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Analyze » Google Research » TELGOO1772110899

Incident Score: Analysis & Impact (TELGOO1772110899)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-16
Company Score Before Incident761 / 1000
Company Score After Incident745 / 1000
INCIDENT NUMBERTELGOO1772110899
Type of Cyber IncidentCyber Attack
ATTACK VECTORMalware (GRIDTIDE) exploiting Google Sheets API
DATA EXPOSEDPersonally identifiable information (PII) such...
INCIDENT DATE25/02/2026
STATUSDisrupted

Key Highlights From The Incident Analysis

  • Timeline of Google Research'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 Google Research 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 Research breach identified under incident ID TELGOO1772110899.

The analysis begins with a detailed overview of Google Research's information like the linkedin page: https://www.linkedin.com/company/googleresearch, the number of followers: 362436, the industry type: Technology, Information and Internet and the number of employees: None 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 761 and after the incident was 745 with a difference of -16 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 Research and their customers.

A newly reported cybersecurity incident, "Google Disrupts Major Chinese Cyber Espionage Campaign Targeting Global Telecom and Government Sectors", has drawn attention.

Google’s Threat Intelligence Group (GTIG), alongside Mandiant and other partners, recently dismantled a large-scale cyber espionage operation linked to the Chinese hacker group UNC2814.

The disruption is felt across the environment, and exposing Personally identifiable information (PII) such as names, phone numbers, and national ID numbers.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Terminated attacker-controlled Google Cloud Projects, disabled Google Sheets API infrastructure used for C2, blocked malicious traffic, and began remediation that includes Released Indicators of Compromise (IOCs) including malicious domains and IP addresses.

The case underscores how Disrupted, teams are taking away lessons such as The incident underscores the increasing complexity of defending against advanced persistent threats (APTs), particularly as attackers exploit legitimate cloud services to bypass traditional security measures.

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 Supply Chain Compromise (T1195) with lower confidence (30%), supported by evidence indicating campaign relied on GRIDTIDE malware and Trusted Relationship (T1199) with lower confidence (40%), supported by evidence indicating targeted telecom and government organizations. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (70%), supported by evidence indicating gRIDTIDE malware exploited Google Sheets API for C2 and Command and Scripting Interpreter (T1059) with moderate confidence (60%), supported by evidence indicating gRIDTIDE used cryptographic keys to send commands. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate confidence (50%), supported by evidence indicating gRIDTIDE provided persistent access to compromised systems and Event Triggered Execution (T1546) with lower confidence (40%), supported by evidence indicating malware maintained control and executed further operations. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating exploited legitimate Google Sheets API for C2 communications, Masquerading (T1036) with moderate to high confidence (70%), supported by evidence indicating embedded malicious activity within legitimate API traffic, and Hide Artifacts (T1564) with moderate confidence (60%), supported by evidence indicating evaded detection using Google Sheets API. Under the Command and Control tactic, the analysis identified Web Service (T1102) with high confidence (90%), supported by evidence indicating gRIDTIDE exploited Google Sheets API for C2 communications and Application Layer Protocol (T1071) with moderate to high confidence (80%), supported by evidence indicating used Google Sheets API to send commands, transfer files. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating exfiltrated PII such as names, phone numbers, national ID numbers and Automated Collection (T1119) with moderate to high confidence (70%), supported by evidence indicating intelligence collection focus on telecom/government sectors. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating exfiltrated sensitive data via Google Sheets API and Exfiltration Over Web Service (T1567) with moderate to high confidence (80%), supported by evidence indicating used Google Sheets API for data exfiltration. Under the Impact tactic, the analysis identified Gather Victim Network Information (T1590) with moderate confidence (60%), supported by evidence indicating intelligence collection targeting telecom/government. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (30%)
Trusted Relationship (40%)
Execution
Exploitation for Client Execution (70%)
Command and Scripting Interpreter (60%)
Persistence
Account Manipulation (50%)
Event Triggered Execution (40%)
Defense Evasion
Valid Accounts (80%)
Masquerading (70%)
Hide Artifacts (60%)
Command and Control
Web Service (90%)
Application Layer Protocol (80%)
Collection
Data from Local System (80%)
Automated Collection (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (80%)
Impact
Gather Victim Network Information (60%)

Sources & References