776083482)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Rockwell Automation'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 Rockwell Automation 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 Rockwell Automation breach identified under incident ID ROC1776083482.
The analysis begins with a detailed overview of Rockwell Automation's information like the linkedin page: https://www.linkedin.com/company/rockwell-automation, the number of followers: 1167301, the industry type: Automation Machinery Manufacturing and the number of employees: 21731 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 779 and after the incident was 775 with a difference of -4 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 Rockwell Automation and their customers.
On 07 April 2026, Rockwell Automation disclosed Exposure of Critical Infrastructure issues under the banner "Thousands of Rockwell PLCs Exposed Online, Drawing Warnings from U.S. Agencies".
Researchers at Censys identified 5,219 Rockwell Automation programmable logic controllers (PLCs) accessible via the internet, with a significant concentration in the United States, heightening risks to critical infrastructure.
The disruption is felt across the environment, affecting 5,219 Rockwell Automation PLCs.
In response, moved swiftly to contain the threat with measures like Disconnection of internet-facing PLCs and Network segmentation, and began remediation that includes Multi-factor authentication and Timely patching.
The case underscores how and recommending next steps like Immediate disconnection of internet-facing PLCs where possible, Network segmentation and Multi-factor authentication, with advisories going out to stakeholders covering FBI, CISA, NSA joint advisory warning of active targeting by Iran-backed threat actors.
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 5,219 Rockwell Automation PLCs accessible via the internet and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating internet-facing unsecured devices as attack vector. Under the Persistence tactic, the analysis identified External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating exposed PLCs could allow persistent access for APT groups. Under the Privilege Escalation tactic, the analysis identified Exploitation of Remote Services (T0880) with moderate confidence (60%), supported by evidence indicating unsecured PLCs may allow escalation in OT environments. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating lack of MFA and timely patching increases evasion risk. Under the Collection tactic, the analysis identified Automated Collection (T1119) with moderate to high confidence (70%), supported by evidence indicating threat actors may gather intelligence from exposed PLCs. Under the Command and Control tactic, the analysis identified Remote Access Software (T1219) with moderate confidence (60%), supported by evidence indicating internet-facing PLCs could enable C2 for APT groups. Under the Impact tactic, the analysis identified Manipulation of Control (T0881) with moderate to high confidence (80%), supported by evidence indicating compromise could disrupt energy, manufacturing, water systems and Loss of Control (T0829) with moderate to high confidence (70%), supported by evidence indicating severe economic and public safety consequences possible. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Rockwell Automation Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/rockwell-automation/incident/ROC1776083482
- Rockwell Automation CyberSecurity Rating page: https://www.rankiteo.com/company/rockwell-automation
- Rockwell Automation Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/roc1776083482-rockwell-automation-vulnerability-april-2026/
- Rockwell Automation CyberSecurity Score History: https://www.rankiteo.com/company/rockwell-automation/history
- Rockwell Automation CyberSecurity Incident Source: https://dailysecurityreview.com/cyber-security/u-s-cybersecurity-agencies-warn-of-rising-threats-from-exposed-rockwell-automation-plcs/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf