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Analyze » Castillo Sanchez & Burrell, LLP » CAS1764641765

Incident Score: Analysis & Impact (CAS1764641765)

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 Incident792 / 1000
Company Score After Incident696 / 1000
Company LinkView Castillo Sanchez & Burrell, LLP Profile
INCIDENT NUMBERCAS1764641765
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDNames, Addresses, Social Security numbers,...
INCIDENT DATE30/11/2025
STATUSSettled (class action lawsuit resolved with $6.3M payout)

Key Highlights From The Incident Analysis

  • Timeline of Castillo Sanchez & Burrell, LLP'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 Castillo Sanchez & Burrell, LLP 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 Castillo Sanchez & Burrell, LLP breach identified under incident ID CAS1764641765.

The analysis begins with a detailed overview of Castillo Sanchez & Burrell, LLP's information like the linkedin page: https://www.linkedin.com/company/castillo-sanchez-&-burrell-llp, the number of followers: 0, the industry type: Accounting and the number of employees: 4 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 792 and after the incident was 696 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 Castillo Sanchez & Burrell, LLP and their customers.

On 05 December 2024, Deloitte Consulting LLP disclosed Data Breach issues under the banner "RIBridges $6.3M Data Breach Class Action Settlement".

A cybersecurity incident affected 735,501 individuals in the Rhode Island RIBridges system, managed by Deloitte Consulting LLP.

The disruption is felt across the environment, affecting RIBridges system, and exposing Names, Addresses and Social Security numbers, with nearly 735,501 records at risk, plus an estimated financial loss of $6.3 million (settlement amount).

In response, and stakeholders are being briefed through Notice sent to affected individuals by the State of Rhode Island.

The case underscores how Settled (class action lawsuit resolved with $6.3M payout), with advisories going out to stakeholders covering Notice sent to 735,501 affected individuals by the State of Rhode Island.

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 cybercriminals unlawfully accessed personal information stored on the RIBridges system and Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating rIBridges system (public-facing govt system) compromised; no specific vector listed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating names, addresses, SSNs, banking details, and health information accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (80%), supported by evidence indicating data exfiltration such as Yes (unlawful access confirmed) (method unspecified). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (10%), supported by evidence indicating no evidence of destruction, but high-risk data (PII/financial) was exposed and Identity Theft (T1659) with high confidence (90%), supported by evidence indicating identity theft risk such as High (PII and financial data exposed). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Sources & References