Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Federal Bureau of Investigation (FBI) » FBI1778466322

Incident Score: Analysis & Impact (FBI1778466322)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-52
Company Score Before Incident329 / 1000
Company Score After Incident277 / 1000
INCIDENT NUMBERFBI1778466322
Type of Cyber IncidentCyber Attack
ATTACK VECTORstolen personal data, social engineering, violence-as-a-service
DATA EXPOSEDhome addresses, social security numbers,...
INCIDENT DATE30/04/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Federal Bureau of Investigation (FBI)'s Cyber Attack 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 FBI1778466322.

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: 936451, the industry type: Law Enforcement and the number of employees: 10118 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 329 and after the incident was 277 with a difference of -52 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.

A newly reported cybersecurity incident, "Cybercriminals Escalate Threats with Physical Violence in Extortion Schemes", has drawn attention.

Cyberattacks are increasingly accompanied by threats of physical harm, marking a dangerous evolution in ransomware and extortion tactics.

The disruption is felt across the environment, and exposing home addresses, social security numbers and workplace details, plus an estimated financial loss of $20.8 billion (U.S. organizations in 2025).

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as The trend of physical threats in cyber extortion will persist as long as victims continue to pay ransoms. Personal risks extend to cybersecurity negotiators and other stakeholders, and recommending next steps like Avoid paying ransoms to deter further attacks, Enhance protection of personal data to prevent intimidation and Collaborate with law enforcement to combat violence-as-a-service.

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 Accounts (T1586) with moderate to high confidence (70%), supported by evidence indicating attackers leveraging stolen personal data such as home addresses and Phishing for Information (T1598) with moderate confidence (60%), supported by evidence indicating social engineering...to intimidate victims. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating stolen personal data such as...social security numbers and Gather Victim Identity Information: Email Addresses (T1589.002) with moderate to high confidence (70%), supported by evidence indicating workplace details...disclosed to intimidate victims. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating home addresses, social security numbers, and workplace details and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating personal identifiable information compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration such as yes in ransomware section and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating data used for intimidation and extortion schemes. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating ransomware and extortion tactics mentioned and Financial Theft (T1657) with high confidence (90%), supported by evidence indicating u.S. organizations lost $20.8 billion to cybercrime. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Users (T1564.002) with moderate confidence (60%), supported by evidence indicating young cybercriminals (ages 17-25) involved and Valid Accounts: Cloud Accounts (T1078.004) with moderate confidence (50%), supported by evidence indicating state-sponsored actors (Russia, China, Iran, North Korea). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Compromise Accounts (70%)
Phishing for Information (60%)
Credential Access
Unsecured Credentials: Credentials In Files (80%)
Gather Victim Identity Information: Email Addresses (70%)
Collection
Data from Local System (90%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (60%)
Impact
Data Encrypted for Impact (50%)
Financial Theft (90%)
Defense Evasion
Hide Artifacts: Hidden Users (60%)
Valid Accounts: Cloud Accounts (50%)

Sources & References