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Analyze » United States Federal Government » UNI1777983923

Incident Score: Analysis & Impact (UNI1777983923)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-288
Company Score Before Incident520 / 1000
Company Score After Incident232 / 1000
INCIDENT NUMBERUNI1777983923
Type of Cyber IncidentRansomware
ATTACK VECTORData extortion, exploitation of stolen data
DATA EXPOSEDSocial Security numbers, healthcare records,...
INCIDENT DATE30/06/2025
STATUSOngoing (related actors and networks)

Key Highlights From The Incident Analysis

  • Timeline of United States Federal Government'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 Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts United States Federal Government 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 Federal Government breach identified under incident ID UNI1777983923.

The analysis begins with a detailed overview of United States Federal Government's information like the linkedin page: https://www.linkedin.com/company/united-states-federal-government, the number of followers: 10486, the industry type: Government Administration and the number of employees: 4300 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 520 and after the incident was 232 with a difference of -288 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 Federal Government and their customers.

A newly reported cybersecurity incident, "Latvian Cybercriminal Sentenced for Role in Major Ransomware Operation", has drawn attention.

A Latvian national, Deniss Zolotarjovs, has been sentenced to 102 months in prison for his involvement in a Russian-linked ransomware syndicate that targeted over 54 companies worldwide between June 2021 and August 2023.

The disruption is felt across the environment, affecting Government 911 emergency system, corporate systems, and exposing Social Security numbers, healthcare records, personal data, children’s health records, with nearly Hundreds (pediatric healthcare provider case) records at risk, plus an estimated financial loss of $56 million (reported by 13 companies) + ~$13 million (estimated from 41 additional victims).

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (related actors and networks).

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 Exploit Public-Facing Application (T1190) with moderate confidence (50%), with evidence including targeted over 54 companies worldwide, and disabled a government 911 emergency system and Phishing: Spearphishing Attachment (T1566.001) with lower confidence (40%), with evidence including russian-linked ransomware syndicate, and highly organized criminal enterprise. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating ransomware brands such as Conti, Karakurt, Royal, TommyLeaks, SchoolBoys, Akira. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), with evidence including members had ties to former Russian law enforcement, and access to databases. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), with evidence including members had ties to former Russian law enforcement, and intimidation tactics. Under the Defense Evasion tactic, the analysis identified Rundll32 (T1085) with moderate confidence (50%), supported by evidence indicating ransomware syndicate used shell companies across Russia, Europe, U.S. and Modify Cloud Compute Infrastructure (T1578) with lower confidence (40%), with evidence including shell companies to obscure activities, and bribes and corruption. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating exposed Social Security numbers, healthcare records, personal data and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating access to databases via former Russian law enforcement ties. Under the Discovery tactic, the analysis identified Account Discovery: Domain Account (T1087.002) with moderate confidence (60%), supported by evidence indicating analyzing stolen data to escalate pressure on victims. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating social Security numbers, healthcare records, personal data compromised and Data from Network Shared Drive (T1039) with moderate to high confidence (70%), supported by evidence indicating children’s health records exploited from pediatric healthcare provider. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate confidence (60%), supported by evidence indicating russian-linked ransomware syndicate with St. Petersburg office. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including data exfiltration confirmed, and distributed sensitive records to hundreds of patients and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (50%), supported by evidence indicating threatened to leak or sell stolen data. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (80%), supported by evidence indicating ransomware brands such as Conti, Karakurt, Royal, TommyLeaks, SchoolBoys, Akira, Defacement: Internal Defacement (T1491.001) with moderate confidence (60%), supported by evidence indicating disabled a government 911 emergency system, and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate confidence (50%), supported by evidence indicating threatened to leak or sell children’s health records. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (50%)
Phishing: Spearphishing Attachment (40%)
Execution
User Execution: Malicious File (70%)
Persistence
Valid Accounts (60%)
Privilege Escalation
Valid Accounts (60%)
Defense Evasion
Rundll32 (50%)
Modify Cloud Compute Infrastructure (40%)
Credential Access
Unsecured Credentials: Credentials In Files (60%)
OS Credential Dumping (50%)
Discovery
Account Discovery: Domain Account (60%)
Collection
Data from Local System (80%)
Data from Network Shared Drive (70%)
Command and Control
Application Layer Protocol: Web Protocols (60%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service: Exfiltration to Cloud Storage (50%)
Impact
Data Encrypted for Impact (80%)
Defacement: Internal Defacement (60%)
Data Manipulation: Transmitted Data Manipulation (50%)

Sources & References