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Analyze » Federal Bureau of Investigation (FBI) » FBI1773239371

Incident Score: Analysis & Impact (FBI1773239371)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-57
Company Score Before Incident518 / 1000
Company Score After Incident461 / 1000
INCIDENT NUMBERFBI1773239371
Type of Cyber IncidentBreach
ATTACK VECTORExploited procedural errors and server vulnerability
DATA EXPOSEDFiles related to Jeffrey Epstein...
INCIDENT DATE11/02/2023
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 FBI1773239371.

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 518 and after the incident was 461 with a difference of -57 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 17 February 2024, Federal Bureau of Investigation (FBI) disclosed Data Breach issues under the banner "FBI’s Epstein Investigation Files Compromised in 2023 Cyber Breach by Foreign Hacker".

In February 2023, a foreign hacker infiltrated a server at the FBI’s New York field office, accessing files related to the bureau’s investigation of the late sex offender Jeffrey Epstein.

The disruption is felt across the environment, affecting FBI New York field office server (child exploitation forensic lab), and exposing Files related to Jeffrey Epstein investigation, possibly including child abuse imagery.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Restricted access to the affected server, and began remediation that includes Network remediation; ongoing investigation, and stakeholders are being briefed through Public disclosure via Reuters and CNN; internal review.

The case underscores how Ongoing, teams are taking away lessons such as Need for clearer IT protocols and guidance for handling sensitive digital evidence; risks of procedural errors in high-security environments; importance of securing servers containing highly sensitive data, and recommending next steps like Review and simplify digital evidence handling procedures; enhance IT training for agents; implement stricter access controls for sensitive servers; conduct regular security audits of forensic labs.

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 Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating server in the FBI’s child exploitation forensic lab was left vulnerable due to procedural errors and Exploitation for Privilege Escalation (T1068) with moderate confidence (50%), supported by evidence indicating procedural errors by Special Agent Aaron Spivack; unsecured server access. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating procedural errors by Special Agent Aaron Spivack; inadequate IT guidance. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with high confidence (90%), supported by evidence indicating hacker had searched through Epstein-related files. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating accessing files related to the bureau’s investigation of Jeffrey Epstein and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating files related to Jeffrey Epstein investigation, possibly including child abuse imagery. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating it remains unclear whether data was exfiltrated. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating procedural errors by Special Agent Aaron Spivack; unsecured server access and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating complex digital evidence protocols; inadequate IT guidance. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on whether data was retained or disseminated and Defacement (T1491) with lower confidence (40%), supported by evidence indicating text file warning of the compromise was found. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Exploitation for Privilege Escalation (50%)
Credential Access
Unsecured Credentials (70%)
Discovery
File and Directory Discovery (90%)
Collection
Data from Local System (80%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Defense Evasion
Valid Accounts (70%)
Impair Defenses: Disable or Modify Tools (50%)
Impact
Data Destruction (30%)
Defacement (40%)

Sources & References