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VulnerabilityPublished

CVE-2026-69253: FlowiseAI Flowise · Eval Injection

Affects FlowiseAI FlowiseSource CVE Database V5

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Not known to be exploited · CVSS 9.0 Critical : upgrade to 3.1.3 as a priority.

Data as of 2 Nov 2026, 10:58 UTC

CVSS 4.0 base score
9.0Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.6% chance of exploitation in 30 days – higher than 51% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 3.1.3
CVSS:4.0/AV:N/AC:H/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 4 Aug 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2 Nov 2026.

What to do

Upgrade Flowise and flowiseai/flowise to 3.1.3.

Affected software

ProductAffectedFixed in
FlowiseAIFlowiseAffected
  • <3.1.3
Fixed in
  • 3.1.3
npmflowiseai/flowisepkg:npm/flowiseai/flowiseOther threatsAffected
  • <3.1.3
Fixed in
  • 3.1.3

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Upgrade Flowise to version 3.1.3 or later, where the vulnerability is fixed by changing how user-controlled URLs are handled in the sandbox and by adding stricter URL validation. No other mitigations are specified. Patch status is not explicitly stated but the vendor has fixed the issue in 3.1.3, so upgrading to this version or later is the recommended remediation.

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.

References

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