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Analyze » OpenJS Foundation » OPE4083640112625

Incident Score: Analysis & Impact (OPE4083640112625)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-1
Company Score Before Incident749 / 1000
Company Score After Incident748 / 1000
Company LinkView OpenJS Foundation Profile
INCIDENT NUMBEROPE4083640112625
Type of Cyber IncidentVulnerability
ATTACK VECTORRemote, Network-based
DATA EXPOSEDNA
INCIDENT DATE14/05/2025
STATUSOngoing (patches released, further analysis likely)

Key Highlights From The Incident Analysis

  • Timeline of OpenJS Foundation'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 OpenJS Foundation 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 OpenJS Foundation breach identified under incident ID OPE4083640112625.

The analysis begins with a detailed overview of OpenJS Foundation's information like the linkedin page: https://www.linkedin.com/company/openjs-foundation, the number of followers: 9451, the industry type: IT Services and IT Consulting and the number of employees: 30 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 749 and after the incident was 748 with a difference of -1 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 OpenJS Foundation and their customers.

Node.js Project recently reported "Node.js High-Severity Denial of Service Vulnerability (CVE-2025-23166)", a noteworthy cybersecurity incident.

The Node.js project disclosed a high-severity vulnerability (CVE-2025-23166) in asynchronous cryptographic operations, enabling remote attackers to crash Node.js processes.

The disruption is felt across the environment, affecting Node.js applications exposed to the internet and Services relying on cryptographic operations (authentication, data protection, secure communications).

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Urgent security updates released for all supported versions, and began remediation that includes Patching to versions 20.19.2, 22.15.1, 23.11.1, or 24.0.2, and stakeholders are being briefed through Official security advisory published, Subscription to Node.js-sec mailing list for updates and Reference to Node.js security policy for guidance.

The case underscores how Ongoing (patches released, further analysis likely), teams are taking away lessons such as Critical importance of patching cryptographic vulnerabilities in foundational software, Risks of untrusted input handling in asynchronous operations and Need for proactive subscription to security advisories (e.g., Node.js-sec mailing list), and recommending next steps like Immediately update Node.js to patched versions (20.19.2, 22.15.1, 23.11.1, 24.0.2), Audit applications for exposure to untrusted inputs in cryptographic operations and Monitor for unusual crashes or service disruptions as potential exploitation indicators, with advisories going out to stakeholders covering Developers and organizations using Node.js urged to apply updates immediately and Warning about risks to authentication, data protection, and secure communications.

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 Impact tactic, the analysis identified Endpoint Denial of Service: Application or System Exploitation (T1499.004) with high confidence (95%), with evidence including enabling remote attackers to crash Node.js processes, leading to **widespread denial-of-service (DoS) outages**, and immediate service disruptions, remote crashes via CVE-2025-23166 and Network Denial of Service: Connection Flood (T1498.002) with moderate to high confidence (70%), with evidence including network-based attack vector targeting internet-exposed Node.js applications, and cascading failures across internet-exposed applications. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with high confidence (90%), with evidence including remote attackers exploiting `SignTraits such as :DeriveBits()` via untrusted inputs in asynchronous cryptographic functions, and internet-exposed applications affected by CVE-2025-23166. Under the Defense Evasion tactic, the analysis identified Process Injection: Thread Execution Hijacking (T1055.008) with moderate to high confidence (80%), with evidence including incorrectly call `ThrowException()` based on user-supplied inputs in a **background thread**, and thread-safety issues in exception handling (post-incident analysis). Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), with evidence including potential Exploitation for Further Attacks (motivation), and cryptographic operations often run with elevated privileges (implied by authentication, data protection). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Sources & References