WEL Companies, Inc Breach Incident Score: Analysis & Impact (WEL5662456112125)

In this Rankiteo incident briefing, we review the WEL Companies, Inc breach identified under incident ID WEL5662456112125.

The analysis begins with a detailed overview of WEL Companies, Inc's information like the linkedin page: https://www.linkedin.com/company/wel-companies-wisconsin-express-lines-, the number of followers: 4388, the industry type: Truck Transportation and the number of employees: 441 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 751 and after the incident was 668 with a difference of -83 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 WEL Companies, Inc and their customers.

On 20 November 2025, WEL Companies, Inc. disclosed Data Breach issues under the banner "WEL Companies, Inc. Data Breach".

WEL Companies, Inc.

The disruption is felt across the environment, and exposing Names, Social Security numbers and Driver’s license numbers, with nearly 122,960 records at risk.

In response, teams activated the incident response plan, and stakeholders are being briefed through Public disclosure via press release (2025-11-20); potential notifications to affected individuals.

The case underscores how Ongoing (class action investigation by Edelson Lechtzin LLP), and recommending next steps like Monitor account statements and credit reports for suspicious activity and Take steps to protect against identity theft and fraud, with advisories going out to stakeholders covering Potential data breach notifications to affected individuals (recommended to monitor credit and accounts).

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 Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating unusual network activity detected; no specific vector but implies external compromise and Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating unauthorized third party accessed data—possible misuse of legitimate credentials. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating accessed or acquiredPII such as SSNs, driver’s license numbers, national IDs (122,960 records). Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (70%), supported by evidence indicating unauthorized third party... acquired certain personal data implies data transfer out. Under the Impact tactic, the analysis identified Data from Cloud Storage Object (T1598) with moderate confidence (50%), supported by evidence indicating no cloud-specific details, but large-scale PII exposure suggests centralized data repository access and Data Destruction (T1485) with lower confidence (10%), supported by evidence indicating no explicit destruction mentioned, but high-severity breach (85) suggests potential follow-on impact. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with lower confidence (40%), supported by evidence indicating no direct evidence, but PII exposure (SSNs/IDs) could enable credential stuffing/identity theft. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.