TransUnion Breach Incident Score: Analysis & Impact (EXPEQUTRA1772490489)

In this Rankiteo incident briefing, we review the TransUnion breach identified under incident ID EXPEQUTRA1772490489.

The analysis begins with a detailed overview of TransUnion's information like the linkedin page: https://www.linkedin.com/company/transunion, the number of followers: 552281, the industry type: IT Services and IT Consulting and the number of employees: 16669 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 457 and after the incident was 365 with a difference of -92 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 TransUnion and their customers.

Maine residents recently reported "Maine Consumers Lose Over $33 Million to Fraud as Data Breaches Fuel Identity Theft Risks", a noteworthy cybersecurity incident.

During National Consumer Protection Week, cybersecurity experts highlighted the growing threat of identity theft after Maine residents lost more than $33 million to fraud in 2023.

The disruption is felt across the environment, and exposing Personal information, Social Security numbers, plus an estimated financial loss of $33 million (Maine residents in 2023).

In response, moved swiftly to contain the threat with measures like Credit freezes, E-Verify Self Lock, SSA Account Block, and stakeholders are being briefed through Public advisories during National Consumer Protection Week.

The case underscores how teams are taking away lessons such as Proactive measures like credit freezes and SSN protection tools (E-Verify Self Lock, SSA Account Block) are critical to mitigating identity theft risks, and recommending next steps like Freeze credit with Experian, Equifax, and TransUnion, Use E-Verify’s Self Lock to protect SSNs and Enable SSA Account Block for online access restrictions, with advisories going out to stakeholders covering Cybersecurity experts and fraud prevention advocates.

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 Compromise Accounts (T1586) with moderate confidence (60%), supported by evidence indicating data breaches exposing personal information including Social Security numbers and Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating credit bureaus Experian, Equifax, and TransUnion mentioned in breach context. Under the Credential Access tactic, the analysis identified Gather Victim Identity Information: Credentials (T1589.001) with moderate to high confidence (80%), supported by evidence indicating social Security numbers exposed in data breaches and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating personal information compromised via data breaches. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating personal information, Social Security numbers compromised and Data from Information Repositories (T1213) with moderate confidence (60%), supported by evidence indicating credit bureaus Experian, Equifax, and TransUnion data targeted. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breaches exposing sensitive personal information and Automated Exfiltration (T1020) with moderate confidence (50%), supported by evidence indicating $33 million lost to fraud suggests large-scale data misuse. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating identity theft risks leading to financial and reputational harm and Defacement: Internal Defacement (T1491.001) with lower confidence (30%), supported by evidence indicating reputational harm implied by identity theft risks. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.