MindGeek Breach Incident Score: Analysis & Impact (MIN1766042250)

In this Rankiteo incident briefing, we review the MindGeek breach identified under incident ID MIN1766042250.

The analysis begins with a detailed overview of MindGeek's information like the linkedin page: https://www.linkedin.com/company/mindgeek, the number of followers: 0, the industry type: Internet Publishing and the number of employees: 617 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 832 and after the incident was 793 with a difference of -39 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 MindGeek and their customers.

PornHub recently reported "PornHub Data Breach and Extortion by ShinyHunters", a noteworthy cybersecurity incident.

An extortion demand sent to PornHub claims 94GB of data containing over 200 million records of personal information was stolen in the breach.

The disruption is felt across the environment, and exposing 94GB of data with over 200 million records, with nearly 201,211,943 records at risk.

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.

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 Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating shinyHunters linked to high-profile breaches (e.g., Salesforce, Google) and Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating pornHub as a large-scale target with potential unpatched vulnerabilities. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating massive data breach suggests possible credential exposure or misconfiguration. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating 94GB of data stolen, including search histories, watch/download activity. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate to high confidence (80%), supported by evidence indicating shinyHunters known for exfiltrating large datasets for extortion and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration confirmed, likely via command-and-control infrastructure. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating extortion demand suggests potential ransomware-like tactics and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating high risk of identity theft and privacy violations from stolen data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.