Garden of Life Breach Incident Score: Analysis & Impact (GAR2604126112125)

In this Rankiteo incident briefing, we review the Garden of Life breach identified under incident ID GAR2604126112125.

The analysis begins with a detailed overview of Garden of Life's information like the linkedin page: https://www.linkedin.com/company/garden-of-life, the number of followers: 23161, the industry type: Retail and the number of employees: 480 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 706 and after the incident was 648 with a difference of -58 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 Garden of Life and their customers.

Garden of Life LLC recently reported "Garden of Life LLC Data Breach (2024)", a noteworthy cybersecurity incident.

Garden of Life LLC, a nutrition and supplements company, experienced a data breach in December 2024 that exposed online customers' credit card and personal information.

The disruption is felt across the environment, and exposing credit card information and personal information.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (legal proceedings; breach details undisclosed).

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 (85%), with evidence including e-commerce platforms handling financial data, where unauthorized access can lead to fraudulent transactions, and exposed online customers credit card and personal information and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized access (implies possible abuse of valid credentials or session hijacking). Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (75%), supported by evidence indicating credit card and personal information exposed (suggests scraping or database access). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including accessed sensitive payment and identity details, and credit card information, personal information compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (80%), with evidence including data exfiltration such as Likely (accessed by criminals), and exposed data—primarily financial—suggests a targeted attack on payment systems. Under the Impact tactic, the analysis identified Data Manipulation (T1632) with moderate confidence (65%), supported by evidence indicating fraudulent transactions or identity theft risk implied by breach. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.