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Analyze » BOK Financial » BOK4835648112625

Incident Score: Analysis & Impact (BOK4835648112625)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-61
Company Score Before Incident780 / 1000
Company Score After Incident719 / 1000
INCIDENT NUMBERBOK4835648112625
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDName, Social Security number
INCIDENT DATE30/04/2025
STATUSCompleted (as of November 2025, notifications sent)

Key Highlights From The Incident Analysis

  • Timeline of BOK Financial'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 BOK Financial 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 BOK Financial breach identified under incident ID BOK4835648112625.

The analysis begins with a detailed overview of BOK Financial's information like the linkedin page: https://www.linkedin.com/company/bok-financial, the number of followers: 34274, the industry type: Financial Services and the number of employees: 6685 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 780 and after the incident was 719 with a difference of -61 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 BOK Financial and their customers.

On 21 November 2025, BOK Financial disclosed Data Breach and Third-Party Breach issues under the banner "BOK Financial Data Breach via Linedata Services Inc.".

BOK Financial reported a data breach where sensitive personal identifiable information (PII) in its care may have been compromised due to a cybersecurity incident at its third-party service provider, Linedata Services Inc.

The disruption is felt across the environment, and exposing Name and Social Security number.

In response, teams activated the incident response plan, while recovery efforts such as Offered 12 months of complimentary credit monitoring services to affected individuals continue, and stakeholders are being briefed through Mailed data breach notification letters to impacted individuals (starting November 21, 2025) and filed notices with the Attorney General of Maine.

The case underscores how Completed (as of November 2025, notifications sent), with advisories going out to stakeholders covering Notification letters mailed to affected individuals with details on impacted data and credit monitoring services.

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 Trusted Relationship (T1199) with moderate to high confidence (85%), supported by evidence indicating third-Party Breach via Linedata Services Inc. (trusted vendor). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating unauthorized access may have occurred, exposing PII such as names and Social Security numbers. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (75%), supported by evidence indicating potential unauthorized access confirmed to PII (no explicit exfiltration method detailed). Under the Impact tactic, the analysis identified Data from Cloud Storage Object (T1598) with moderate to high confidence (80%), supported by evidence indicating sensitive personal information stored in Linedata’s systems (implied cloud/third-party storage) and Identity Theft (T1659) with high confidence (95%), supported by evidence indicating high (due to exposure of SSNs) and risk of fraud or identity theft. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Sources & References