California Medical Evaluators Breach Incident Score: Analysis & Impact (CAL1772735084)
The Rankiteo video explains how the company California Medical Evaluators has been impacted by a Ransomware on the date November 12, 2024.
Incident Summary
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Key Highlights From This Incident Analysis
- Timeline of California Medical Evaluators's Ransomware and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteoโs incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts California Medical Evaluators Rankiteo cyber scoring and cyber rating.
- Rankiteoโs MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the California Medical Evaluators breach identified under incident ID CAL1772735084.
The analysis begins with a detailed overview of California Medical Evaluators's information like the linkedin page: https://www.linkedin.com/company/california-medical-evaluators-inc-, the number of followers: 1124, the industry type: Legal Services and the number of employees: 61 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 751 and after the incident was 493 with a difference of -258 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 California Medical Evaluators and their customers.
California public school system recently reported "Russian National Pleads Guilty in Phobos Ransomware Scheme", a noteworthy cybersecurity incident.
A 43-year-old Russian national, Evgenii Ptitsyn, pleaded guilty to wire fraud charges for his role as a key figure in the Phobos ransomware operation.
The disruption is felt across the environment, and exposing Stolen data sold on darknet, plus an estimated financial loss of $16 million (estimated total extorted).
In response, and began remediation that includes Free decryption tool released by Japanese officials (July 2024).
The case underscores how Ongoing (parts of the group dismantled).
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 (T1566) with moderate confidence (50%), supported by evidence indicating cybercriminal forums, darknet site for selling stolen data and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating targeting over 1,000 organizations worldwide. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating phobos ransomware campaign launched in November 2020. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating phobos ransomware strain used for encryption and Execution Guardrails (T1480) with moderate confidence (60%), supported by evidence indicating ransomware targeted specific organizations globally. Under the Credential Access tactic, the analysis identified Adversary-in-the-Middle (T1557) with moderate confidence (50%), supported by evidence indicating affiliates carried out attacks, likely using stolen credentials. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating data exfiltration and encryption by ransomware. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating stolen data sold on darknet. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed, sold on darknet. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (95%), supported by evidence indicating phobos ransomware encryption, $300,000 ransom paid and Service Stop (T1489) with moderate to high confidence (70%), supported by evidence indicating ransomware attack threatening organizations existence. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources
- California Medical Evaluators Rankiteo Cyber Incident Details: http://www.rankiteo.com/company/california-medical-evaluators-inc-/incident/CAL1772735084
- California Medical Evaluators CyberSecurity Rating page: https://www.rankiteo.com/company/california-medical-evaluators-inc-
- California Medical Evaluators Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/cal1772735084-california-public-school-system-ransomware-november-2024/
- California Medical Evaluators CyberSecurity Score History: https://www.rankiteo.com/company/california-medical-evaluators-inc-/history
- California Medical Evaluators CyberSecurity Incident Source: https://therecord.media/phobos-ransomware-leader-facing-20-years
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/static/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf






