Incident Score: Analysis & Impact (LEDGLO1767622098)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Ledger'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 Ledger 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 Ledger breach identified under incident ID LEDGLO1767622098.
The analysis begins with a detailed overview of Ledger's information like the linkedin page: https://www.linkedin.com/company/ledgerhq, the number of followers: 87518, the industry type: Computer and Network Security and the number of employees: 777 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 587 and after the incident was 523 with a difference of -64 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 Ledger and their customers.
Ledger recently reported "Ledger Data Exposure via Third-Party Payment Processor Global-e", a noteworthy cybersecurity incident.
Ledger experienced a data exposure incident linked to its third-party payment processor, Global-e.
The disruption is felt across the environment, affecting Global-e's cloud system, and exposing Personal details (names, contact information).
In response, moved swiftly to contain the threat with measures like Swift implementation of controls, and stakeholders are being briefed through Email notification to affected customers.
The case underscores how Ongoing, and recommending next steps like Increased vigilance against third-party risks, enhanced monitoring of third-party systems, with advisories going out to stakeholders covering Ledger emphasized that the breach occurred at Global-e and urged vigilance.
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 Trusted Relationship (T1199) with high confidence (90%), supported by evidence indicating data exposure incident tied to its third-party payment processor, Global-e and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to Ledger users personal details stored in Global-e’s cloud system. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (60%), supported by evidence indicating unauthorized party accessed customer order data in Global-e’s cloud system. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names and contact information stored in Global-e’s cloud system were accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to customer order data in Global-e’s cloud system. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but unauthorized access occurred and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized access to cloud system containing order data from multiple retailers. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Ledger Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/ledgerhq/incident/LEDGLO1767622098
- Ledger CyberSecurity Rating page: https://www.rankiteo.com/company/ledgerhq
- Ledger Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ledglo1767622098-breach-january-2026/
- Ledger CyberSecurity Score History: https://www.rankiteo.com/company/ledgerhq/history
- Ledger CyberSecurity Incident Source: https://www.coindesk.com/markets/2026/01/05/crypto-wallet-firm-ledger-faces-data-breach-through-global-e-partner
- 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