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Analyze » Winona County » WIN1780511287

Incident Score: Analysis & Impact (WIN1780511287)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-73
Company Score Before Incident763 / 1000
Company Score After Incident690 / 1000
INCIDENT NUMBERWIN1780511287
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive resident information including names,...
INCIDENT DATE17/01/2026
STATUSCompleted (forensic review finished on 2024-04-16)

Key Highlights From The Incident Analysis

  • Timeline of Winona County'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 Winona County 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 Winona County breach identified under incident ID WIN1780511287.

The analysis begins with a detailed overview of Winona County's information like the linkedin page: https://www.linkedin.com/company/winona-county, the number of followers: 389, the industry type: Government Administration and the number of employees: 203 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 763 and after the incident was 690 with a difference of -73 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 Winona County and their customers.

On 12 May 2024, Winona County disclosed Data Breach issues under the banner "Winona County Data Breach Exposes Sensitive Resident Information".

Winona County, Minnesota, notified residents in mid-May that their personal data was compromised during a cyberattack in January.

The disruption is felt across the environment, and exposing Sensitive resident information including names, addresses, Social Security numbers, driver’s license details, medical records, law enforcement report information, financial account data, payment card details (CVV numbers and expiration dates), online account credentials, and passwords.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Secured network, and began remediation that includes Additional security measures implemented, and stakeholders are being briefed through Public notice and mailed notifications to affected residents.

The case underscores how Completed (forensic review finished on 2024-04-16), with advisories going out to stakeholders covering Affected residents notified via mail.

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 confidence (60%), supported by evidence indicating cybercriminals accessing and exfiltrating sensitive information from county systems and Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating online account credentials and passwords compromised. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating online account credentials and passwords compromised and Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating small subset of individuals also had online account credentials compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating names, addresses, SSNs, medical records, financial data compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating law enforcement report information, payment card details exfiltrated. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating cybercriminals accessing and exfiltrating sensitive information and Exfiltration Over Web Service (T1567) with moderate confidence (50%), supported by evidence indicating data breach with high sensitivity of data exposed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating cyberattack in January with significant data compromise and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating high identity theft and payment information risk noted. Under the Defense Evasion tactic, the analysis identified Indicator Removal: Clear Windows Event Logs (T1070.001) with moderate confidence (50%), supported by evidence indicating breach detected on January 22, occurred between January 18 and 22 and Impair Defenses: Disable or Modify Tools (T1562.001) with lower confidence (40%), supported by evidence indicating county officials secured their network post-incident. 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 (60%)
Valid Accounts (50%)
Credential Access
OS Credential Dumping (70%)
Credentials from Password Stores (60%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (50%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)
Defense Evasion
Indicator Removal: Clear Windows Event Logs (50%)
Impair Defenses: Disable or Modify Tools (40%)

Sources & References