Ingram Micro Breach Incident Score: Analysis & Impact (ING1769038099)

In this Rankiteo incident briefing, we review the Ingram Micro breach identified under incident ID ING1769038099.

The analysis begins with a detailed overview of Ingram Micro's information like the linkedin page: https://www.linkedin.com/company/ingram-micro, the number of followers: 583296, the industry type: IT Services and IT Consulting and the number of employees: 28560 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 100 and after the incident was 100 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 Ingram Micro and their customers.

On 21 January 2026, Ingram Micro Inc. disclosed Data Breach issues under the banner "Ingram Micro Data Breach Exposes PII of 42,000 Individuals".

On January 21, 2026, Ingram Micro Inc., a global technology distributor, disclosed a cybersecurity incident that compromised the personal data of approximately 42,000 individuals.

The disruption is felt across the environment, and exposing Personally identifiable information (PII), including names, contact details, dates of birth, government-issued IDs (Social Security, driver’s license, passport numbers), and employment-related records, with nearly 42,000 records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing.

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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating an unauthorized actor accessed the company’s network and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating no details on methods used by the attacker. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating unauthorized access to network suggests credential compromise and OS Credential Dumping (T1003) with lower confidence (40%), supported by evidence indicating government-issued IDs and employment records compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating pII including names, contact details, government-issued IDs compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating employment-related records like work evaluations compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 42,000 individuals PII potentially acquired by unauthorized actor and Transfer Data to Cloud Account (T1537) with lower confidence (30%), supported by evidence indicating no details on exfiltration method provided. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (20%), supported by evidence indicating no evidence of data destruction, but PII was compromised and Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating potential identity theft and fraud risks for affected individuals. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.