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Analyze » Google Research » AXIGOO1775048584

Incident Score: Analysis & Impact (AXIGOO1775048584)

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 Incident742 / 1000
Company Score After Incident726 / 1000
INCIDENT NUMBERAXIGOO1775048584
Type of Cyber IncidentCyber Attack
ATTACK VECTORCompromised developer account
DATA EXPOSEDPotential cryptocurrency theft
INCIDENT DATE30/03/2026
STATUSOngoing

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 AXIGOO1775048584.

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 742 and after the incident was 726 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.

On 07 January 2025, Axios (software developer) disclosed Supply-Chain Attack issues under the banner "North Korean Hackers Target U.S. Firms in Supply-Chain Attack to Fund Nuclear Program".

A suspected North Korean hacking group compromised a software developer’s account tied to Axios, a widely used tool for connecting applications and web services, in a supply-chain attack aimed at stealing cryptocurrency.

The disruption is felt across the environment, affecting Organizations using Axios software (cryptocurrency firms, blockchain developers, tech companies), and exposing Potential cryptocurrency theft.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing.

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: Compromise Software Supply Chain (T1195.002) with high confidence (90%), with evidence including compromised a software developer’s account tied to Axios, and pushing malicious updates to organizations and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating attackers gained control of the developer’s account for three hours. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating pushing malicious updates to organizations that downloaded the software. Under the Persistence tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating attackers gained control of the developer’s account for three hours. Under the Privilege Escalation tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating compromised a software developer’s account tied to Axios. Under the Defense Evasion tactic, the analysis identified Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), supported by evidence indicating pushing malicious updates via legitimate software distribution. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating compromised a software developer’s account tied to Axios. Under the Collection tactic, the analysis identified Data from Information Repositories: Code Repositories (T1213.001) with moderate confidence (60%), supported by evidence indicating targeting cryptocurrency firms, blockchain developers. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), with evidence including aimed at stealing cryptocurrency, and north Korea-linked threat actor. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating stealing cryptocurrency to fund nuclear/missile programs. 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: Compromise Software Supply Chain (90%)
Valid Accounts: Cloud Accounts (80%)
Execution
User Execution: Malicious File (80%)
Persistence
Valid Accounts: Cloud Accounts (70%)
Privilege Escalation
Valid Accounts: Cloud Accounts (70%)
Defense Evasion
Supply Chain Compromise: Compromise Software Supply Chain (80%)
Credential Access
Steal Application Access Token (70%)
Collection
Data from Information Repositories: Code Repositories (60%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Impact
Resource Hijacking (70%)