Marine Corps Recruiting Breach Incident Score: Analysis & Impact (UNI1773182377)
The Rankiteo video explains how the company Marine Corps Recruiting has been impacted by a Breach on the date May 14, 2025.
Incident Summary
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Key Highlights From This Incident Analysis
- Timeline of Marine Corps Recruiting's Breach 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 Marine Corps Recruiting 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 Marine Corps Recruiting breach identified under incident ID UNI1773182377.
The analysis begins with a detailed overview of Marine Corps Recruiting's information like the linkedin page: https://www.linkedin.com/company/united-states-marine-corps, the number of followers: 184652, the industry type: Armed Forces and the number of employees: 40565 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 784 and after the incident was 730 with a difference of -54 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 Marine Corps Recruiting and their customers.
On 14 May 2025, U.S. Marine Corps (USMC) disclosed Data Breach issues under the banner "USMC Data Breach Impacting Sensitive Personal and Health Information".
The U.S.
The disruption is felt across the environment, affecting Limited segment of USMC network, and exposing Sensitive personal identifiable information (PII) and protected health information (PHI).
In response, and stakeholders are being briefed through Notifying affected individuals via mail, providing details on compromised data and offering complimentary credit monitoring services.
The case underscores how Ongoing, with advisories going out to stakeholders covering Notifying affected individuals via mail with details on compromised data and offering complimentary credit monitoring services.
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 unauthorized third party accessed sensitive data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating suspicious activity within a limited segment of its network. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating social Security numbers, government ID numbers compromised and Credentials from Password Stores (T1555) with moderate confidence (50%), supported by evidence indicating financial account information (e.g., mortgage details) exposed. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate confidence (60%), supported by evidence indicating sensitive personal and health information accessed and File and Directory Discovery (T1083) with moderate confidence (50%), supported by evidence indicating medical records and financial account information compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating pII and PHI compromised, including medical records and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating driverโs license numbers, government ID numbers accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized third party accessed sensitive data and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating data breach impacting sensitive personal and health information. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating suspicious activity within a limited segment of its network and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating high identity theft and payment information risk. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources
- Marine Corps Recruiting Rankiteo Cyber Incident Details: http://www.rankiteo.com/company/united-states-marine-corps/incident/UNI1773182377
- Marine Corps Recruiting CyberSecurity Rating page: https://www.rankiteo.com/company/united-states-marine-corps
- Marine Corps Recruiting Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/uni1773182377-us-marine-corps-breach-may-2025/
- Marine Corps Recruiting CyberSecurity Score History: https://www.rankiteo.com/company/united-states-marine-corps/history
- Marine Corps Recruiting CyberSecurity Incident Source: https://straussborrelli.com/2026/03/10/us-mortgage-corporation-data-breach-investigation/
- 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






