Office of the New York State Attorney General Breach Incident Score: Analysis & Impact (OFF3532135111525)

In this Rankiteo incident briefing, we review the Office of the New York State Attorney General breach identified under incident ID OFF3532135111525.

The analysis begins with a detailed overview of Office of the New York State Attorney General's information like the linkedin page: https://www.linkedin.com/company/office-of-the-attorney-general-of-the-state-of-new-york, the number of followers: 17310, the industry type: Law Enforcement and the number of employees: 1605 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 766 and after the incident was 692 with a difference of -74 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 Office of the New York State Attorney General and their customers.

On 14 November 2025, State Attorney General’s Office disclosed Data Breach / Unauthorized Access issues under the banner "Data Security Incident at State Attorney General’s Office".

A cybersecurity incident detected on Aug.

The disruption is felt across the environment, and exposing names, Social Security numbers and medical information.

In response, teams activated the incident response plan, and began remediation that includes Security measures implemented to prevent future incidents, while recovery efforts such as Identity protection services offered to affected individuals continue, and stakeholders are being briefed through Emailed notices sent to affected individuals (Nov. 14, 2025); public advisory issued with protective guidance.

The case underscores how Ongoing (cooperation with FBI), and recommending next steps like Monitor financial accounts for suspicious activity (e.g., unauthorized transactions, new accounts), Request free annual credit reports from TransUnion, Experian, and Equifax via www.annualcreditreport.com or 1-877-322-8228 and Follow FTC guidelines to protect against identity theft (www.ftc.gov), with advisories going out to stakeholders covering Public statement issued with protective guidance for 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.

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 cybersecurity incident involving unauthorized access to files containing personal data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating vulnerabilities in handling personally identifiable information (PII). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating unauthorized access to files containing personal data, including names, SSNs, and medical info. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating potential unauthorized access to personal information (implied data transfer). Under the Impact tactic, the analysis identified Data from Information Repositories (T1598) with high confidence (95%), with evidence including exposure of sensitive information such as SSNs, medical data, and identity theft risk such as High. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.