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Analyze » Middlesex Sheriff's Office » MID1770222940

Incident Score: Analysis & Impact (MID1770222940)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-96
Company Score Before Incident762 / 1000
Company Score After Incident666 / 1000
INCIDENT NUMBERMID1770222940
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDsensitive personal and medical information
INCIDENT DATE09/11/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Middlesex Sheriff's Office'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 Middlesex Sheriff's Office 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 Middlesex Sheriff's Office breach identified under incident ID MID1770222940.

The analysis begins with a detailed overview of Middlesex Sheriff's Office's information like the linkedin page: https://www.linkedin.com/company/middlesex-sheriffs-office, the number of followers: 1605, the industry type: Law Enforcement and the number of employees: 261 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 762 and after the incident was 666 with a difference of -96 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 Middlesex Sheriff's Office and their customers.

Central Ozarks Medical Center (COMC) recently reported "Cybersecurity Incidents Impact Healthcare and Law Enforcement Across Three States", a noteworthy cybersecurity incident.

Three recent data breaches affecting a Missouri healthcare provider, a Massachusetts law enforcement agency, and a Florida hospital have exposed sensitive personal and medical information of thousands of individuals.

The disruption is felt across the environment, and exposing sensitive personal and medical information, with nearly ['11818', '501', '821'] records at risk.

In response, and began remediation that includes enhanced cybersecurity measures and strengthened security protocols.

The case underscores how with advisories going out to stakeholders covering 12 months of credit monitoring and identity theft protection.

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 to high confidence (70%), supported by evidence indicating unauthorized access to names, dates of birth, Social Security numbers and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating cyberattack compromising the data of 11,818 patients. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating financial account details, medical treatment records compromised and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating social Security numbers and health insurance information exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, dates of birth, diagnoses, and other health data exposed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating medical treatment records and health insurance information compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach affecting 11,818 patients with high sensitivity data and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating unauthorized access detected; no specifics on exfiltration method. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of misuse detected post-breach and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating protected health information exposed; potential for 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 (70%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (60%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (40%)
Impact
Data Destruction (30%)
Stored Data Manipulation (40%)

Sources & References