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Analyze » n8n » N8N1772821622

Incident Score: Analysis & Impact (N8N1772821622)

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 Incident728 / 1000
Company Score After Incident723 / 1000
Company LinkView n8n Profile
INCIDENT NUMBERN8N1772821622
Type of Cyber IncidentVulnerability
ATTACK VECTORMalicious JavaScript payload injection via OAuth credential handling misconfiguration
DATA EXPOSEDOAuth tokens, API keys, credentials
INCIDENT DATE05/02/2026
STATUSPatched

Key Highlights From The Incident Analysis

  • Timeline of n8n'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 n8n 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 n8n breach identified under incident ID N8N1772821622.

The analysis begins with a detailed overview of n8n's information like the linkedin page: https://www.linkedin.com/company/n8n, the number of followers: 256751, the industry type: Software Development and the number of employees: 663 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 728 and after the incident was 723 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 n8n and their customers.

On 06 February 2024, n8n disclosed Stored Cross-Site Scripting (XSS) issues under the banner "Stored XSS Vulnerability in n8n Automation Platform Exposes Credentials to Attackers".

Researchers at Imperva identified a stored cross-site scripting (XSS) vulnerability in n8n, a popular workflow automation platform, stemming from a misconfiguration in OAuth credential handling.

The disruption is felt across the environment, affecting n8n automation platform, connected services (Google Workspace, Microsoft 365, Slack, GitHub, etc.), and exposing OAuth tokens, API keys, credentials.

In response, moved swiftly to contain the threat with measures like Patch released in n8n v2.6.4, and began remediation that includes Proper sanitization of authorization URLs, patch application.

The case underscores how Patched, teams are taking away lessons such as Automation platforms centralize risk and should be treated as Tier-0 assets with strict access controls and timely patching, and recommending next steps like Apply n8n v2.6.4 patch, enforce strict access controls, monitor for malicious integrations, and treat automation platforms as critical assets, with advisories going out to stakeholders covering Organizations using n8n advised to apply the patch and enforce access controls.

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 moderate confidence (50%), supported by evidence indicating initial access to the victim’s n8n system required for exploitation. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating malicious JavaScript payloads execute when users interact with compromised credentials. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating steal OAuth tokens and API keys across multiple services and Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating oAuth tokens, API keys, credentials compromised via stored XSS. Under the Privilege Escalation tactic, the analysis identified Abuse Elevation Control Mechanism: Setuid and Setgid (T1548.001) with lower confidence (40%), supported by evidence indicating potential system-wide access escalation via compromised credentials and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating escalate access to connected applications using stolen OAuth tokens. Under the Lateral Movement tactic, the analysis identified Remote Services: Cloud Services (T1021.007) with moderate to high confidence (80%), supported by evidence indicating access to connected services (Google Workspace, Microsoft 365, Slack, GitHub). Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating compromise of automation workflows aggregating access to critical systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating credential exfiltration via malicious scripts. Under the Defense Evasion tactic, the analysis identified Command and Scripting Interpreter: JavaScript (T1059.007) with moderate to high confidence (80%), supported by evidence indicating malicious JavaScript payloads injected via improper URL sanitization and BITS Jobs (T1197) with lower confidence (30%), supported by evidence indicating potential use of legitimate automation workflows for persistence. 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 (50%)
Execution
Exploitation for Client Execution (80%)
Credential Access
Steal Application Access Token (90%)
Credentials In Files (80%)
Privilege Escalation
Abuse Elevation Control Mechanism: Setuid and Setgid (40%)
Valid Accounts (70%)
Lateral Movement
Remote Services: Cloud Services (80%)
Collection
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Defense Evasion
Command and Scripting Interpreter: JavaScript (80%)
BITS Jobs (30%)