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Gap Inc. Breach Incident Score: Analysis & Impact (GAP1764815006)

The Rankiteo video explains how the company Gap Inc. has been impacted by a Breach on the date December 03, 2025.

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Incident Summary

Rankiteo Incident Impact
0
Company Score Before Incident
799 / 1000
Company Score After Incident
799 / 1000
Company Link
Incident ID
GAP1764815006
Type of Cyber Incident
Breach
Primary Vector
NA
Data Exposed
Name, Social Security number, Driverโ€™s license/state ID number, Medical information, Health insurance information
First Detected by Rankiteo
December 03, 2025
Last Updated Score

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Key Highlights From This Incident Analysis

  • Timeline of Gap 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 Rankiteoโ€™s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Gap Inc. Rankiteo cyber scoring and cyber rating.
  • Rankiteoโ€™s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
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Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Gap Inc. breach identified under incident ID GAP1764815006.

The analysis begins with a detailed overview of Gap Inc.'s information like the linkedin page: https://www.linkedin.com/company/gap-inc--gap, the number of followers: 518604, the industry type: Retail and the number of employees: 68676 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 799 and after the incident was 799 with a difference of 0 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 Gap Inc. and their customers.

On 28 November 2025, Gap Inc. disclosed Data Breach and Unauthorized Access issues under the banner "Gap Data Breach Involving Sensitive Personal and Health Information".

Gap reported a data breach to the Attorney General of Vermont, where sensitive personal identifiable information (PII) and protected health information (PHI) may have been compromised.

The disruption is felt across the environment, and exposing Name, Social Security number and Driverโ€™s license/state ID number.

In response, teams activated the incident response plan, and stakeholders are being briefed through Notification letters mailed to affected individuals on 2025-11-28, offering complimentary credit monitoring services.

The case underscores how Completed (as of November 2025), with advisories going out to stakeholders covering Notification letters sent to affected individuals with details of compromised data and credit monitoring offers.

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 Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating network disruption triggered investigation, no specific vector but implies external compromise and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized access to systems (could involve stolen/abused credentials). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating sensitive personal information in its systems may have been accessed or acquired (PII/PHI). Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (85%), supported by evidence indicating accessed or acquired by an unauthorized third party (implies data transfer out) and Automated Exfiltration (T1020) with moderate to high confidence (70%), supported by evidence indicating large-scale PII/PHI exposure suggests automated collection/exfiltration. Under the Impact tactic, the analysis identified Data from Information Repositories (T1598) with high confidence (90%), supported by evidence indicating compromise of names, SSNs, driverโ€™s license numbers, medical/health insurance info and Data Destruction (T1485) with lower confidence (10%), supported by evidence indicating no explicit destruction mentioned, but network disruption could imply partial impact. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating network disruption may indicate tampering with security controls. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with lower confidence (40%), supported by evidence indicating unauthorized system access *could* involve credential theft (no direct evidence). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

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