Incident Score: Analysis & Impact (BNY1776199205)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of BNY'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 BNY 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 BNY breach identified under incident ID BNY1776199205.
The analysis begins with a detailed overview of BNY's information like the linkedin page: https://www.linkedin.com/company/bnyglobal, the number of followers: 966948, the industry type: Financial Services and the number of employees: 54093 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 807 and after the incident was 758 with a difference of -49 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 BNY and their customers.
On 01 April 2026, BNY Mellon National Association disclosed Data Breach issues under the banner "BNY Mellon Discloses Data Breach Affecting Employee Profit Sharing Plan Participants".
BNY Mellon National Association reported a data breach impacting participants in its employee Profit Sharing Plan (PSP).
The disruption is felt across the environment, affecting Internal system used to manage the Profit Sharing Plan (PSP), and exposing Names, Social Security numbers, home addresses, bank account and routing numbers, PSP payment details.
In response, and stakeholders are being briefed through Notification letters sent to affected individuals.
The case underscores how Ongoing (no evidence of data modification, but could not confirm if data was viewed), and recommending next steps like Affected individuals should enroll in the offered identity theft protection services by October 1, 2026, with advisories going out to stakeholders covering Notification letters sent with instructions for enrolling in identity theft protection services. Support available via 1-800-418-0273.
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 Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating unauthorized access to an internal system used to manage the PSP and Exploit Public-Facing Application (T1190) with lower confidence (30%), supported by evidence indicating internal system used to manage the PSP. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating social Security numbers, bank account and routing numbers compromised and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (50%), supported by evidence indicating internal system used to manage the PSP contained sensitive data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating names, Social Security numbers, home addresses, bank account details exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach impacting participants in its employee Profit Sharing Plan and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating unauthorized access to internal system with sensitive data. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (20%), supported by evidence indicating no evidence of data modification by the threat actor and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (10%), supported by evidence indicating no evidence of data modification by the threat actor. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to internal system without detection until March 10, 2026 and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating investigation could not confirm if data was viewed. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- BNY Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/bnyglobal/incident/BNY1776199205
- BNY CyberSecurity Rating page: https://www.rankiteo.com/company/bnyglobal
- BNY Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/bny1776199205-bny-mellon-national-association-breach-march-2026/
- BNY CyberSecurity Score History: https://www.rankiteo.com/company/bnyglobal/history
- BNY CyberSecurity Incident Source: https://www.claimdepot.com/data-breach/bny-mellon-2026
- 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