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PatchSiren cyber security CVE debrief

CVE-2026-46475 FlowiseAI CVE debrief

CVE-2026-46475 is a HIGH-severity vulnerability in Flowise, a drag & drop user interface for building customized large language model flows. The issue, patched in version 3.1.2, allows for cross-workspace assistant takeover due to mass-assignment vulnerabilities in assistant create and update functions.

Vendor
FlowiseAI
Product
Flowise
CVSS
HIGH 7.7
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-08
Original CVE updated
2026-07-23
Advisory published
2026-06-08
Advisory updated
2026-07-23

Who should care

Users of Flowise, especially those hosting multi-workspace environments, should be aware of this vulnerability. Upgrading to version 3.1.2 or later is recommended.

Technical summary

CVE-2026-46475 is a vulnerability in Flowise, a tool for creating customized large language model flows. The issue arises from mass-assignment vulnerabilities in the assistant create and update functions, which allow for cross-workspace assistant takeover. This vulnerability has been patched in Flowise version 3.1.2.

Defensive priority

HIGH

Recommended defensive actions

  • Upgrade Flowise to version 3.1.2 or later to mitigate the vulnerability.

Evidence notes

The CVE-2026-46475 vulnerability was published on 2026-06-08T16:16:41.810Z and modified on 2026-06-12T17:47:36.123Z. It has a CVSS score of 7.7 and is classified as HIGH severity.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-46475 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-46475

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-46475 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-46475

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.