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Analyze » Federal Bureau of Investigation (FBI) » FBI1788603918

Incident Score: Analysis & Impact (FBI1788603918)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact0
Company Score Before Incident100 / 1000
Company Score After Incident100 / 1000
INCIDENT NUMBERFBI1788603918
Type of Cyber IncidentBreach
ATTACK VECTORThird-party data exposure
DATA EXPOSED153 million scanned IDs
INCIDENT DATE01/09/2026
STATUSActive (FBI)

Key Highlights From The Incident Analysis

  • Timeline of Federal Bureau of Investigation (FBI)'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 Federal Bureau of Investigation (FBI) 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 Federal Bureau of Investigation (FBI) breach identified under incident ID FBI1788603918.

The analysis begins with a detailed overview of Federal Bureau of Investigation (FBI)'s information like the linkedin page: https://www.linkedin.com/company/fbi, the number of followers: 963487, the industry type: Law Enforcement and the number of employees: 10425 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 100 and after the incident was 100 with a difference of 0 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 Federal Bureau of Investigation (FBI) and their customers.

Car rental companies recently reported "Dark Web Marketplace Nexus Exposes Over 153 Million Scanned IDs, Including High-Profile Targets", a noteworthy cybersecurity incident.

A recent investigation by KrebsOnSecurity has uncovered a dark web marketplace called Nexus, which is selling high-resolution scans of over 153 million driver’s licenses and other sensitive IDs, including those of journalists, security researchers, and even an FBI assistant di...

The disruption is felt across the environment, and exposing 153 million scanned IDs, with nearly 153 million+ records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Active (FBI), teams are taking away lessons such as The incident highlights vulnerabilities in third-party ID verification processes and the risks of scanned document exfiltration, and recommending next steps like Organizations handling sensitive IDs should implement stricter data protection measures, including encryption, access controls, and monitoring for unauthorized exfiltration.

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 Compromise Infrastructure: Server (T1584.004) with moderate to high confidence (80%), supported by evidence indicating breach appears to stem from car rental companies and other organizations and Trusted Relationship (T1199) with high confidence (90%), supported by evidence indicating third-party data exposure in industries handling sensitive ID documents. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (90%), supported by evidence indicating 153 million scanned IDs, including driver’s licenses, CACs, medical cards and Unsecured Credentials: Private Keys (T1552.004) with moderate to high confidence (70%), supported by evidence indicating infrared/ultraviolet captures to bypass hologram-based fraud detection. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating scanned IDs exfiltrated from car rental companies and dispensaries and Data from Information Repositories: Sharepoint (T1213.002) with moderate confidence (60%), supported by evidence indicating records traced back to organizations routinely scanning customer IDs. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating 153 million+ IDs sold on dark web marketplace Nexus and Exfiltration Over Web Service: Exfiltration to Code Repository (T1567.001) with moderate confidence (50%), supported by evidence indicating high-resolution scans available in multiple image formats. Under the Impact tactic, the analysis identified Gather Victim Identity Information: Email Addresses (T1589.002) with moderate to high confidence (70%), supported by evidence indicating iDs include PII, government access credentials (CACs) and Defacement: External Defacement (T1491.002) with moderate confidence (60%), supported by evidence indicating high-profile targets (FBI assistant director, journalists) exposed. Under the Defense Evasion tactic, the analysis identified Subvert Trust Controls: Install Root Certificate (T1553.004) with moderate confidence (50%), supported by evidence indicating infrared/ultraviolet captures to bypass fraud detection. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Compromise Infrastructure: Server (80%)
Trusted Relationship (90%)
Credential Access
Unsecured Credentials: Credentials In Files (90%)
Unsecured Credentials: Private Keys (70%)
Collection
Data from Local System (90%)
Data from Information Repositories: Sharepoint (60%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service: Exfiltration to Code Repository (50%)
Impact
Gather Victim Identity Information: Email Addresses (70%)
Defacement: External Defacement (60%)
Defense Evasion
Subvert Trust Controls: Install Root Certificate (50%)

Sources & References