Incident Score: Analysis & Impact (CHAFED1782133142)
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 Reserve Bank of New York's Ransomware 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 New York 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 New York breach identified under incident ID CHAFED1782133142.
The analysis begins with a detailed overview of Federal Reserve Bank of New York's information like the linkedin page: https://www.linkedin.com/company/federal-reserve-bank-of-new-york, the number of followers: 165624, the industry type: Financial Services and the number of employees: 3228 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 769 and after the incident was 654 with a difference of -115 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 New York and their customers.
On 01 January 2026, Change Healthcare disclosed Ransomware issues under the banner "Ransomware’s Double Trouble: Why Victims Are Being Claimed Twice in 2026".
In 2026, a troubling trend has emerged in the ransomware landscape where the same victim organizations are appearing on leak sites under two different ransomware group names.
The disruption is felt across the environment, and exposing True.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as The rise of duplicate claims complicates incident response, requiring defenders to distinguish between new intrusions, recycled access, and outright fraud to avoid misallocating resources or making flawed disclosure decisions, and recommending next steps like Same-day or near-simultaneous claims often indicate cartel rebranding or shared access, Days-to-weeks gaps suggest affiliate churn or re-extortion and Months-long gaps point to repeat victimization due to unaddressed vulnerabilities.
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%), with evidence including unpatched systems, and weak identity controls, Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating access brokers may also resell compromised credentials, and External Remote Services (T1133) with moderate confidence (50%), supported by evidence indicating flat networks after the first attack. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating ransomware strain identified in incident. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating affiliate churn or re-extortion via compromised credentials. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), with evidence including unpatched systems, and weak identity controls. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating affiliates reuse compromised credentials for re-extortion and Virtualization/Sandbox Evasion (T1497) with lower confidence (40%), supported by evidence indicating ransomware groups rebranding to evade detection. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating access brokers resell compromised credentials and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating weak identity controls. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate confidence (60%), supported by evidence indicating flat networks enable lateral movement and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating data exfiltration and encryption by ransomware. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (70%), supported by evidence indicating flat networks after the first attack and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating affiliates reuse compromised credentials. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating data exfiltration confirmed in ransomware incident and Data from Network Shared Drive (T1039) with moderate to high confidence (70%), supported by evidence indicating flat networks enable access to shared drives. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating ransomware groups use C2 for data exfiltration. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed in ransomware incident and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating leak sites used for extortion. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating data encryption confirmed in ransomware incident and Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating ransomware attack threatening organizations existence. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Federal Reserve Bank of New York Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/federal-reserve-bank-of-new-york/incident/CHAFED1782133142
- Federal Reserve Bank of New York CyberSecurity Rating page: https://www.rankiteo.com/company/federal-reserve-bank-of-new-york
- Federal Reserve Bank of New York Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/chafed1782133142-change-healthcare-federal-reserve-ransomware-january-2026/
- Federal Reserve Bank of New York CyberSecurity Score History: https://www.rankiteo.com/company/federal-reserve-bank-of-new-york/history
- Federal Reserve Bank of New York CyberSecurity Incident Source: https://www.bitdefender.com/en-au/blog/businessinsights/claimed-twice-five-reasons-same-ransomware-victim-appears-under-two-flags
- 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