Incident Score: Analysis & Impact (OPE1767778930)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Openprovider'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 Openprovider 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 Openprovider breach identified under incident ID OPE1767778930.
The analysis begins with a detailed overview of Openprovider's information like the linkedin page: https://www.linkedin.com/company/openprovider, the number of followers: 8381, the industry type: Technology, Information and Internet and the number of employees: 90 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 766 and after the incident was 696 with a difference of -70 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 Openprovider and their customers.
Openprovider recently reported "Openprovider Data Exposure Due to Misconfigured Elasticsearch Instance", a noteworthy cybersecurity incident.
Dutch domain registrar Openprovider had almost 164 GB of internal and customer data accidentally exposed for three months as a result of a misconfigured Elasticsearch instance, putting the security of millions of domains at risk.
The disruption is felt across the environment, affecting Elasticsearch instance, and exposing 164 GB of internal and customer data.
In response, moved swiftly to contain the threat with measures like Database secured.
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 to high confidence (80%), with evidence including misconfigured Elasticsearch instance, and unsecured database exposed nearly 164GB of data. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), with evidence including domain transfer authentication codes exposed, and raw domain provisioning records leaked. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), with evidence including 164GB of internal and customer data exposed, and domain registration details, PII, and internal payloads leaked. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating elasticsearch instance misconfiguration led to prolonged exposure and Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating potential risk to millions of domains due to exposed data. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating misconfigured Elasticsearch instance left unsecured for three months. Under the Impact tactic, the analysis identified Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate confidence (50%), supported by evidence indicating potential widespread exploitation of shared vulnerabilities and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unredacted domain records could enable targeted cyberattacks. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Openprovider Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/openprovider/incident/OPE1767778930
- Openprovider CyberSecurity Rating page: https://www.rankiteo.com/company/openprovider
- Openprovider Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ope1767778930-breach-june-2025/
- Openprovider CyberSecurity Score History: https://www.rankiteo.com/company/openprovider/history
- Openprovider CyberSecurity Incident Source: https://www.scworld.com/brief/massive-openprovider-leak-threatens-web-domains
- 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