Incident Score: Analysis & Impact (N8N1785774219)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
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 N8N1785774219.
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: 393526, the industry type: Software Development and the number of employees: 1153 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 724 with a difference of -4 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.
n8n recently reported "Chinese-Speaking Threat Actor Leverages DeepSeek AI in Autonomous Hacking Campaign", a noteworthy cybersecurity incident.
A Chinese-speaking threat actor conducted an AI-driven hacking campaign using DeepSeek, China’s AI platform, alongside the Hermes Agent framework to automate vulnerability discovery.
Impact assessments are still underway, so the full scope is not yet clear.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as The incident underscores the evolving tactics of cybercriminals, particularly the growing use of AI-powered autonomous hacking and the expanding toolkit available to malicious actors. It also highlights the risks in sectors like manufacturing where IT/OT convergence increases vulnerability exposure.
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%), supported by evidence indicating chained vulnerability in n8n, combining an arbitrary file read flaw and RCE flaw and Acquire Infrastructure: Vulnerability Scanning (T1583.006) with moderate to high confidence (80%), supported by evidence indicating attacker scanned GitHub for trending proof-of-concept (POC) exploits. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating remote-code execution (RCE) flaw in n8n and Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), supported by evidence indicating aI-driven hacking campaign using DeepSeek and Hermes Agent framework. Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with moderate confidence (50%), supported by evidence indicating arbitrary file read flaw could enable persistence mechanisms. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating exploit required auto-login to be enabled or a public flow ID and Use Alternate Authentication Material: Pass the Hash (T1550.002) with lower confidence (40%), supported by evidence indicating aI-driven campaign may have tested alternate auth methods. Under the Discovery tactic, the analysis identified Active Scanning: Vulnerability Scanning (T1595.002) with high confidence (90%), supported by evidence indicating scanned GitHub for trending POC exploits targeting n8n and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating arbitrary file read flaw in n8n. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating arbitrary file read flaw in n8n. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate confidence (60%), supported by evidence indicating experimented with Western AI tools (Claude Code, Codex) for connectivity testing and Proxy (T1090) with moderate confidence (50%), supported by evidence indicating proxy validation using Western AI tools. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- n8n Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/n8n/incident/N8N1785774219
- n8n CyberSecurity Rating page: https://www.rankiteo.com/company/n8n
- n8n Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/n8n1785774219-n8n-vulnerability-august-2026/
- n8n CyberSecurity Score History: https://www.rankiteo.com/company/n8n/history
- n8n CyberSecurity Incident Source: https://www.cybersecuritydive.com/news/china-based-hacker-deepseek-autonomous/826784/
- 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