CVE-2025-68697 Details
n8n is an open source workflow automation platform. Prior to version 2.0.0, in self-hosted n8n instances where the Code node runs in legacy (non-task-runner) JavaScript execution mode, authenticated users with workflow editing access can invoke internal helper functions from within the Code node. This allows a workflow editor to perform actions on the n8n host with the same privileges as the n8n process, including: reading files from the host filesystem (subject to any file-access restrictions configured on the instance and OS/container permissions), and writing files to the host filesystem (subject to the same restrictions). This issue has been patched in version 2.0.0. Workarounds for this issue involve limiting file operations by setting N8N_RESTRICT_FILE_ACCESS_TO to a dedicated directory (e.g., ~/.n8n-files) and ensure it contains no sensitive data, keeping N8N_BLOCK_FILE_ACCESS_TO_N8N_FILES=true (default) to block access to .n8n and user-defined config files, and disabling high-risk nodes (including the Code node) using NODES_EXCLUDE if workflow editors are not fully trusted.
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Exploit prediction scoring system (EPSS) score for CVE-2025-68697
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.04 Probability of exploitation activity being observed over the next 30 days (12th percentile)
CVSS score for CVE-2025-68697
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
7.1 High
Products affected by CVE-2025-68697
N8n 1.110.0
N8n 1.110.1
N8n 1.111.0
N8n 1.111.1
N8n 1.112.3
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Low
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CVE-2025-68697 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 122 42.66%
DE 35 12.24%
SG 15 5.24%
IN 14 4.90%
FR 10 3.50%
VN 9 3.15%
GB 8 2.80%
NL 7 2.45%
RU 5 1.75%
KR 5 1.75%

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CVE-2025-68697 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 211 91.34%
Telecommunications 16 6.93%
Education 1 0.43%
Energy/Resources 1 0.43%
Business Services 1 0.43%
Government/Politics 1 0.43%

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