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.
{
"cna_assigner": "GitHub_M",
"cwe_ids": [
"CWE-94"
],
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/69xxx/CVE-2026-69255.json"
}{
"extracted_events": [
{
"cpe": "cpe:2.3:a:flowiseai:flowise:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "0"
},
{
"fixed": "3.1.3"
}
],
"source": "CPE_RANGE"
},
{
"range": [
{
"fixed": "f4e2794f6a576b94578f2fdafbf49c2fb304626c"
}
],
"source": "REFERENCES_COMMIT"
},
{
"original_tag": "flowise@3.1.3",
"range": [
{
"fixed": "09f099dbfda179e439ec677d06ad737375899eef"
}
],
"source": "REFERENCES_TAG"
}
]
}