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Analyze » Amazon Web Services (AWS) » AMASTA1775118743

Incident Score: Analysis & Impact (AMASTA1775118743)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-2
Company Score Before Incident617 / 1000
Company Score After Incident615 / 1000
INCIDENT NUMBERAMASTA1775118743
Type of Cyber IncidentVulnerability
ATTACK VECTORMisconfigured Amazon S3 bucket
DATA EXPOSED10GB of proprietary source code...
INCIDENT DATE01/04/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Amazon Web Services (AWS)'s Vulnerability 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 Amazon Web Services (AWS) 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 Amazon Web Services (AWS) breach identified under incident ID AMASTA1775118743.

The analysis begins with a detailed overview of Amazon Web Services (AWS)'s information like the linkedin page: https://www.linkedin.com/company/amazon-web-services, the number of followers: 10888264, the industry type: IT Services and IT Consulting and the number of employees: 148035 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 617 and after the incident was 615 with a difference of -2 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 Amazon Web Services (AWS) and their customers.

On 01 April 2026, Starbucks disclosed Data Breach, Extortion issues under the banner "ShadowByt3s Claims Major Starbucks Breach, Steals 10GB of Proprietary Code and Firmware".

The threat group ShadowByt3s has claimed responsibility for a cyberattack on Starbucks, allegedly exfiltrating 10GB of proprietary source code and operational firmware from a misconfigured Amazon S3 bucket named sbux-assets.

The disruption is felt across the environment, affecting Beverage dispenser firmware, Mastrena II espresso machine software and FreshBlends assets, and exposing 10GB of proprietary source code and operational firmware.

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.

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 Phishing (T1566) with moderate confidence (60%), supported by evidence indicating march 2026 phishing attack that exposed 889 employee accounts and Exploit Public-Facing Application (T1190) with high confidence (90%), supported by evidence indicating misconfigured Amazon S3 bucket named sbux-assets. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (50%), supported by evidence indicating phishing attack...exposed 889 employee accounts. Under the Collection tactic, the analysis identified Data from Cloud Storage (T1530) with high confidence (95%), supported by evidence indicating 10GB of proprietary source code and operational firmware from misconfigured S3 bucket and Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating stolen data includes beverage dispenser firmware, Mastrena II espresso machine software. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate to high confidence (80%), supported by evidence indicating allegedly exfiltrating 10GB of proprietary source code and operational firmware and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating shadowByt3s has set an extortion deadline, threatening to publicly release the data. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating extortion deadline set, ransom demands not specified and Defacement (T1491) with lower confidence (40%), supported by evidence indicating threatening to publicly release the full dataset. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating misconfigured Amazon S3 bucket exploited. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing (60%)
Exploit Public-Facing Application (90%)
Credential Access
Steal Application Access Token (50%)
Collection
Data from Cloud Storage (95%)
Data from Information Repositories (90%)
Exfiltration
Transfer Data to Cloud Account (80%)
Exfiltration Over C2 Channel (70%)
Impact
Data Encrypted for Impact (30%)
Defacement (40%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (50%)

Sources & References