Veriff Breach Incident Score: Analysis & Impact (VERTOT1768240241)

In this Rankiteo incident briefing, we review the Veriff breach identified under incident ID VERTOT1768240241.

The analysis begins with a detailed overview of Veriff's information like the linkedin page: https://www.linkedin.com/company/veriff, the number of followers: 44406, the industry type: Software Development and the number of employees: 507 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 756 and after the incident was 677 with a difference of -79 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 Veriff and their customers.

On 10 December 2025, Total Wireless disclosed Data Breach issues under the banner "Total Wireless Customer Data Breach via Third-Party Provider Veriff".

A data breach compromised the personal information of 8,583 Total Wireless customers due to a compromise of its third-party identity verification provider, Veriff.

The disruption is felt across the environment, affecting Third-party identity verification provider (Veriff), and exposing Personal information including government-issued ID images, postal addresses, and dates of birth, with nearly 8,583 records at risk.

In response, moved swiftly to contain the threat with measures like Veriff secured its systems, and began remediation that includes Investigation of root cause and mitigation efforts, and stakeholders are being briefed through Disclosure letters sent to affected customers, offering credit monitoring services.

The case underscores how Ongoing, and recommending next steps like Customers advised to remain vigilant, review credit reports, and report suspicious activity, with advisories going out to stakeholders covering Affected customers offered one-year subscription to Experian IdentityWorks (credit monitoring, identity restoration, fraud detection).

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 Supply Chain Compromise (T1195) with high confidence (90%), with evidence including third-Party Compromise via Veriff, and stemming from a compromise at Veriff. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating images of government-issued IDs submitted by users. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating images of government-issued IDs, postal addresses, dates of birth and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating third-party identity verification provider (Veriff). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating data breach impacting 8,583 Total Wireless customers and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no evidence of public data leaks, but unauthorized access occurred. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating attack’s nature and perpetrators remain unidentified and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating identity theft risk such as High for affected customers. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.