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Analyze » AbbVie » 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-2
Company Score Before Incident827 / 1000
Company Score After Incident825 / 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 AbbVie'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 AbbVie 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 AbbVie breach identified under incident ID EGAABB1775658772.

The analysis begins with a detailed overview of AbbVie's information like the linkedin page: https://www.linkedin.com/company/abbvie, the number of followers: 1854042, the industry type: Pharmaceutical Manufacturing and the number of employees: 60650 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 827 and after the incident was 825 with a difference of -2 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 AbbVie 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 Manipulation of Control (T0886) with moderate to high confidence (70%), supported by evidence indicating modbus’s lack of authentication allows attackers to read and manipulate holding registers. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with moderate confidence (50%), supported by evidence indicating modbus protocol lacking authentication. Under the Collection tactic, the analysis identified Automated Collection (T0802) with moderate to high confidence (80%), supported by evidence indicating researchers mapped energy consumption from a live Schneider PowerLogic EM4880 installation and Data from Information Repositories (T0882) with moderate to high confidence (70%), supported by evidence indicating exposed devices allow reading critical data points like temperature, voltage, and control states. Under the Impact tactic, the analysis identified Loss of Control (T0880) with high confidence (90%), supported by evidence indicating unauthorized changes could disrupt train routing, signaling, and electrical distribution and Loss of Availability (T0829) with moderate to high confidence (80%), supported by evidence indicating potential disruption to critical infrastructure operations. Under the Reconnaissance tactic, the analysis identified Active Scanning: Vulnerability Scanning (T1595.002) with high confidence (90%), supported by evidence indicating scan of port 502 identified 179 exposed ICS devices worldwide. 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
Manipulation of Control (70%)
Credential Access
Brute Force: Password Guessing (50%)
Collection
Automated Collection (80%)
Data from Information Repositories (70%)
Impact
Loss of Control (90%)
Loss of Availability (80%)
Reconnaissance
Active Scanning: Vulnerability Scanning (90%)