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Analyze » IDMERIT » IDM1772052223

Incident Score: Analysis & Impact (IDM1772052223)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-191
Company Score Before Incident749 / 1000
Company Score After Incident558 / 1000
INCIDENT NUMBERIDM1772052223
Type of Cyber IncidentBreach
ATTACK VECTORUnsecured Database
DATA EXPOSED1 billion records
INCIDENT DATE10/11/2025
STATUSContained, no evidence of threat actor access

Key Highlights From The Incident Analysis

  • Timeline of IDMERIT'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 IDMERIT 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 IDMERIT breach identified under incident ID IDM1772052223.

The analysis begins with a detailed overview of IDMERIT's information like the linkedin page: https://www.linkedin.com/company/idmerit, the number of followers: 4177, the industry type: IT Services and IT Consulting and the number of employees: 26 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 749 and after the incident was 558 with a difference of -191 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 IDMERIT and their customers.

On 11 November 2025, IDMerit disclosed Data Exposure issues under the banner "Massive IDMerit Database Exposure Leaves 1 Billion Records Unsecured".

Cybernews researchers uncovered a publicly accessible database containing nearly 1 billion records from 26 countries, linked to IDMerit, an AI-powered digital identity verification provider.

The disruption is felt across the environment, affecting IDMerit database, and exposing 1 billion records, with nearly 1 billion records at risk.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Database secured shortly after discovery.

The case underscores how Contained, no evidence of threat actor access, teams are taking away lessons such as The incident underscores the risks of improperly secured databases, particularly for companies handling sensitive verification data.

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 Exploit Public-Facing Application (T1190) with lower confidence (30%), supported by evidence indicating publicly accessible database containing nearly 1 billion records and Exploitation of Remote Services (T1210) with lower confidence (40%), supported by evidence indicating unsecured data was discovered on November 11, 2025. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials in Cloud Storage (T1552.006) with high confidence (90%), supported by evidence indicating publicly accessible database...exposed records included PII like national ID numbers. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating exposed records included full names, addresses, DOB, phone numbers, emails and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating database linked to IDMerit, an AI-powered digital identity verification provider. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating publicly accessible database...no evidence that threat actors accessed and Exfiltration Over C2 Channel (T1041) with lower confidence (30%), supported by evidence indicating no evidence of threat actor access to the information. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating highly sensitive PII...vulnerable to abuse like identity theft and Defacement: Internal Defacement (T1491.001) with lower confidence (20%), supported by evidence indicating improperly secured databases...long-term implications for affected individuals. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (30%)
Exploitation of Remote Services (40%)
Credential Access
Unsecured Credentials: Credentials in Cloud Storage (90%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Transfer Data to Cloud Account (50%)
Exfiltration Over C2 Channel (30%)
Impact
Data Manipulation: Stored Data Manipulation (40%)
Defacement: Internal Defacement (20%)

Sources & References