SSM Health Breach Incident Score: Analysis & Impact (SSM1392213112125)

In this Rankiteo incident briefing, we review the SSM Health breach identified under incident ID SSM1392213112125.

The analysis begins with a detailed overview of SSM Health's information like the linkedin page: https://www.linkedin.com/company/ssm-health-care, the number of followers: 87085, the industry type: Hospitals and Health Care and the number of employees: 19235 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 759 and after the incident was 742 with a difference of -17 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 SSM Health and their customers.

Transport for London (TfL) recently reported "Cyberattack on Transport for London (TfL) and Alleged Attacks on U.S. Healthcare Companies by British Teenagers", a noteworthy cybersecurity incident.

Two British teenagers, Thalha Jubair (19) and Owen Flowers (18), were charged under the Computer Misuse Act for a cyberattack on Transport for London (TfL) in 2024.

Impact assessments are still underway, so the full scope is not yet clear.

Formal response steps have not been shared publicly yet.

The case underscores how ongoing (trial scheduled for June 8, 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 to high confidence (70%), supported by evidence indicating conspiracy to infiltrate and damage U.S. healthcare entities and Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating unauthorized access to healthcare systems (SSM/Sutter). Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (50%), supported by evidence indicating infiltration suggests potential credential theft/theft from config files. Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate to high confidence (80%), supported by evidence indicating attempted damage to SSM Health’s systems and Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating damage to systems (possible encryption, though ransomware not confirmed). Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with lower confidence (40%), supported by evidence indicating infiltration of multiple high-value targets (TfL, SSM, Sutter). Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with moderate confidence (50%), supported by evidence indicating attempted damage may include log/file tampering to evade detection. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating potential compromising sensitive healthcare data (e.g., patient records). Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate confidence (60%), supported by evidence indicating high-risk exposure implies data exfiltration (method unspecified). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.