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Analyze » Wildberries » WIL1786973096

Incident Score: Analysis & Impact (WIL1786973096)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-32
Company Score Before Incident780 / 1000
Company Score After Incident748 / 1000
INCIDENT NUMBERWIL1786973096
Type of Cyber IncidentCyber Attack
ATTACK VECTORCoordinated cyber and kinetic strikes
DATA EXPOSEDNA
INCIDENT DATE14/08/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Wildberries's Cyber Attack 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 Wildberries 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 Wildberries breach identified under incident ID WIL1786973096.

The analysis begins with a detailed overview of Wildberries's information like the linkedin page: https://www.linkedin.com/company/wildberrieswb, the number of followers: 24500, the industry type: Retail and the number of employees: 4993 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 780 and after the incident was 748 with a difference of -32 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 Wildberries and their customers.

Wildberries recently reported "Ukraine Disrupts Russia’s Largest Online Marketplace in Coordinated Cyberattack", a noteworthy cybersecurity incident.

Ukraine’s military intelligence (HUR) announced it successfully disrupted operations at Wildberries, Russia’s largest e-commerce platform, through a cyberattack designed to amplify the impact of recent drone strikes on the company’s infrastructure.

The disruption is felt across the environment, affecting customer service, contact centers and payment systems.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating targeted Wildberries’ customer service, contact centers, and payment systems and Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating coordinated with kinetic strikes, implying pre-existing access or intelligence. Under the Impact tactic, the analysis identified Service Stop (T1489) with high confidence (90%), supported by evidence indicating widespread disruptions to customer service, contact centers, and payment systems, Defacement (T1491) with lower confidence (40%), supported by evidence indicating numerous customer complaints including payment failures, and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating payment failures suggest possible manipulation of transaction data. Under the Defense Evasion tactic, the analysis identified Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate to high confidence (70%), supported by evidence indicating designed to amplify the impact of drone strikes on infrastructure and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating despite the platform’s reported strong security measures. Under the Command and Control tactic, the analysis identified Ingress Tool Transfer (T1105) with moderate confidence (50%), supported by evidence indicating coordinated cyber and kinetic strikes imply tooling or malware deployment. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Trusted Relationship (50%)
Impact
Service Stop (90%)
Defacement (40%)
Data Manipulation: Stored Data Manipulation (50%)
Defense Evasion
Endpoint Denial of Service: Application or System Exploitation (70%)
Impair Defenses: Disable or Modify Tools (60%)
Command and Control
Ingress Tool Transfer (50%)

Sources & References