Incident Score: Analysis & Impact (LOT1785500929)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Lotte Card'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 Lotte Card 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 Lotte Card breach identified under incident ID LOT1785500929.
The analysis begins with a detailed overview of Lotte Card's information like the linkedin page: https://www.linkedin.com/company/lotte-card, the number of followers: 0, the industry type: Financial Services and the number of employees: 121 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 724 and after the incident was 601 with a difference of -123 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 Lotte Card and their customers.
Lotte Card Co. recently reported "Lotte Card Data Breach and Regulatory Penalties", a noteworthy cybersecurity incident.
Lotte Card Co., South Korea’s fifth-largest credit card issuer, faced a six-week suspension on new card issuance and a 5 billion won ($3.4 million) fine after a data breach exposed the personal information of 2.97 million customers.
The disruption is felt across the environment, and exposing Personal information of 2.97 million customers, with nearly 2.97 million records at risk, plus an estimated financial loss of 5 billion won ($3.4 million) fine.
Formal response steps have not been shared publicly yet.
Overall, the incident is a reminder of why proactive monitoring and strong governance matter.
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 moderate confidence (60%), supported by evidence indicating data breach exposed the personal information of 2.97 million customers and Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating hacker-driven data leak marking a significant escalation in regulatory enforcement. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating personal information of 2.97 million customers exposed and Brute Force (T1110) with lower confidence (40%), supported by evidence indicating no details on attack vector, but financial sector often targeted. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal information of 2.97 million customers compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach exposed the personal information of 2.97 million customers and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on exfiltration method, but large-scale breach implies data transfer. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on data destruction, but breach implies potential impact and Defacement (T1491) with lower confidence (20%), supported by evidence indicating no evidence of defacement, but included due to regulatory penalties. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Lotte Card Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/lotte-card/incident/LOT1785500929
- Lotte Card CyberSecurity Rating page: https://www.rankiteo.com/company/lotte-card
- Lotte Card Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/lot1785500929-lotte-card-co-breach-june-2026/
- Lotte Card CyberSecurity Score History: https://www.rankiteo.com/company/lotte-card/history
- Lotte Card CyberSecurity Incident Source: https://www.kedglobal.com/regulations/newsView/ked202607310008
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf