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Analyze » National Missing and Unidentified Persons System (NamUs) » NAM1765383783

Incident Score: Analysis & Impact (NAM1765383783)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-83
Company Score Before Incident806 / 1000
Company Score After Incident723 / 1000
Company LinkView National Missing and Unidentified Persons System (NamUs) Profile
INCIDENT NUMBERNAM1765383783
Type of Cyber IncidentBreach
ATTACK VECTORUnauthorized Access
DATA EXPOSED64 million records
INCIDENT DATE02/12/2025
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of National Missing and Unidentified Persons System (NamUs)'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 National Missing and Unidentified Persons System (NamUs) 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 National Missing and Unidentified Persons System (NamUs) breach identified under incident ID NAM1765383783.

The analysis begins with a detailed overview of National Missing and Unidentified Persons System (NamUs)'s information like the linkedin page: https://www.linkedin.com/company/namusinfo, the number of followers: 0, the industry type: Government Administration and the number of employees: 7 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 806 and after the incident was 723 with a difference of -83 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 National Missing and Unidentified Persons System (NamUs) and their customers.

On 24 October 2023, a cybersecurity incident called "Spanish Suspect Arrested for Stealing and Selling 64 Million Personal Data Records" came to light.

A 19-year-old man in northeastern Spain was arrested for allegedly stealing and selling approximately 64 million personal data records from nine companies.

The disruption is felt across the environment, and exposing 64 million records, with nearly 64 million records at risk.

In response, moved swiftly to contain the threat with measures like Arrest of suspect, seizure of electronic devices and cryptocurrency wallets.

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 Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating infiltrating corporate systems to extract sensitive information and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating unauthorized Access as attack vector. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (60%), supported by evidence indicating infiltrating corporate systems (implied credential abuse). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 64 million personal data records stolen from nine companies. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration such as Yes, sold on hacker forums and Exfiltration Over Web Service (T1567) with moderate to high confidence (80%), supported by evidence indicating offering the data for sale on hacker forums. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no ransomware strain identified, but data theft implies impact and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating 64 million records stolen (potential manipulation risk). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Sources & References