Federal Bureau of Investigation (FBI) Breach Incident Score: Analysis & Impact (FBICISUS-UNI1767786135)

In this Rankiteo incident briefing, we review the Federal Bureau of Investigation (FBI) breach identified under incident ID FBICISUS-UNI1767786135.

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 632 and after the incident was 615 with a difference of -17 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.

Healthcare sector organizations recently reported "DHS Warning of Escalating Cyberattack Risks by Iran-Backed Hacking Groups", a noteworthy cybersecurity incident.

The U.S.

Impact assessments are still underway, so the full scope is not yet clear.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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.

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 Brute Force (T1110) with high confidence (90%), with evidence including brute-force attacks, password spraying, and mFA fatigue (push bombing) and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating poorly secured networks, MFA vulnerabilities. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with high confidence (90%), with evidence including brute-force attacks, and password spraying, Brute Force: Password Spraying (T1110.003) with high confidence (90%), supported by evidence indicating password spraying, and Multi-Factor Authentication Request Generation (T1621) with moderate to high confidence (80%), supported by evidence indicating mFA fatigue (push bombing). Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating iran-backed hackers acting as initial access brokers. Under the Defense Evasion tactic, the analysis identified Modify Authentication Process: Multi-Factor Authentication (T1556.006) with moderate to high confidence (70%), supported by evidence indicating mFA fatigue (push bombing). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (60%), supported by evidence indicating selling access to compromised networks to ransomware affiliates. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.