Incident Score: Analysis & Impact (LAKPINBAY1774312810)

In this Rankiteo incident briefing, we review the Bayview Loan Servicing, LLC breach identified under incident ID LAKPINBAY1774312810.

The analysis begins with a detailed overview of Bayview Loan Servicing, LLC's information like the linkedin page: https://www.linkedin.com/company/bayview-loan-servicing-llc, the number of followers: 7480, the industry type: Financial Services and the number of employees: 391 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 756 and after the incident was 546 with a difference of -210 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 Bayview Loan Servicing, LLC and their customers.

On 11 October 2021, Lakeview Loan Servicing LLC disclosed Data Breach issues under the banner "Lakeview Loan Servicing Data Breach Settlement".

Lakeview Loan Servicing LLC and its affiliates reached a $26 million settlement to resolve a class action lawsuit stemming from a data breach in October 2021 that exposed the personally identifiable information (PII) of up to 5.8 million current and former customers.

The disruption is felt across the environment, and exposing Personally Identifiable Information (PII), with nearly 5,800,000 records at risk, plus an estimated financial loss of $26,000,000.

In response, and stakeholders are being briefed through Breach notifications to affected customers.

The case underscores how Settled, teams are taking away lessons such as Failure to implement adequate security measures can lead to significant financial and reputational damage, and recommending next steps like Implement stronger security measures to protect customer data and prevent future breaches, with advisories going out to stakeholders covering Breach notifications sent to affected customers with compensation options.

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.