CVE-2026-69255 Details
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent in packages/components/nodes/agents/CSVAgent/CSVAgent.ts extracted attacker-controlled CSV data with file.split(',').pop() and interpolated it directly into executable Python as base64_string = "${base64String}" before calling Pyodide. The validatePythonCodeForDataFrame() denylist only checked later LLM-generated code and did not validate this initial code block. An authenticated attacker could inject a closing quote followed by Python code, use Pyodide's js bridge to load Node.js child_process, and execute arbitrary operating system commands as root in the Flowise container. This issue is fixed in version 3.1.3.
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Exploit prediction scoring system (EPSS) score for CVE-2026-69255
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%).
0.6 Probability of exploitation activity being observed over the next 30 days (48th percentile)
CVSS score for CVE-2026-69255
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.
8.8 High
Products affected by CVE-2026-69255

CVE-2026-69255 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 57 34.55%
DE 26 15.76%
SG 11 6.67%
ID 7 4.24%
GB 7 4.24%
FR 7 4.24%
CA 6 3.64%
IN 5 3.03%
SE 4 2.42%
RU 4 2.42%

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CVE-2026-69255 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 143 94.70%
Telecommunications 5 3.31%
Education 3 1.99%

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