Hyundai AutoEver America Breach Incident Score: Analysis & Impact (HYU1302713111425)
The Rankiteo video explains how the company Hyundai AutoEver America has been impacted by a Breach on the date November 13, 2025.
Incident Summary
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Key Highlights From This Incident Analysis
- Timeline of Hyundai AutoEver America'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 Rankiteoโs incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts Hyundai AutoEver America Rankiteo cyber scoring and cyber rating.
- Rankiteoโs MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the Hyundai AutoEver America breach identified under incident ID HYU1302713111425.
The analysis begins with a detailed overview of Hyundai AutoEver America's information like the linkedin page: https://www.linkedin.com/company/hyundai-autoever-america, the number of followers: 75117, the industry type: IT Services and IT Consulting and the number of employees: 663 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 329 and after the incident was 236 with a difference of -93 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 Hyundai AutoEver America and their customers.
Hyundai AutoEver America LLC (HAEA) recently reported "Hyundai AutoEver America LLC Data Breach", a noteworthy cybersecurity incident.
Hyundai AutoEver America LLC (HAEA) was sued in federal court over an alleged data breach that exposed sensitive personal information, including Social Security numbers and driverโs license numbers, of approximately 2.7 million people.
The disruption is felt across the environment, affecting vehicle telematics, over-the-air software updates and autonomous driving systems, and exposing Social Security numbers, driverโs license numbers and sensitive personal information, with nearly 2.7 million records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing (lawsuit in progress).
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 Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to HAEAโs network (method undisclosed, but implies credential misuse) and Phishing: Spearphishing Link (T1566.002) with moderate confidence (50%), supported by evidence indicating attack vector undisclosed, but phishing is a common initial access method for data breaches. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating compromised data included Social Security numbers and driverโs license numbers of 2.7M individuals. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with high confidence (90%), supported by evidence indicating data exfiltration such as Likely (based on lawsuit allegations) (implies transfer of 2.7M records). Under the Impact tactic, the analysis identified Data from Cloud Storage Object: Personal Identifiable Information (T1598.003) with high confidence (95%), supported by evidence indicating exposure of SSNs, driverโs license numbers (high-risk PII for identity theft) and Data Destruction: Local Data Destruction (T1485.001) with lower confidence (30%), supported by evidence indicating no explicit destruction mentioned, but breach severity suggests potential data manipulation. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating unauthorized access to HAEAโs network (implies possible credential theft if Valid Accounts (T1078) was used). Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with lower confidence (40%), supported by evidence indicating no direct evidence, but common in breaches to evade detection after exfiltration and Impair Defenses: Disable or Modify Tools (T1562.001) with lower confidence (30%), supported by evidence indicating no explicit evidence, but implied by sustained unauthorized access. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources
- Hyundai AutoEver America Rankiteo Cyber Incident Details: http://www.rankiteo.com/company/hyundai-autoever-america/incident/HYU1302713111425
- Hyundai AutoEver America CyberSecurity Rating page: https://www.rankiteo.com/company/hyundai-autoever-america
- Hyundai AutoEver America Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/hyu1302713111425-hyundai-autoever-america-llc-haea-breach-november-2025/
- Hyundai AutoEver America CyberSecurity Score History: https://www.rankiteo.com/company/hyundai-autoever-america/history
- Hyundai AutoEver America CyberSecurity Incident Source: https://news.bloomberglaw.com/business-and-practice/hyundai-america-unit-sued-over-data-breach-affecting-2-7-million
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/static/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf





