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PROSURA Breach Incident Score: Analysis & Impact (PROVROHIC1767758793)

The Rankiteo video explains how the company PROSURA has been impacted by a Breach on the date January 01, 2026.

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Incident Summary

Rankiteo Incident Impact
-66
Company Score Before Incident
749 / 1000
Company Score After Incident
683 / 1000
Company Link
Incident ID
PROVROHIC1767758793
Type of Cyber Incident
Breach
Primary Vector
Unauthorised system access (vulnerability exploitation)
Data Exposed
Names, email addresses, phone numbers, country of residency, travel destinations, invoicing and pricing data, policy start/end dates, claim data (driver's licences and related images)
First Detected by Rankiteo
January 01, 2026
Last Updated Score
January 01, 2026

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Key Highlights From This Incident Analysis

  • Timeline of PROSURA'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 Rankiteoโ€™s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts PROSURA Rankiteo cyber scoring and cyber rating.
  • Rankiteoโ€™s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
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Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the PROSURA breach identified under incident ID PROVROHIC1767758793.

The analysis begins with a detailed overview of PROSURA's information like the linkedin page: https://www.linkedin.com/company/prosura, the number of followers: 598, the industry type: Insurance Agencies and Brokerages and the number of employees: 11 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 749 and after the incident was 683 with a difference of -66 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 PROSURA and their customers.

On 06 January 2025, Prosura (also trades as Hiccup) disclosed Data Breach, Extortion issues under the banner "Prosura Customer Data Breach and Extortion Attempt".

Personal information belonging to customers of insurer Prosura has been obtained by a self-described 'threat actor', who has threatened to leak the data unless they strike a deal with the company.

The disruption is felt across the environment, affecting Prosura's internal systems, online self-service portal, and exposing Names, email addresses, phone numbers, country of residency, travel destinations, invoicing and pricing data, policy start/end dates, claim data (driver's licences and related images).

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Shut down sales of new policies and online self-service portal, additional security measures implemented, and began remediation that includes Urgent system review, vulnerability patching, and stakeholders are being briefed through Public statement on website, customer advisories about fraudulent emails.

The case underscores how Ongoing, with advisories going out to stakeholders covering Customers advised not to respond to suspicious emails/phone calls; authorities notified.

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.

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 (80%), with evidence including unauthorized access to its systems (vulnerability exploitation), and threat actor claimed to have breached systems on New Yearโ€™s Day and External Remote Services (T1133) with moderate confidence (60%), supported by evidence indicating online self-service portal suspended during investigation. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (50%), supported by evidence indicating policy information and claim-related documents compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating names, email addresses, phone numbers, travel details, policy information, claim data compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating policy start/end dates, invoicing and pricing data accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including threat actor claims to have obtained all consumer information, and data exfiltration confirmed. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no details on data encryption, but extortion attempt implies impact and Defacement: Internal Defacement (T1491.001) with lower confidence (40%), supported by evidence indicating fraudulent emails sent to customers referencing policy numbers. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized access to systems suggests compromised credentials and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating online self-service portal shut down during investigation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.