Incident Score: Analysis & Impact (UNI1769676090)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of United States Marshals Service'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 Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts United States Marshals Service Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the United States Marshals Service breach identified under incident ID UNI1769676090.
The analysis begins with a detailed overview of United States Marshals Service's information like the linkedin page: https://www.linkedin.com/company/united-states-marshals-service, the number of followers: 209806, the industry type: Law Enforcement and the number of employees: 1609 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 747 and after the incident was 602 with a difference of -145 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 United States Marshals Service and their customers.
On 26 January 2025, US Marshals Service (USMS) disclosed Data Breach, Cryptocurrency Theft issues under the banner "US Marshals Service Investigates Potential Hack of Government Crypto Accounts".
The US Marshals Service (USMS) is probing a possible breach of government digital-asset accounts responsible for managing cryptocurrencies seized or forfeited by federal law enforcement.
The disruption is felt across the environment, affecting Government digital-asset accounts, and exposing Cryptocurrency wallet access, plus an estimated financial loss of $60 million.
In response, and stakeholders are being briefed through Public acknowledgment via X (Twitter).
The case underscores how Ongoing.
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.
MITRE ATT&CK® Correlation Analysis
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 Cloud Service Discovery (T1526) with moderate confidence (60%), supported by evidence indicating government digital-asset accounts responsible for managing cryptocurrencies and Valid Accounts (T1078) with moderate to high confidence (70%), with evidence including breach of government digital-asset accounts, and cryptocurrency wallet credentials compromised. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Private Keys (T1552.004) with moderate to high confidence (80%), with evidence including cryptocurrency wallet credentials compromised, and over $60 million in stolen funds and Credentials from Password Stores (T1555) with moderate confidence (60%), with evidence including government seizure wallets targeted, and high-value targets identified. Under the Lateral Movement tactic, the analysis identified Use Alternate Authentication Material: Pass the Hash (T1550.002) with moderate confidence (50%), supported by evidence indicating access to cryptocurrency wallets implies lateral movement. Under the Collection tactic, the analysis identified Data from Cloud Storage (T1530) with moderate to high confidence (70%), supported by evidence indicating cryptocurrencies seized or forfeited by federal law enforcement. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with high confidence (90%), with evidence including over $60 million in stolen funds, and cryptocurrency theft remains a persistent threat and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), with evidence including government digital-asset accounts targeted, and blockchain-based exfiltration likely. Under the Impact tactic, the analysis identified Service Stop (T1489) with moderate confidence (50%), supported by evidence indicating attack threatening the organizations existence and Defacement: Internal Defacement (T1491.001) with lower confidence (40%), supported by evidence indicating brand reputation impact such as High. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- United States Marshals Service Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/united-states-marshals-service/incident/UNI1769676090
- United States Marshals Service CyberSecurity Rating page: https://www.rankiteo.com/company/united-states-marshals-service
- United States Marshals Service Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/uni1769676090-us-marshals-service-breach-december-2025/
- United States Marshals Service CyberSecurity Score History: https://www.rankiteo.com/company/united-states-marshals-service/history
- United States Marshals Service CyberSecurity Incident Source: https://www.insurancejournal.com/news/national/2026/01/29/856035.htm
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf