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Analyze » Office of the New York State Attorney General » POLOFF1780411166

Incident Score: Analysis & Impact (POLOFF1780411166)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-68
Company Score Before Incident704 / 1000
Company Score After Incident636 / 1000
Company LinkView Office of the New York State Attorney General Profile
INCIDENT NUMBERPOLOFF1780411166
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal data of government...
INCIDENT DATE24/05/2026
STATUSActive

Key Highlights From The Incident Analysis

  • Timeline of Office of the New York State Attorney General'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 Office of the New York State Attorney General 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 Office of the New York State Attorney General breach identified under incident ID POLOFF1780411166.

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: 19370, the industry type: Law Enforcement and the number of employees: 1686 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 704 and after the incident was 636 with a difference of -68 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.

National Police recently reported "Spanish Police Arrest Hacker Linked to Massive Government Data Leak", a noteworthy cybersecurity incident.

Spanish authorities have detained a hacker in Granada suspected of leaking sensitive personal data belonging to officials from key government institutions.

The disruption is felt across the environment, and exposing Sensitive personal data of government officials.

In response, moved swiftly to contain the threat with measures like Arrest of suspect, seizure of computer equipment and electronic devices.

The case underscores how Active.

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 sensitive personal data belonging to officials from key government institutions and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating no details on attack vector, but government systems may have been targeted. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating leaked sensitive personal data...tied to members of the National Police, Civil Guard and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating personal data of government officials compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating sensitive personal data belonging to officials...leaked and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating data tied to members of the National Police, Civil Guard, Attorney General’s Office. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating leaked data...posted across multiple online platforms and Exfiltration Over Web Service (T1567) with moderate to high confidence (80%), supported by evidence indicating data...posted across multiple online platforms. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating risks including harassment, threats, extortion, and targeted attacks and Disk Wipe (T1561) with lower confidence (30%), supported by evidence indicating no details on malware or data destruction methods. Under the Defense Evasion tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate confidence (60%), supported by evidence indicating government systems may have been compromised via valid accounts and Hide Artifacts (T1564) with moderate confidence (50%), supported by evidence indicating no details on how data was initially accessed or exfiltrated. 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 (60%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (70%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Web Service (80%)
Impact
Data Destruction (40%)
Disk Wipe (30%)
Defense Evasion
Valid Accounts: Cloud Accounts (60%)
Hide Artifacts (50%)

Sources & References