Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Global-e » LEDGLO1767622098

Incident Score: Analysis & Impact (LEDGLO1767622098)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-65
Company Score Before Incident786 / 1000
Company Score After Incident721 / 1000
INCIDENT NUMBERLEDGLO1767622098
Type of Cyber IncidentBreach
ATTACK VECTORThird-party breach
DATA EXPOSEDPersonal details (names, contact information)
INCIDENT DATE04/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Global-e'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 Global-e 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 Global-e breach identified under incident ID LEDGLO1767622098.

The analysis begins with a detailed overview of Global-e's information like the linkedin page: https://www.linkedin.com/company/global-e, the number of followers: 57226, the industry type: Technology, Information and Internet and the number of employees: 1203 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 786 and after the incident was 721 with a difference of -65 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 Global-e 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 Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with high confidence (90%), supported by evidence indicating data exposure incident tied to its third-party payment processor, Global-e and Trusted Relationship (T1199) with moderate to high confidence (80%), supported by evidence indicating breach occurred at Global-e, not within its own systems. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (60%), supported by evidence indicating unauthorized access to Ledger users personal details stored 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 unauthorized access to customer order data in Global-e’s cloud system and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating cloud system contained order data from multiple retailers. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized party accessed customer order data. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on extent of breach or data manipulation and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating improper access to cloud system holding shopper order data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise: Compromise Software Supply Chain (90%)
Trusted Relationship (80%)
Credential Access
Steal Application Access Token (60%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References