High severity · published Aug 4, 2026
CVE-2026-69253
Flowise Sandbox Escape to RCE
8.8
CVSS
0.7%
EPSS
No
On KEV
Description
Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to version 3.1.3, several custom-tool components — AgentAsTool, ChatflowTool, and ExecuteFlow — ran code in the in-process vm2 sandbox. To build that code, they inserted a user-controlled baseURL value straight into the JavaScript source, for example const url = "${baseURL}/..."; . The only check on baseURL was isValidURL , but a valid-looking URL can still contain characters that break out of a code string. An authenticated user could craft a baseURL that passed this check, closed the surrounding string, and injected their own JavaScript into the sandboxed script (code injection, CWE-94). The vm2 sandbox runs in the same Node.js process as Flowise and exposes risky dependencies. As a result, the injected code could escape the sandbox and run arbitrary code on the Flowise server as the Flowise process user. Exploitation only requires an authenticated session. The issue is fixed in version 3.1.3, which passes the URL to the sandbox as data instead of inserting it into code and adds stricter URL validation.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack vector
Network
Complexity
Low
Privileges
Low
User interaction
None
Confidentiality
High
Integrity
High
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.7% · higher than 52% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
FL
Flowise · FlowiseAI
< 3.1.3 · source: vendor, NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-69253
CVE.org
https://www.cve.org/CVERecord?id=CVE-2026-69253
Patch
https://github.com/FlowiseAI/Flowise/commit/3f257bdc8196082a178da7134a075824401b13b9
Issue Tracking
https://github.com/FlowiseAI/Flowise/pull/6417
Patch
https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3
Exploit
https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-wg86-r78f-74mp
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