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Analyze » Axios HQ » AXI1776738433

Incident Score: Analysis & Impact (AXI1776738433)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-36
Company Score Before Incident751 / 1000
Company Score After Incident715 / 1000
INCIDENT NUMBERAXI1776738433
Type of Cyber IncidentCyber Attack
ATTACK VECTORMalicious software update (compromised Axios library)
DATA EXPOSEDPersonal information of nearly 9.3...
INCIDENT DATE30/03/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Axios HQ'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 Axios HQ 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 Axios HQ breach identified under incident ID AXI1776738433.

The analysis begins with a detailed overview of Axios HQ's information like the linkedin page: https://www.linkedin.com/company/axioshq, the number of followers: 8214, the industry type: Software Development and the number of employees: 71 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 751 and after the incident was 715 with a difference of -36 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 Axios HQ and their customers.

On 31 March 2025, Multiple North Carolina businesses and residents disclosed Data Breach and Supply Chain Attack issues under the banner "North Carolina Data Breaches and Axios Cyber Threat".

North Carolina experienced a historic surge in data breaches in 2025, with 2,349 incidents reported—the highest number ever recorded in the state.

The disruption is felt across the environment, affecting Websites, applications, and internal tools using Axios, and exposing Personal information of nearly 9.3 million residents, with nearly 9.3 million records at risk.

In response, moved swiftly to contain the threat with measures like Isolate affected systems and Verify trusted versions of Axios, and began remediation that includes Revoke and reissue compromised credentials or access tokens and Rebuild breached systems from clean backups.

The case underscores how teams are taking away lessons such as The incident underscores the growing frequency of cyberattacks and the need for rapid response to mitigate damage, and recommending next steps like Check for Axios usage, Isolate affected systems and Verify trusted versions of Axios, with advisories going out to stakeholders covering North Carolina Attorney General Jeff Jackson has called on businesses to act swiftly.

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 hackers released malicious versions of an Axios update, and malicious software update (compromised Axios library). Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating potentially infecting systems that downloaded the compromised code. Under the Persistence tactic, the analysis identified Compromise Client Software Binary (T1554) with moderate to high confidence (70%), with evidence including malicious versions of an Axios update, and axios’ prevalence in websites, applications, and internal tools. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating compromised credentials or access tokens should be revoked and reissued. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal information of nearly 9.3 million residents exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating data breaches exposed the personal information of nearly 9.3 million residents. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with moderate confidence (50%), supported by evidence indicating breached systems may need to be rebuilt from clean backups and Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating rebuild breached systems from clean backups. 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%)
Execution
Exploitation for Client Execution (80%)
Persistence
Compromise Client Software Binary (70%)
Credential Access
Steal Application Access Token (70%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Impact
Defacement: Internal Defacement (50%)
Data Destruction (50%)

Sources & References