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Analyze » Federal Bureau of Investigation (FBI) » TEXFBI1773153659

Incident Score: Analysis & Impact (TEXFBI1773153659)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-103
Company Score Before Incident535 / 1000
Company Score After Incident432 / 1000
Company LinkView Federal Bureau of Investigation (FBI) Profile
INCIDENT NUMBERTEXFBI1773153659
Type of Cyber IncidentBreach
ATTACK VECTORPhishing, Exploitation of stolen personal data
DATA EXPOSEDPersonal data (Social Security numbers,...
INCIDENT DATE31/12/2023
STATUSOngoing

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 TEXFBI1773153659.

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 535 and after the incident was 432 with a difference of -103 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.

On 09 March 2024, Texas residents disclosed Data Breach, Identity Fraud, Account Takeover issues under the banner "Texas Personal Data Breach Losses in 2024".

Texas residents lost over $70.4 million in 2024 due to account takeovers and identity fraud, driven by criminals exploiting stolen personal data.

The disruption is felt across the environment, affecting Bank accounts, Investment portfolios and Email systems, and exposing Personal data (Social Security numbers, birthdates, account credentials), financial account details, cryptocurrency wallets, plus an estimated financial loss of $70.4 million.

In response, and stakeholders are being briefed through Public advisories via FBI Dallas Facebook post and IC3 reports.

The case underscores how Ongoing, teams are taking away lessons such as Timely reporting of breaches and fraud is critical to disrupting fraudulent transactions and aiding law enforcement investigations, and recommending next steps like Alert financial institutions immediately after detecting fraud, File complaints via IC3 and Contact local law enforcement, with advisories going out to stakeholders covering Law enforcement urges faster victim reporting and stronger account protections.

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 high confidence (90%), with evidence including account takeovers and identity fraud, and stolen personal data (Social Security numbers, birthdates, account credentials) and Phishing (T1566) with moderate to high confidence (80%), with evidence including phishing listed as attack vector, and exploitation of stolen personal data. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with high confidence (90%), supported by evidence indicating stolen personal data (Social Security numbers, birthdates, account credentials) and Brute Force (T1110) with moderate to high confidence (70%), supported by evidence indicating criminals bypassing security measures to drain financial assets. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating account takeovers using stolen credentials to reset passwords. Under the Defense Evasion tactic, the analysis identified Use Alternate Authentication Material (T1550) with moderate to high confidence (80%), supported by evidence indicating bypassing security measures using stolen credentials. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal data (Social Security numbers, birthdates, account credentials) compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including $70.4 million lost due to data breach and fraud, and data exfiltration confirmed. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no direct evidence, but financial theft implies impact and Financial Theft (T1657) with high confidence (95%), supported by evidence indicating $70.4 million lost due to account takeovers and identity fraud. 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 (90%)
Phishing (80%)
Credential Access
Unsecured Credentials (90%)
Brute Force (70%)
Privilege Escalation
Valid Accounts (90%)
Defense Evasion
Use Alternate Authentication Material (80%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Impact
Data Encrypted for Impact (30%)
Financial Theft (95%)

Sources & References