Libman Education Breach Incident Score: Analysis & Impact (LIB5951859110725)

In this Rankiteo incident briefing, we review the Libman Education breach identified under incident ID LIB5951859110725.

The analysis begins with a detailed overview of Libman Education's information like the linkedin page: https://www.linkedin.com/company/libman-education-inc-, the number of followers: 4418, the industry type: Hospitals and Health Care and the number of employees: 14 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 693 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 Libman Education and their customers.

A newly reported cybersecurity incident, "an incident", has drawn attention.

The consequences of a breach in healthcare can be devastating, leading to operational disruption (computers frozen, EHRs inaccessible, appointments canceled), regulatory penalties (e.g., HHS fines for failing to encrypt data, not maintaining backups, or leaving security gaps),...

The disruption is felt across the environment, affecting EHR systems, appointment scheduling and operational IT infrastructure, and exposing electronic health records (EHR), personally identifiable information (PII) and protected health information (PHI).

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like freezing affected systems, isolating compromised data and activating backups (if available), and began remediation that includes patching vulnerabilities, updating antivirus and staff retraining, while recovery efforts such as restoring EHR access, rescheduling appointments and transparency with patients continue, and stakeholders are being briefed through notifying authorities (HHS), patient advisories and stakeholder updates.

The case underscores how teams are taking away lessons such as Cybersecurity is a leadership responsibility, not just IT, Outdated antivirus and vendor reliance are critical gaps and Staff training is essential to prevent phishing/social engineering, and recommending next steps like Adopt the 4-stage incident response playbook (preparation, detection, containment, review), Integrate cybersecurity into business strategy with leadership buy-in and Fund proper defenses (encryption, backups, modern antivirus), with advisories going out to stakeholders covering Notify HHS/regulators per HIPAA, Communicate with insurance carriers and Update practice leadership and staff.

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 Phishing: Spearphishing Link (T1566.002) with high confidence (95%), with evidence including staff vulnerabilities, such as falling for phishing scams, and entry point such as phishing emails, Exploit Public-Facing Application (T1190) with moderate to high confidence (85%), with evidence including vendor security gaps, and entry point such as vendor vulnerabilities, and External Remote Services (T1133) with moderate to high confidence (80%), with evidence including unpatched systems as entry_point, and over-reliance on vendors implying exposed RDP/VPN. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: Windows Command Shell (T1059.003) with moderate to high confidence (80%), with evidence including frozen computers suggests post-exploitation script execution, and ransomware implied by encryption/disruption. Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with moderate to high confidence (75%), with evidence including vendor security gaps could enable web shell persistence, and long-term operational strain suggests maintained access. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with high confidence (90%), with evidence including unpatched systems exploited for higher access, and eHR databases (high-value targets) compromised. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable/Modify Tools (T1562.001) with high confidence (95%), with evidence including outdated antivirus reliance implies defenses were bypassed/disabled, and freezing affected systems suggests tampering with security tools and Indicator Removal: File Deletion (T1070.004) with moderate to high confidence (80%), with evidence including lack of backups/logs implies deletion of forensic evidence, and containment measures such as isolating compromised data. Under the Credential Access tactic, the analysis identified Credentials from Password Stores: Credentials from Web Browsers (T1555.003) with moderate to high confidence (85%), with evidence including staff vulnerabilities suggest credential theft via phishing, and access to EHR systems implies stolen credentials. Under the Discovery tactic, the analysis identified System Information Discovery (T1082) with high confidence (90%), with evidence including high value targets such as EHR databases, patient PHI/PII, and attackers likely enumerated systems before encryption/exfiltration and File and Directory Discovery (T1083) with moderate to high confidence (85%), with evidence including file types exposed such as medical records, appointment data, and selective targeting of PHI/PII files. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (80%), with evidence including systems_affected includes multiple operational IT infrastructure, and outdated antivirus suggests unmonitored RDP movement. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), with evidence including data exfiltration such as true, and type of data compromised such as EHR, PHI, PII and Data Staged: Local Data Staging (T1074.001) with moderate to high confidence (85%), with evidence including large-scale PHI/PII exfiltration implies local staging, and sensitivity of data such as high. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with high confidence (90%), with evidence including data sold on dark web such as true implies C2 over HTTP/HTTPS, and exfiltration of high-volume PHI/PII suggests encrypted channels. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Asymmetric Encrypted Channel (T1048.002) with high confidence (95%), with evidence including data exfiltration such as true, data sold on dark web such as true, and sensitivity of data such as high and Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (75%), with evidence including unencrypted data could imply DNS/HTTP exfiltration, and lack of encryption safeguards per HIPAA violations. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (99%), with evidence including ransomware (implied), data encryption such as true, and frozen computers, inaccessible EHRs, Data Destruction (T1485) with moderate to high confidence (70%), with evidence including lack of backups increases likelihood of destructive actions, and operational disruption suggests potential data wiping, and Endpoint Denial of Service: Application Exhaustion Flood (T1499.004) with moderate to high confidence (80%), with evidence including frozen computers, and appointment cancellations due to system overload. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.