Blue Yonder Breach Incident Score: Analysis & Impact (BLU4532945112125)

In this Rankiteo incident briefing, we review the Blue Yonder breach identified under incident ID BLU4532945112125.

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 583 and after the incident was 399 with a difference of -184 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 29 November 2025, Askul disclosed ransomware, phishing and credential stuffing issues under the banner "2025 Holiday Season Cyberattacks on Retailers: Ransomware and Phishing Surge".

As global Black Friday and Cyber Monday shopping intensifies, cybercriminals are ramping up attacks against retailers during the 2025 holiday season.

The disruption is felt across the environment, affecting payment systems, online sales platforms and logistics and fulfillment systems.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (multiple incidents reported across retail sector), teams are taking away lessons such as Traditional reactive defenses are insufficient against modern ransomware campaigns, which can disrupt operations within minutes. Preemptive, layered defense strategies (e.g., Automated Moving Target Defense, deception technology) are critical for protecting revenue and ensuring operational continuity during high-traffic periods like holiday shopping seasons, and recommending next steps like Implement Automated Moving Target Defense (AMTD) to dynamically morph memory structures and thwart zero-day/fileless malware, Deploy deception technology (digital decoys) for early detection of malicious activity without disrupting operations and Strengthen cyber hygiene to address 'unknown security gaps' (misconfigurations, overlooked vulnerabilities, network blind spots).

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 692% surge in holiday-themed phishing emails, Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating credential-stuffing bots to compromise systems via digital supply chain, and Exploit Public-Facing Application (T1190) with moderate to high confidence (85%), supported by evidence indicating exploited vulnerabilities in its digital supply chain, overlooked software vulnerabilities. Under the Credential Access tactic, the analysis identified Brute Force: Credential Stuffing (T1110.004) with high confidence (100%), with evidence including credential-stuffing bots, and automation-driven attacks (e.g., credential stuffing). Under the Defense Evasion tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating blend malicious activity with legitimate transaction spikes via compromised credentials, Obfuscated Files or Information: Compile After Delivery (T1027.004) with moderate to high confidence (70%), supported by evidence indicating fast-moving ransomware attacks evading detection until significant damage was done, and Hide Artifacts: API Abuse (T1564.008) with moderate to high confidence (85%), supported by evidence indicating aPI abuse scripts to evade detection by blending with legitimate transaction spikes. Under the Lateral Movement tactic, the analysis identified Remote Services: SSH (T1021.004) with moderate to high confidence (75%), supported by evidence indicating cascading outages across logistics, inventory management, and in-store processes and Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (70%), supported by evidence indicating disruption of payment systems, logistics, and point-of-sale devices across multiple countries. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (100%), supported by evidence indicating ransomware demands in the retail sector surging to $2 million, data encryption such as true, Endpoint Denial of Service: Application Exhaustion Flood (T1499.002) with moderate to high confidence (80%), supported by evidence indicating halted payment systems, delayed shipments, and store closures during peak sales, and Data Destruction (T1485) with moderate confidence (60%), supported by evidence indicating operational paralysis and reputational harm aligned with high-severity threats. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data theft listed as motivation; API abuse could facilitate exfiltration under transaction spikes. Under the Persistence tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (85%), supported by evidence indicating long-term access via credential-stuffing bots and compromised systems. Under the Command and Control tactic, the analysis identified Ingress Tool Transfer (T1105) with moderate to high confidence (75%), supported by evidence indicating automation-driven attacks and credential-stuffing bots suggest tool deployment post-compromise and Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating aPI abuse scripts likely used for C2 over standard web traffic. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.