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Analyze » Federal Reserve Bank of Richmond » FED1774643844

Incident Score: Analysis & Impact (FED1774643844)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-65
Company Score Before Incident762 / 1000
Company Score After Incident697 / 1000
INCIDENT NUMBERFED1774643844
Type of Cyber IncidentBreach
ATTACK VECTOREmail Compromise
DATA EXPOSEDPersonal emails, files dating up...
INCIDENT DATE31/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Federal Reserve Bank of Richmond'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 Reserve Bank of Richmond 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 Reserve Bank of Richmond breach identified under incident ID FED1774643844.

The analysis begins with a detailed overview of Federal Reserve Bank of Richmond's information like the linkedin page: https://www.linkedin.com/company/federal-reserve-bank-of-richmond, the number of followers: 35799, the industry type: Banking and the number of employees: 2173 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 762 and after the incident was 697 with a difference of -65 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 Reserve Bank of Richmond and their customers.

Kash Patel recently reported "Iran-Backed Hacking Group 'Handala' Claims Breach of FBI Director’s Personal Email", a noteworthy cybersecurity incident.

The Iran-linked hacking group Handala announced it had compromised the personal Gmail account of Kash Patel, a former senior FBI official.

The disruption is felt across the environment, affecting Personal Gmail account, former Justice Department email address, and exposing Personal emails, files dating up to 2019.

In response, and stakeholders are being briefed through Public disclosure, reward offer for information.

The case underscores how Ongoing, with advisories going out to stakeholders covering FBI offers $10 million reward for information on Handala operatives.

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: Spearphishing Link (T1566.002) with moderate to high confidence (80%), supported by evidence indicating compromised the personal Gmail account of Kash Patel and Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating authenticity of leaked emails confirmed via cryptographic signatures. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating compromised personal Gmail account (no MFA details mentioned) and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (50%), supported by evidence indicating files allegedly extracted from his account. Under the Collection tactic, the analysis identified Email Collection: Remote Email Collection (T1114.002) with high confidence (90%), supported by evidence indicating cache of files allegedly extracted from his Gmail account and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating files dating up to 2019 allegedly extracted. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating posted images of a younger Patel alongside a cache of files and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (60%), supported by evidence indicating group quickly resumed operations on new domains. Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating destructive attack on medical tech firm Stryker that wiped devices and Disk Wipe: Disk Structure Wipe (T1561.002) with lower confidence (40%), supported by evidence indicating destructive attack on Stryker wiped tens of thousands of devices. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Window (T1564.003) with moderate confidence (50%), supported by evidence indicating group quickly resumed operations on new domains after FBI seizure and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating used compromised Gmail account to access historical data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing: Spearphishing Link (80%)
Valid Accounts: Cloud Accounts (90%)
Credential Access
Brute Force: Password Guessing (60%)
Unsecured Credentials: Credentials In Files (50%)
Collection
Email Collection: Remote Email Collection (90%)
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service: Exfiltration to Cloud Storage (60%)
Impact
Data Destruction (50%)
Disk Wipe: Disk Structure Wipe (40%)
Defense Evasion
Hide Artifacts: Hidden Window (50%)
Valid Accounts: Cloud Accounts (70%)

Sources & References