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Analyze » Brown Advisory » BRO1772584327

Incident Score: Analysis & Impact (BRO1772584327)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-76
Company Score Before Incident760 / 1000
Company Score After Incident684 / 1000
INCIDENT NUMBERBRO1772584327
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonally identifiable information (PII), including...
INCIDENT DATE20/01/2026
STATUSCompleted (forensic investigation)

Key Highlights From The Incident Analysis

  • Timeline of Brown Advisory'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 Brown Advisory 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 Brown Advisory breach identified under incident ID BRO1772584327.

The analysis begins with a detailed overview of Brown Advisory's information like the linkedin page: https://www.linkedin.com/company/brown-advisory, the number of followers: 28391, the industry type: Financial Services and the number of employees: 1110 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 760 and after the incident was 684 with a difference of -76 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 Brown Advisory and their customers.

On 21 January 2026, Brown Advisory LLC disclosed Data Breach issues under the banner "Brown Advisory LLC Data Breach Affecting 134 Massachusetts Residents".

Maryland-based investment management firm Brown Advisory LLC disclosed a data breach involving unauthorized access to sensitive systems, exposing personally identifiable information (PII) of at least 134 individuals in Massachusetts.

The disruption is felt across the environment, and exposing Personally identifiable information (PII), including names, phone numbers, email and home addresses, Social Security numbers, driver’s license and passport images, and financial account numbers, with nearly 134+ records at risk.

In response, and began remediation that includes Offering 24 months of complimentary identity protection and credit monitoring through Experian IdentityWorks, and stakeholders are being briefed through Advising affected individuals to monitor account statements and credit reports for suspicious activity.

The case underscores how Completed (forensic investigation), with advisories going out to stakeholders covering Affected individuals advised to monitor account statements and credit reports for suspicious activity; enrollment in Experian IdentityWorks until June 30, 2026.

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 (70%), supported by evidence indicating unauthorized access to sensitive systems and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating no details on attack vector; public-facing systems possible. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating exposed PII includes financial account numbers and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating social Security numbers and passport images compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, phone numbers, email/home addresses, SSNs exposed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating pII likely stored in internal databases. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 134+ records exposed; data exfiltration implied and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating no details on exfil method; cloud storage possible. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no disruption to operations; destruction unlikely and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (20%), supported by evidence indicating no evidence of data manipulation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (70%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (60%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (40%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (20%)

Sources & References