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Analyze » Stryker » DOWSTR1775838732

Incident Score: Analysis & Impact (DOWSTR1775838732)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-19
Company Score Before Incident542 / 1000
Company Score After Incident523 / 1000
INCIDENT NUMBERDOWSTR1775838732
Type of Cyber IncidentCyber Attack
ATTACK VECTORSocial Engineering, Malicious DMG Files, Fake Google Documents, Compromised VPN, Race Condition Exploit
DATA EXPOSED10 petabytes (National Supercomputing Center...
INCIDENT DATE29/03/2026
STATUSOngoing (Stryker, National Supercomputing Center in Tianjin)

Key Highlights From The Incident Analysis

  • Timeline of Stryker'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 Stryker 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 Stryker breach identified under incident ID DOWSTR1775838732.

The analysis begins with a detailed overview of Stryker's information like the linkedin page: https://www.linkedin.com/company/stryker, the number of followers: 1694532, the industry type: Medical Equipment Manufacturing and the number of employees: 50225 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 542 and after the incident was 523 with a difference of -19 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 Stryker and their customers.

Jones Day recently reported "Cybersecurity Roundup: AI Risks, Mac Malware, and Major Breaches Dominate the Week", a noteworthy cybersecurity incident.

This week’s cybersecurity landscape was marked by high-profile threats, regulatory discussions, and industry responses to emerging risks, including AI cybersecurity concerns, new macOS malware, ransomware attacks, and data breaches.

The disruption is felt across the environment, affecting macOS (NotnullOSX), Windows (BlueHammer) and Third-party repositories (DocketWise), and exposing 10 petabytes (National Supercomputing Center in Tianjin), 116,000 individuals (DocketWise), Client records (Jones Day), with nearly 116,000 (DocketWise), 10 petabytes (National Supercomputing Center in Tianjin) records at risk, plus an estimated financial loss of $13 million ransom demand (Jones Day), Material impact on Q1 results (Stryker).

In response, while recovery efforts such as Systems restored (Stryker) continue.

The case underscores how Ongoing (Stryker, National Supercomputing Center in Tianjin).

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 Phishing (T1566) with high confidence (90%), with evidence including social Engineering (Jones Day), and fake Google documents (NotnullOSX), Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating compromised VPN (National Supercomputing Center in Tianjin), and User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating malicious DMG files (NotnullOSX). Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating malicious DMG files (NotnullOSX) and Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating race Condition in Microsoft Defender (BlueHammer). Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating blueHammer exploit gains SYSTEM privileges and Abuse Elevation Control Mechanism: Sudo and Sudo Caching (T1548.003) with moderate confidence (60%), supported by evidence indicating full Disk Access exploitation (NotnullOSX). Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate to high confidence (70%), supported by evidence indicating fake Google documents (NotnullOSX) and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating race Condition in Microsoft Defender (BlueHammer). Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with high confidence (90%), supported by evidence indicating browser credentials stolen (NotnullOSX) and Adversary-in-the-Middle (T1557) with moderate confidence (50%), supported by evidence indicating compromised VPN (National Supercomputing Center in Tianjin). Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating iMessages stolen (NotnullOSX) and File and Directory Discovery (T1083) with moderate to high confidence (80%), supported by evidence indicating cryptocurrency wallet data targeted (NotnullOSX). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating cryptocurrency wallets, iMessages, browser credentials (NotnullOSX) and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating client records accessed (Jones Day), Classified documents (Tianjin). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 10 petabytes extracted (National Supercomputing Center in Tianjin) and Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (70%), supported by evidence indicating data exfiltration (Jones Day). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating silent Ransom Group (Luna Moth) ransomware attack, Defacement (T1491) with lower confidence (40%), supported by evidence indicating sensitive documents leaked (Jones Day), and Endpoint Denial of Service (T1499) with moderate confidence (60%), supported by evidence indicating operational disruptions (Stryker). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing (90%)
Exploit Public-Facing Application (70%)
User Execution: Malicious File (80%)
Execution
User Execution: Malicious File (80%)
Exploitation for Privilege Escalation (70%)
Privilege Escalation
Exploitation for Privilege Escalation (80%)
Abuse Elevation Control Mechanism: Sudo and Sudo Caching (60%)
Defense Evasion
Masquerading (70%)
Impair Defenses: Disable or Modify Tools (60%)
Credential Access
Credentials from Password Stores (90%)
Adversary-in-the-Middle (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%)
Exfiltration Over Alternative Protocol (70%)
Impact
Data Encrypted for Impact (50%)
Defacement (40%)
Endpoint Denial of Service (60%)