PRC-Saltillo Breach Incident Score: Analysis & Impact (PRC3503235111325)

In this Rankiteo incident briefing, we review the PRC-Saltillo breach identified under incident ID PRC3503235111325.

The analysis begins with a detailed overview of PRC-Saltillo's information like the linkedin page: https://www.linkedin.com/company/prc-saltillo, the number of followers: 4118, the industry type: Medical Device and the number of employees: 166 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 755 and after the incident was 726 with a difference of -29 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 PRC-Saltillo and their customers.

Prentke Romich Company (dba PRC-Saltillo) recently reported "PRC-Saltillo Data Breach (August 2024)", a noteworthy cybersecurity incident.

A targeted cyberattack on Prentke Romich Co.

The disruption is felt across the environment, affecting Computer systems, and exposing Names, Addresses and Phone numbers, plus an estimated financial loss of $632,250 (settlement fund).

In response, and stakeholders are being briefed through Settlement notices sent to affected individuals; online and mail-in claim options provided.

The case underscores how Settled (class action lawsuit resolved), with advisories going out to stakeholders covering Settlement notices sent to affected individuals; claim submission instructions provided.

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 (70%), supported by evidence indicating targeted cyberattack on computer systems with no further specifics and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating targeted cyberattack (implies possible credential abuse or insider threat). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating exposed highly sensitive personal and medical data including names, addresses, SSNs, medical/insurance details. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with high confidence (90%), with evidence including data exfiltration such as Yes (implied by exposure of data), and compromised computer systems and Automated Exfiltration (T1020) with moderate to high confidence (70%), supported by evidence indicating large-scale exposure of PII/PHI suggests automated collection/exfiltration. Under the Impact tactic, the analysis identified Data from Cloud Storage (T1530) with moderate confidence (50%), supported by evidence indicating computer systems breach (possible cloud-hosted medical/insurance data), Data Destruction (T1485) with lower confidence (10%), supported by evidence indicating no explicit mention of destruction, but compromised systems implies potential tampering, and Identity Theft (T1659) with high confidence (95%), supported by evidence indicating high risk of identity theft, financial fraud due to exposed SSNs/PII. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating targeted cyberattack (possible credential harvesting to access sensitive data). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.