Incident Score: Analysis & Impact (CSE1769023881)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of CSEA Local 1000'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 CSEA Local 1000 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 CSEA Local 1000 breach identified under incident ID CSE1769023881.
The analysis begins with a detailed overview of CSEA Local 1000's information like the linkedin page: https://www.linkedin.com/company/csea-local-1000, the number of followers: 932, the industry type: Public Policy Offices and the number of employees: 243 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 747 and after the incident was 688 with a difference of -59 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 CSEA Local 1000 and their customers.
On 20 January 2026, CSEA Local 1000 disclosed Data Breach issues under the banner "CSEA Local 1000 Data Breach".
CSEA Local 1000, a labor union representing public sector employees, disclosed a data breach that may have exposed sensitive personal information.
The disruption is felt across the environment, and exposing Names and Social Security numbers.
In response, and stakeholders are being briefed through Notification via mail to affected individuals.
The case underscores how Completed, with advisories going out to stakeholders covering Complimentary credit monitoring services offered to affected 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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized third party accessed and potentially acquired personal data and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating suspicious activity on its computer systems. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (50%), supported by evidence indicating unauthorized third party accessed...personal data including SSNs and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating social Security numbers compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names and Social Security numbers compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating potential acquisition by unauthorized third party. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized third party accessed and potentially acquired data and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating suspicious activity detected on computer systems. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- CSEA Local 1000 Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/csea-local-1000/incident/CSE1769023881
- CSEA Local 1000 CyberSecurity Rating page: https://www.rankiteo.com/company/csea-local-1000
- CSEA Local 1000 Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/cse1769023881-csea-local-1000-breach-may-2025/
- CSEA Local 1000 CyberSecurity Score History: https://www.rankiteo.com/company/csea-local-1000/history
- CSEA Local 1000 CyberSecurity Incident Source: https://straussborrelli.com/2026/01/21/csea-local-1000-data-breach-investigation/
- 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