Incident Score: Analysis & Impact (STA1784543201)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Starbucks'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 Starbucks 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 Starbucks breach identified under incident ID STA1784543201.
The analysis begins with a detailed overview of Starbucks's information like the linkedin page: https://www.linkedin.com/company/starbucks, the number of followers: 3116587, the industry type: Retail and the number of employees: 185106 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 693 and after the incident was 648 with a difference of -45 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 Starbucks and their customers.
Starbucks recently reported "Starbucks Alleged Data Breach Claim", a noteworthy cybersecurity incident.
A threat actor operating under the handle *anes2010* has listed a claimed Starbucks database for sale on a cybercrime forum, alleging it contains 176 million unique user records reportedly extracted in June 2026.
The disruption is felt across the environment, and exposing 176 million unique user records, with nearly 176 million records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how Unconfirmed.
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 Valid Accounts (T1078) with moderate confidence (60%), with evidence including personal data...extracted in June 2026, and account metadata included in dataset and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating origin and full scope of the dataset remain unclear. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating password hashes included in the dataset and Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating password hashes (algorithm unknown) could allow offline cracking. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 176 million unique user records extracted and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating loyalty program details, account metadata compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating dataset listed for sale on a cybercrime forum and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating data sold on dark web alleged. Under the Impact tactic, the analysis identified Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating loyalty program details (balances, points) exposed and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating unverified claim; no confirmation of data integrity. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Starbucks Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/starbucks/incident/STA1784543201
- Starbucks CyberSecurity Rating page: https://www.rankiteo.com/company/starbucks
- Starbucks Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/sta1784543201-starbucks-breach-june-2026/
- Starbucks CyberSecurity Score History: https://www.rankiteo.com/company/starbucks/history
- Starbucks CyberSecurity Incident Source: https://cybersecuritynews.com/alleged-starbucks-data-breach/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf