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Analyze » Unversity of Pittsburgh Medical Center - MWRI » CHAOAHARKUNV1775594838

Incident Score: Analysis & Impact (CHAOAHARKUNV1775594838)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-8
Company Score Before Incident821 / 1000
Company Score After Incident813 / 1000
Company LinkView Unversity of Pittsburgh Medical Center - MWRI Profile
INCIDENT NUMBERCHAOAHARKUNV1775594838
Type of Cyber IncidentCyber Attack
ATTACK VECTORNA
DATA EXPOSEDNA
INCIDENT DATE20/02/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Unversity of Pittsburgh Medical Center - MWRI'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 Unversity of Pittsburgh Medical Center - MWRI 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 Unversity of Pittsburgh Medical Center - MWRI breach identified under incident ID CHAOAHARKUNV1775594838.

The analysis begins with a detailed overview of Unversity of Pittsburgh Medical Center - MWRI's information like the linkedin page: https://www.linkedin.com/company/unversity-of-pittsburgh-medical-center---mwri, the number of followers: 0, the industry type: Research Services and the number of employees: 141 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 821 and after the incident was 813 with a difference of -8 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 Unversity of Pittsburgh Medical Center - MWRI and their customers.

Change Healthcare recently reported "Cyberattacks on Critical Infrastructure Disproportionately Impact Women, Yet Policy Remains Gender-Blind", a noteworthy cybersecurity incident.

Cyberattacks on essential services such as healthcare, education, and transportation are increasing in frequency and severity, with gendered impacts disproportionately burdening women due to their structural roles in both the formal workforce and unpaid care labor.

The disruption is felt across the environment, affecting healthcare, education and transportation.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Cyberattacks disproportionately impact women due to their structural roles in the workforce and unpaid care labor. Gender-blind cybersecurity policy undermines resilience and risk assessment. Gender-disaggregated data is needed to improve risk assessment and resilience planning, and recommending next steps like Center real users in threat modeling, accounting for gendered engagement with technology, Measure gender-disaggregated impacts to improve risk assessment and resilience planning and Adopt human-centered security policies reflecting actual user behavior.

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 moderate to high confidence (70%), with evidence including preventable software vulnerabilities, and ransomware attacks such as the 2024 Change Healthcare breach and Exploitation for Client Execution (T1203) with moderate confidence (60%), supported by evidence indicating preventable software vulnerabilities exploited in critical infrastructure. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), with evidence including ransomware attacks...disrupt digital systems, and data encryption implied in ransomware incidents, Defacement (T1491) with moderate confidence (50%), supported by evidence indicating operational disruptions in healthcare, education, and transportation, and Endpoint Denial of Service (T1499) with moderate to high confidence (80%), with evidence including manual transcription of records in healthcare, and transit payment system outages. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), with evidence including change Healthcare breach, the largest in U.S. history, and implied data exfiltration in ransomware attacks. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate confidence (50%), supported by evidence indicating cyberattacks on critical infrastructure often evade detection initially and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating disrupted digital systems in healthcare and education sectors. 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 (70%)
Exploitation for Client Execution (60%)
Impact
Data Encrypted for Impact (90%)
Defacement (50%)
Endpoint Denial of Service (80%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Defense Evasion
Masquerading (50%)
Impair Defenses: Disable or Modify Tools (60%)

Sources & References