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Analyze » GAMESTOP INC » GAM1788546490

Incident Score: Analysis & Impact (GAM1788546490)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-145
Company Score Before Incident771 / 1000
Company Score After Incident626 / 1000
INCIDENT NUMBERGAM1788546490
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDOver 150 million U.S. and...
INCIDENT DATE31/08/2026
STATUSOngoing (FBI investigation)

Key Highlights From The Incident Analysis

  • Timeline of GAMESTOP INC'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 GAMESTOP INC 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 GAMESTOP INC breach identified under incident ID GAM1788546490.

The analysis begins with a detailed overview of GAMESTOP INC's information like the linkedin page: https://www.linkedin.com/company/gamestop-inc, the number of followers: 337, the industry type: Retail and the number of employees: 90 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 771 and after the incident was 626 with a difference of -145 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 GAMESTOP INC and their customers.

New Orleans-based identity verification firm (unnamed) recently reported "New Orleans-Based Identity Verification Firm Linked to Massive Driver’s License Data Breach", a noteworthy cybersecurity incident.

A New Orleans tech company specializing in identity verification has come under FBI scrutiny following reports that data from over 150 million U.S.

The disruption is felt across the environment, and exposing Over 150 million U.S. and Canadian driver’s licenses, with nearly Over 150 million records at risk.

In response, and stakeholders are being briefed through Acknowledged reports as part of internal review via spokesperson Jillian Kossman.

The case underscores how Ongoing (FBI investigation).

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 identity verification firm processes 22 million scans monthly and Trusted Relationship (T1199) with moderate to high confidence (70%), supported by evidence indicating serves nearly 4,000 customers, including major brands. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating driver’s license data exposed for sale on the dark web and Unsecured Credentials: Container API (T1552.007) with moderate confidence (50%), supported by evidence indicating identity verification firm processes sensitive documents. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating over 150 million U.S. and Canadian driver’s licenses compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating firm specializes in identity verification for hospitality, finance. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating attackers may have been siphoning data from the firm’s systems and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data for sale on the dark web. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating massive driver’s license data breach and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate confidence (50%), supported by evidence indicating identity theft risk labeled as High. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Trusted Relationship (70%)
Credential Access
Unsecured Credentials: Credentials In Files (80%)
Unsecured Credentials: Container API (50%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (70%)
Impact
Data Destruction (40%)
Data Manipulation: Transmitted Data Manipulation (50%)