Incident Score: Analysis & Impact (AXI1770717293)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Axios'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 Axios 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 breach identified under incident ID AXI1770717293.
The analysis begins with a detailed overview of Axios's information like the linkedin page: https://www.linkedin.com/company/axios, the number of followers: 0, the industry type: Business Consulting and Services and the number of employees: 19 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 770 and after the incident was 767 with a difference of -3 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 and their customers.
Axios recently reported "Critical DoS Vulnerability in Axios HTTP Library Exposes Node.js Servers to Crashes", a noteworthy cybersecurity incident.
A high-severity security flaw (CVE-2026-25639) has been identified in Axios, a widely used HTTP client library for Node.js, enabling attackers to trigger denial-of-service (DoS) attacks by crashing servers.
The disruption is felt across the environment, affecting Node.js servers using Axios versions up to and including 1.13.4.
In response, moved swiftly to contain the threat with measures like Upgrade to Axios version 1.13.5, and began remediation that includes Patch released (version 1.13.5) with proper checks for unusual property names in configuration objects.
The case underscores how Vulnerability patched, teams are taking away lessons such as Importance of validating property names in configuration objects to prevent prototype pollution and DoS vulnerabilities. Need for immediate patching of critical vulnerabilities in widely used libraries, and recommending next steps like Upgrade Axios to version 1.13.5 or later. Audit codebases for instances where user input flows into Axios configurations. Implement input validation and sanitization for JSON payloads, with advisories going out to stakeholders covering Developers advised to upgrade immediately and audit their codebases.
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%), with evidence including network-based attack vector, no authentication required, and cVE-2026-25639 in Axios. Under the Impact tactic, the analysis identified Endpoint Denial of Service (T1499) with high confidence (100%), with evidence including denial-of-service (DoS) attacks by crashing servers, immediate server crash, and full disruption of service availability and Application or System Exploitation (T1499.004) with high confidence (90%), with evidence including improper handling of configuration objects in `mergeConfig` function, and exploits Axios by sending maliciously crafted JSON payload. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), with evidence including maliciously crafted JSON payload triggers server crash, and affects Node.js servers using Axios. Under the Defense Evasion tactic, the analysis identified Indicator Removal (T1066) with moderate confidence (50%), supported by evidence indicating vulnerability does not corrupt application behavior incrementally. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Axios Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/axios/incident/AXI1770717293
- Axios CyberSecurity Rating page: https://www.rankiteo.com/company/axios
- Axios Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/axi1770717293-axios-vulnerability-february-2026/
- Axios CyberSecurity Score History: https://www.rankiteo.com/company/axios/history
- Axios CyberSecurity Incident Source: https://gbhackers.com/axios-vulnerability-allows-attackers-to-trigger-dos/
- 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