Incident Score: Analysis & Impact (MOR1770638816)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of morele.net'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 morele.net 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 morele.net breach identified under incident ID MOR1770638816.
The analysis begins with a detailed overview of morele.net's information like the linkedin page: https://www.linkedin.com/company/morele-net, the number of followers: 5815, the industry type: Internet Marketplace Platforms and the number of employees: 308 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 732 and after the incident was 647 with a difference of -85 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 morele.net and their customers.
Morele.net recently reported "2018 Morele.net Data Breach", a noteworthy cybersecurity incident.
Polish cybercrime authorities arrested a 29-year-old hacker linked to the 2018 attack on Morele.net, a major Polish online electronics retailer.
The disruption is felt across the environment, and exposing Personal information of over 2 million users, with nearly 2,000,000 records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how Resolved.
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%), with evidence including major Polish online electronics retailer, and breach exposed personal information of over 2M users and External Remote Services (T1133) with moderate confidence (50%), with evidence including online electronics retailer, and attack vector not specified but likely remote access. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating hashed passwords were exposed in the breach. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, contact details, addresses, and hashed passwords compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating personal information of over 2 million users exposed and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating data breach scale suggests possible cloud exfiltration. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on data destruction, but breach scale implies impact and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating hashed passwords and personal data compromised. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- morele.net Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/morele-net/incident/MOR1770638816
- morele.net CyberSecurity Rating page: https://www.rankiteo.com/company/morele-net
- morele.net Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/mor1770638816-morelenet-breach-january-2026/
- morele.net CyberSecurity Score History: https://www.rankiteo.com/company/morele-net/history
- morele.net CyberSecurity Incident Source: https://www.aa.com.tr/en/europe/hacker-behind-one-of-poland-s-biggest-data-leaks-arrested-after-8-years/3824739
- 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