Incident Score: Analysis & Impact (MEREQUUNIMAEMGMGOOTOYSNOALLORARIPTIC1775528897)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Google's Ransomware 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 Google 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 Google breach identified under incident ID MEREQUUNIMAEMGMGOOTOYSNOALLORARIPTIC1775528897.
The analysis begins with a detailed overview of Google's information like the linkedin page: https://www.linkedin.com/company/google, the number of followers: 40050213, the industry type: Software Development and the number of employees: 327709 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 557 and after the incident was 500 with a difference of -57 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 Google and their customers.
UnitedHealth recently reported "Global Cybercrime Surge and Major Incidents (2024-2025)", a noteworthy cybersecurity incident.
Cybercrime damages projected to reach $10.5 trillion USD globally in 2025, with ransomware, cryptocurrency crimes, and supply-chain attacks dominating the threat landscape.
The disruption is felt across the environment, affecting Healthcare payments (UnitedHealth), Auto dealerships (CDK Global) and Casino operations (MGM Resorts), and exposing 560 million Ticketmaster records, Live Nation data and 147 million Equifax records, with nearly ['560 million (Ticketmaster)', '147 million (Equifax)', '200,000 systems (WannaCry)'] records at risk, plus an estimated financial loss of $10.5 trillion (projected global damages in 2025).
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Cybercrime is evolving with AI-driven attacks, underreporting remains a challenge, and supply-chain vulnerabilities are increasingly exploited. Small businesses are particularly vulnerable, with 60% folding within six months of an attack, and recommending next steps like Enhance patch management, improve cloud security configurations, invest in AI-driven defenses, and increase reporting of cyber incidents to law enforcement. Strengthen supply-chain security and prioritize ransomware preparedness.
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 Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating exploited credentials to access 560M Ticketmaster records (Snowflake breach), Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), supported by evidence indicating unpatched vulnerabilities exploited (Equifax, MOVEit, Heartbleed), Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating supply-chain attacks (MOVEit, Oracle Cloud, CDK Global), and Phishing (T1566) with moderate to high confidence (70%), supported by evidence indicating phishing listed as an attack vector. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating unpatched software exploited (MOVEit, Heartbleed) and User Execution (T1204) with moderate to high confidence (70%), supported by evidence indicating malware execution via ransomware strains (Akira, LockBit). Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating stolen credentials used for persistent access (Snowflake breach). Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating unpatched vulnerabilities exploited for escalation (MOVEit, Heartbleed) and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating stolen credentials used for privilege escalation (Snowflake breach). Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating stolen credentials used to evade detection (Snowflake breach) and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating ransomware attacks likely disabled security tools (Akira, LockBit). Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate to high confidence (70%), supported by evidence indicating stolen credentials exploited (Snowflake, ShinyHunters) and Cloud Instance Metadata API (T1552.005) with moderate confidence (60%), supported by evidence indicating misconfigured cloud databases targeted (ShinyHunters, Snowflake). Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating stolen credentials used to discover high-value targets (Snowflake breach) and Network Service Scanning (T1046) with moderate confidence (60%), supported by evidence indicating supply-chain attacks imply network scanning (MOVEit, Oracle Cloud). Under the Lateral Movement tactic, the analysis identified Remote Services (T1021) with moderate to high confidence (80%), supported by evidence indicating supply-chain attacks spread laterally (MOVEit, Oracle Cloud) and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating stolen credentials used for lateral movement (Snowflake breach). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 560M Ticketmaster records, 147M Equifax records compromised and Data from Cloud Storage (T1530) with moderate to high confidence (80%), supported by evidence indicating cloud databases targeted (Snowflake, ShinyHunters). Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating ransomware strains (Akira, LockBit) likely used C2 channels. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed (Snowflake, Clop, ShinyHunters) and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating cloud-based attacks imply data transfer to attacker-controlled accounts. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware strains encrypted data (Akira, LockBit, Clop), Defacement (T1491) with moderate confidence (50%), supported by evidence indicating ransomware attacks may include defacement (MGM Resorts), and Inhibit System Recovery (T1490) with moderate to high confidence (80%), supported by evidence indicating ransomware attacks disrupted operations (CDK Global, MGM Resorts). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Google Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/google/incident/MEREQUUNIMAEMGMGOOTOYSNOALLORARIPTIC1775528897
- Google CyberSecurity Rating page: https://www.rankiteo.com/company/google
- Google Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/merequunimaemgmgootoysnoallorariptic1775528897-unitedhealth-ticketmaster-mgm-resorts-ripple-snowflake-google-allianz-equifax-maersk-toyota-merck-oracle-ransomware-december-2025/
- Google CyberSecurity Score History: https://www.rankiteo.com/company/google/history
- Google CyberSecurity Incident Source: https://cybersecurityventures.com/cybersecurity-almanac-2025/
- 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