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Analyze » UK Biobank » UK-1776947333

Incident Score: Analysis & Impact (UK-1776947333)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-92
Company Score Before Incident718 / 1000
Company Score After Incident626 / 1000
INCIDENT NUMBERUK-1776947333
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDHealth data of 500,000 individuals
INCIDENT DATE19/04/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of UK Biobank's Breach 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 UK Biobank 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 UK Biobank breach identified under incident ID UK-1776947333.

The analysis begins with a detailed overview of UK Biobank's information like the linkedin page: https://www.linkedin.com/company/uk-biobank, the number of followers: 25895, the industry type: Research Services and the number of employees: 275 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 718 and after the incident was 626 with a difference of -92 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 UK Biobank and their customers.

UK Biobank recently reported "UK Biobank Health Data of 500,000 Individuals Offered for Sale in China", a noteworthy cybersecurity incident.

The health data of 500,000 participants in the UK Biobank was advertised for sale on Alibaba’s e-commerce platforms in China.

The disruption is felt across the environment, and exposing Health data of 500,000 individuals, with nearly 500,000 records at risk.

In response, moved swiftly to contain the threat with measures like Listings removed from Alibaba’s platform, and stakeholders are being briefed through Public reassurance about de-identified data.

The case underscores how Ongoing, with advisories going out to stakeholders covering Reassurance about de-identified data.

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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating health data of 500,000 participants was advertised for sale and Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating breach reported by the charity managing the Biobank. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating data was de-identified but compromised via unknown access. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating health data of 500,000 individuals was compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over Web Service (T1567) with high confidence (90%), supported by evidence indicating data advertised for sale on Alibaba’s e-commerce platforms in China and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating health data of 500,000 participants offered for sale. Under the Impact tactic, the analysis identified Defacement (T1491) with lower confidence (40%), supported by evidence indicating data advertised for sale on public e-commerce platforms and Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating de-identified data may have been altered or misused. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (60%)
Trusted Relationship (50%)
Credential Access
Unsecured Credentials (50%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over Web Service (90%)
Exfiltration Over C2 Channel (70%)
Impact
Defacement (40%)
Stored Data Manipulation (30%)

Sources & References