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Analyze » U.S. Customs and Border Protection » US-CUSU-S1768592906

Incident Score: Analysis & Impact (US-CUSU-S1768592906)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-76
Company Score Before Incident787 / 1000
Company Score After Incident711 / 1000
Company LinkView U.S. Customs and Border Protection Profile
INCIDENT NUMBERUS-CUSU-S1768592906
Type of Cyber IncidentBreach
ATTACK VECTORDistributed Denial-of-Service (DDoS)
DATA EXPOSEDNames, personal phone numbers, and...
INCIDENT DATE06/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of U.S. Customs and Border Protection'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 U.S. Customs and Border Protection 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 U.S. Customs and Border Protection breach identified under incident ID US-CUSU-S1768592906.

The analysis begins with a detailed overview of U.S. Customs and Border Protection's information like the linkedin page: https://www.linkedin.com/company/customs-and-border-protection, the number of followers: 323818, the industry type: Government Administration and the number of employees: 9622 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 787 and after the incident was 711 with a difference of -76 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 U.S. Customs and Border Protection and their customers.

On 13 January 2026, ICE List Wiki disclosed DDoS issues under the banner "Cyberattack Targets ICE List Wiki Ahead of Federal Agent Data Leak".

A major cyberattack disrupted the ICE List Wiki, a Netherlands-based activist platform, just as it prepared to publish the identities of thousands of U.S.

The disruption is felt across the environment, affecting ICE List Wiki servers, and exposing Names, personal phone numbers, and work histories of ~4,500 ICE and Border Patrol employees, with nearly 4,500 records at risk.

In response, moved swiftly to contain the threat with measures like Migration to more secure servers, while recovery efforts such as Site resumed operations continue.

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 Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating iCE List Wiki servers were targeted by a sustained DDoS attack. Under the Impact tactic, the analysis identified Network Denial of Service (T1498) with high confidence (90%), supported by evidence indicating sustained distributed denial-of-service (DDoS) attack...flooding its servers and Endpoint Denial of Service: Service Exhaustion Flood (T1499.002) with moderate to high confidence (80%), supported by evidence indicating flooding its servers with malicious traffic and forcing it offline. Under the Defense Evasion tactic, the analysis identified Proxy (T1090) with moderate to high confidence (80%), supported by evidence indicating true source remains obscured by proxy networks and Dynamic Resolution: Domain Generation Algorithms (T1568.002) with moderate confidence (50%), supported by evidence indicating attack traffic appeared to originate from a Russian bot farm. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating leaked data...includes names, personal phone numbers, and work histories. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data provided by a Department of Homeland Security (DHS) whistleblower. 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 (40%)
Impact
Network Denial of Service (90%)
Endpoint Denial of Service: Service Exhaustion Flood (80%)
Defense Evasion
Proxy (80%)
Dynamic Resolution: Domain Generation Algorithms (50%)
Collection
Data from Information Repositories (90%)
Exfiltration
Exfiltration Over C2 Channel (70%)

Sources & References