Ingram Micro Breach Incident Score: Analysis & Impact (ING1769002251)

In this Rankiteo incident briefing, we review the Ingram Micro breach identified under incident ID ING1769002251.

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 793 and after the incident was 734 with a difference of -59 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.

Ingram Micro recently reported "Ingram Micro Data Breach Exposes Sensitive Information of Over 40,000 Individuals", a noteworthy cybersecurity incident.

U.S.-based IT distributor Ingram Micro disclosed a data security incident from last year that compromised the personal information of more than 40,000 individuals.

The disruption is felt across the environment, and exposing Personal information of over 40,000 individuals, with nearly 40,000+ records at risk.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 confidence (50%), with evidence including attack vector remain undisclosed, and iT distributor serves businesses globally, Trusted Relationship (T1199) with lower confidence (40%), supported by evidence indicating potential impact on downstream partners and customers, and Phishing: Spearphishing Attachment (T1566.001) with lower confidence (30%), supported by evidence indicating no details on attack vector or origin. Under the Credential Access tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating compromised the personal information of more than 40,000 individuals and Unsecured Credentials: Credentials In Files (T1552.001) with lower confidence (40%), supported by evidence indicating sensitive data exposed, type of information affected undisclosed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating personal information of over 40,000 individuals compromised and Data from Information Repositories (T1213) with moderate confidence (60%), supported by evidence indicating iT distributor with global customer data exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach impacting over 40,000 individuals and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on data exfiltration method. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no forensic details released about the breach and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating sensitive data exposed, potential downstream impact. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.