SNP Group Breach Incident Score: Analysis & Impact (SNPSNP1769110408)

In this Rankiteo incident briefing, we review the SNP Group breach identified under incident ID SNPSNP1769110408.

The analysis begins with a detailed overview of SNP Group's information like the linkedin page: https://www.linkedin.com/company/snp-group, the number of followers: 50530, the industry type: IT Services and IT Consulting and the number of employees: 1586 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 752 and after the incident was 686 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 SNP Group and their customers.

On 16 January 2026, SNP Transformations, Inc. disclosed Data Breach issues under the banner "SNP Transformations Data Breach Exposes Sensitive Personal Information".

SNP Transformations, Inc., the U.S.

The disruption is felt across the environment, and exposing Sensitive personally identifiable information (PII), with nearly 15 (Massachusetts only) records at risk.

In response, and stakeholders are being briefed through Disclosure to Massachusetts Attorney General’s office; advisories to affected individuals.

The case underscores how Ongoing (class action investigation), and recommending next steps like Affected individuals advised to review credit reports, place fraud alerts, or security freezes on accounts; enroll in complimentary credit monitoring by March 31, 2026, with advisories going out to stakeholders covering Offer of 24 months of complimentary credit monitoring and identity restoration services through Experian; enrollment deadline March 31, 2026.

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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating exposed data includes driver’s licenses, full names, Social Security numbers and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating digital transformation software and IT services company affected. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (50%), supported by evidence indicating sensitive personally identifiable information (PII) compromised and OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating driver’s licenses, Social Security numbers exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating exposed data includes full names, Social Security numbers, driver’s licenses. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach exposing sensitive PII reported and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on data exfiltration method disclosed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating high identity theft risk for affected individuals and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate confidence (50%), supported by evidence indicating potential legal liabilities and compensation claims under investigation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.