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Analyze » Google Chrome » GOO1771975200

Incident Score: Analysis & Impact (GOO1771975200)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-5
Company Score Before Incident693 / 1000
Company Score After Incident688 / 1000
Company LinkView Google Chrome Profile
INCIDENT NUMBERGOO1771975200
Type of Cyber IncidentVulnerability
ATTACK VECTORBrowser Exploitation
DATA EXPOSEDSensitive data exposure, session token...
INCIDENT DATE23/02/2026
STATUSPatch released, investigation ongoing for exploitation attempts

Key Highlights From The Incident Analysis

  • Timeline of Google Chrome's Vulnerability 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 Chrome 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 Chrome breach identified under incident ID GOO1771975200.

The analysis begins with a detailed overview of Google Chrome's information like the linkedin page: https://www.linkedin.com/company/google-chrome, the number of followers: 26575, 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 693 and after the incident was 688 with a difference of -5 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 Chrome and their customers.

Google Chrome Users recently reported "Google Releases Emergency Chrome Update to Patch Three High-Severity Vulnerabilities", a noteworthy cybersecurity incident.

Google has issued an urgent security update for its Chrome browser, addressing three high-severity vulnerabilities that could expose users to remote code execution, data leaks, and sandbox bypasses.

The disruption is felt across the environment, affecting Chrome browser on Windows, Mac, and Linux, and exposing Sensitive data exposure, session token theft.

In response, moved swiftly to contain the threat with measures like Security patch released, and began remediation that includes Manual update via chrome://settings/help or automatic update deployment, and stakeholders are being briefed through Responsible disclosure with withheld technical details.

The case underscores how Patch released, investigation ongoing for exploitation attempts, teams are taking away lessons such as Ongoing threat landscape targeting widely used browsers; importance of bug bounty programs in identifying critical flaws, and recommending next steps like Users should restart Chrome or manually check for updates via chrome://settings/help. Enterprises should deploy the patch across fleets using Google Update policies, with advisories going out to stakeholders covering Users advised to update Chrome immediately to mitigate risks.

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 high confidence (90%), supported by evidence indicating three high-severity vulnerabilities that could expose users to remote code execution. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with high confidence (90%), supported by evidence indicating remote code execution, data leaks, and sandbox bypasses via Chrome vulnerabilities. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating potential sandbox escapes and session token theft via CVE-2026-3063. Under the Credential Access tactic, the analysis identified Steal Web Session Cookie (T1539) with moderate to high confidence (80%), supported by evidence indicating session token theft via improper implementation in DevTools (CVE-2026-3063). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating sensitive data exposure via out-of-bounds read in Media component (CVE-2026-3061). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating data leaks and potential remote code execution via Chrome vulnerabilities. Under the Defense Evasion tactic, the analysis identified Exploitation for Defense Evasion (T1211) with moderate to high confidence (70%), supported by evidence indicating sandbox bypasses via improper implementation in DevTools (CVE-2026-3063). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (90%)
Execution
Exploitation for Client Execution (90%)
Privilege Escalation
Exploitation for Privilege Escalation (80%)
Credential Access
Steal Web Session Cookie (80%)
Collection
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Defense Evasion
Exploitation for Defense Evasion (70%)

Sources & References