Blue Yonder Breach Incident Score: Analysis & Impact (BLU0632106112125)

In this Rankiteo incident briefing, we review the Blue Yonder breach identified under incident ID BLU0632106112125.

The analysis begins with a detailed overview of Blue Yonder's information like the linkedin page: https://www.linkedin.com/company/blueyonder, the number of followers: 328640, the industry type: Software Development and the number of employees: 7595 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 777 and after the incident was 679 with a difference of -98 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 Blue Yonder and their customers.

On 01 November 2025, Muji disclosed ransomware, phishing and supply chain attack issues under the banner "2025 Holiday Shopping Season Cyber Threats and Ransomware Trends in Retail".

The holiday shopping season (Black Friday, Cyber Monday) in 2025 saw a significant rise in cyber threats targeting the retail sector.

The disruption is felt across the environment, affecting e-commerce platforms, logistics/fulfillment systems and supply chain software (e.g., Blue Yonder).

Formal response steps have not been shared publicly yet.

The case underscores how ongoing (trend analysis), teams are taking away lessons such as Retailers must secure their digital supply chain, as a single weak link (e.g., logistics partner or software provider) can disrupt operations, Peak shopping seasons (Black Friday, Cyber Monday) are high-risk periods due to overwhelmed IT teams, high transaction volumes, and operational urgency and Phishing and automated bots (credential stuffing, API exploitation) are dominant attack vectors during holidays, and recommending next steps like Shift from reactive to preemptive defense strategies to prevent attacks before execution, Implement advanced endpoint protection and deception technologies and Ensure comprehensive visibility across all digital touchpoints, including supply chain partners.

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 Phishing: Spearphishing Link (T1566.002) with high confidence (95%), with evidence including phishing (holiday-themed emails), and phishing surges (up 692% in 2024), Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), with evidence including credential harvesting, credential stuffing via bots, and exploitation of unknown security gaps, Exploit Public-Facing Application (T1190) with moderate to high confidence (85%), supported by evidence indicating exploitation of unknown security gaps (misconfigurations, vulnerabilities), and Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with high confidence (95%), with evidence including supply chain compromise, weak supply chain links (e.g., Blue Yonder), and third-party vendor compromises. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: PowerShell (T1059.001) with moderate to high confidence (70%), with evidence including automated bots (for credential stuffing, API exploitation), and ransomware attack and Command and Scripting Interpreter: Windows Command Shell (T1059.003) with moderate to high confidence (70%), supported by evidence indicating automated bots, lateral movement. Under the Persistence tactic, the analysis identified Account Manipulation: Additional Cloud Credentials (T1098.001) with moderate to high confidence (80%), supported by evidence indicating credential harvesting, lateral movement. Under the Privilege Escalation tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (85%), supported by evidence indicating credential harvesting, lateral movement and Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating exploitation of unknown security gaps (misconfigurations, vulnerabilities). Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with moderate to high confidence (75%), supported by evidence indicating ransomware attack (typical post-encryption cleanup) and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating ransomware attack (common tactic to disable security tools). Under the Credential Access tactic, the analysis identified Credentials from Password Stores: Credentials from Web Browsers (T1555.003) with high confidence (90%), supported by evidence indicating credential harvesting, credential stuffing via bots, Brute Force: Password Guessing (T1110.001) with moderate to high confidence (85%), supported by evidence indicating automated bots (for credential stuffing), and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating misconfigurations (implied unsecured credential storage). Under the Discovery tactic, the analysis identified System Information Discovery (T1082) with moderate to high confidence (75%), with evidence including reconnaissance period such as likely months, and lateral movement and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating ransomware attack (pre-encryption reconnaissance). Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (80%), with evidence including lateral movement, and supply chain compromise, Remote Services: SSH (T1021.004) with moderate to high confidence (75%), supported by evidence indicating lateral movement (common in cloud/supply chain environments), and Use Alternate Authentication Material: Web Session Cookie (T1550.003) with moderate to high confidence (80%), supported by evidence indicating credential harvesting, API exploitation. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including data exfiltration for dark web sales, and likely (exfiltrated credentials, PII, or payment data) and Automated Collection (T1119) with moderate to high confidence (85%), supported by evidence indicating automated bots (for credential stuffing, API exploitation). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including data exfiltration for dark web sales, and data sold on dark web such as likely and Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (75%), supported by evidence indicating aPI exploitation (potential exfiltration vector). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (100%), supported by evidence indicating ransomware attack, data encryption such as yes, Service Stop (T1489) with high confidence (95%), supported by evidence indicating disruption for Starbucks, Sainsbury’s, Morrisons, online sales suspension, and Defacement: Internal Defacement (T1491.001) with moderate to high confidence (70%), supported by evidence indicating ransomware attack (common ransom notes/defacement). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.