Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Nottingham University Hospitals » NOT1779892409

Incident Score: Analysis & Impact (NOT1779892409)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-43
Company Score Before Incident823 / 1000
Company Score After Incident780 / 1000
INCIDENT NUMBERNOT1779892409
Type of Cyber IncidentBreach
ATTACK VECTORInsider Threat
DATA EXPOSEDMedical records of victims
INCIDENT DATE12/06/2023
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Nottingham University Hospitals'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 Nottingham University Hospitals 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 Nottingham University Hospitals breach identified under incident ID NOT1779892409.

The analysis begins with a detailed overview of Nottingham University Hospitals's information like the linkedin page: https://www.linkedin.com/company/nottingham-university-hospitals, the number of followers: 0, the industry type: Hospitals and Health Care and the number of employees: 48 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 823 and after the incident was 780 with a difference of -43 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 Nottingham University Hospitals and their customers.

On 13 June 2023, Nottingham University Hospitals (NUH) NHS Trust disclosed Data Breach issues under the banner "Nottingham NHS Trust Investigates Staff Over Data Breaches Linked to 2023 Attacks".

Nottingham University Hospitals (NUH) NHS Trust is scrutinizing staff members following unauthorized access to medical records of victims connected to the June 13, 2023, attacks by Valdo Calocane.

The disruption is felt across the environment, affecting NUH NHS Trust patient record systems, and exposing Medical records of victims.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Disciplinary actions against staff, and began remediation that includes Re-examination of disciplinary actions and victim support, and stakeholders are being briefed through Public inquiry testimony and internal communications.

The case underscores how Ongoing, teams are taking away lessons such as Critical gaps in data security, victim support, and oversight of staff access to sensitive records were identified. Systemic failures in mental health care were also highlighted, and recommending next steps like Improve staff training on data access policies, enhance monitoring of sensitive records, and ensure comprehensive victim support 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 Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating 11 NUH employees were dismissed for inappropriately accessing victims’ records. Under the Credential Access tactic, the analysis identified Credentials In Files (T1552.005) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to medical records of victims by staff. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating medical records of victims connected to the June 13, 2023, attacks accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating unauthorized access to medical records implies potential exfiltration and Data from Cloud Storage (T1530) with moderate confidence (60%), supported by evidence indicating medical records accessed via NUH NHS Trust patient record systems. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with lower confidence (40%), supported by evidence indicating lack of oversight in staff access to sensitive records. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating potential risk due to exposure of medical records and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized access to medical records may imply manipulation. 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 (90%)
Credential Access
Credentials In Files (70%)
Collection
Data from Local System (90%)
Exfiltration
Exfiltration Over C2 Channel (50%)
Data from Cloud Storage (60%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (40%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References