Incident Score: Analysis & Impact (FBI1776097914)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
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 FBI1776097914.
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 107 and after the incident was 100 with a difference of -7 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, "FBI Reports Record $20.87 Billion in Cybercrime Losses for 2025, Driven by AI-Enhanced Scams", has drawn attention.
The FBI’s 2025 Internet Crime Report revealed a historic surge in cybercrime, with reported losses reaching $20.87 billion.
The disruption is felt across the environment, plus an estimated financial loss of $20.87 billion.
Formal response steps have not been shared publicly yet.
The case underscores how Reported, teams are taking away lessons such as Cybercriminals are leveraging AI to refine traditional scams, making them more profitable and harder to detect. AI-driven schemes are rapidly growing and contributing to significant financial losses.
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 Phishing (T1566) with high confidence (90%), supported by evidence indicating phishing remained the most reported crime (191,561 complaints), Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (80%), supported by evidence indicating business email compromise (BEC) caused significant losses, and Phishing: Spearphishing via Service (T1566.003) with moderate to high confidence (70%), supported by evidence indicating tech support scams and government impersonation scams surged. Under the Execution tactic, the analysis identified User Execution (T1204) with moderate to high confidence (80%), supported by evidence indicating social engineering and AI-enhanced scams executed via user interaction and User Execution: Malicious Link (T1204.001) with moderate to high confidence (70%), supported by evidence indicating phishing and investment scams rely on malicious links. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating aI-driven schemes likely include credential stuffing or guessing and Unsecured Credentials: Container API (T1552.007) with moderate confidence (50%), supported by evidence indicating underreporting suggests possible undetected credential theft. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate to high confidence (80%), supported by evidence indicating aI-generated videos impersonating public figures, deepfake interviews and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating government impersonation scams mimic senior U.S. officials. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating investment scams and BEC target financial and personal data and Data from Cloud Storage (T1530) with moderate confidence (60%), supported by evidence indicating aI-driven schemes may access cloud-stored sensitive data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating $20.87B in losses implies large-scale data or financial exfiltration and Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (70%), supported by evidence indicating aI-enhanced scams likely use encrypted channels for exfiltration. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating ransomware made up 75% of reported incidents and Defacement (T1491) with moderate confidence (50%), supported by evidence indicating aI-generated deepfakes may deface digital identities. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Federal Bureau of Investigation (FBI) Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/fbi/incident/FBI1776097914
- Federal Bureau of Investigation (FBI) CyberSecurity Rating page: https://www.rankiteo.com/company/fbi
- Federal Bureau of Investigation (FBI) Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/fbi1776097914-fbi-cyber-attack-april-2026/
- Federal Bureau of Investigation (FBI) CyberSecurity Score History: https://www.rankiteo.com/company/fbi/history
- Federal Bureau of Investigation (FBI) CyberSecurity Incident Source: https://www.theregister.com/2026/04/07/cybercrime_losses_reach_alltime_high/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf