Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » SEIU Benefit Funds » SEI1770331833

Incident Score: Analysis & Impact (SEI1770331833)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-66
Company Score Before Incident755 / 1000
Company Score After Incident689 / 1000
INCIDENT NUMBERSEI1770331833
Type of Cyber IncidentBreach
ATTACK VECTORCompromised Email Accounts
DATA EXPOSEDSensitive Personal Identifiable Information (PII)
INCIDENT DATE03/02/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of SEIU Benefit Funds'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 SEIU Benefit Funds 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 SEIU Benefit Funds breach identified under incident ID SEI1770331833.

The analysis begins with a detailed overview of SEIU Benefit Funds's information like the linkedin page: https://www.linkedin.com/company/seiu-benefit-funds, the number of followers: 116, the industry type: Insurance and Employee Benefit Funds and the number of employees: 16 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 755 and after the incident was 689 with a difference of -66 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 SEIU Benefit Funds and their customers.

On 27 March 2025, SEIU Funds disclosed Data Breach issues under the banner "SEIU Funds Data Breach Exposing Sensitive Personal Information".

SEIU Funds, a financial services organization, disclosed a data breach in which unauthorized access to sensitive personal identifiable information (PII) may have occurred.

The disruption is felt across the environment, affecting Email Accounts, and exposing Sensitive Personal Identifiable Information (PII).

In response, and began remediation that includes Review to identify affected individuals, complimentary credit monitoring services, and stakeholders are being briefed through Breach notice published on the organization’s website.

The case underscores how Ongoing, with advisories going out to stakeholders covering Details on specific data exposed to be provided to impacted individuals.

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 Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (80%), supported by evidence indicating suspicious activity was detected in certain email accounts and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating unauthorized third party accessed the compromised accounts. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating unauthorized access to sensitive personal identifiable information and Unsecured Credentials: Email Account Credentials (T1552.006) with moderate to high confidence (70%), supported by evidence indicating compromised accounts on March 4 and March 27, 2025. Under the Collection tactic, the analysis identified Email Collection: Remote Email Collection (T1114.002) with moderate to high confidence (80%), supported by evidence indicating exposed data includes names, SSNs, DOBs, and financial information and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating sensitive personal identifiable information (PII) may have occurred. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized third party accessed the compromised accounts and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating data breach exposing sensitive personal information. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating high sensitivity of exposed data (SSNs, financial info) and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating unauthorized access to email accounts containing PII. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing: Spearphishing Link (80%)
Valid Accounts: Cloud Accounts (70%)
Credential Access
Brute Force: Password Guessing (60%)
Unsecured Credentials: Email Account Credentials (70%)
Collection
Email Collection: Remote Email Collection (80%)
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (60%)
Impact
Data Destruction (40%)
Data Manipulation: Stored Data Manipulation (50%)

Sources & References