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CVE-2026-46477 FlowiseAI CVE debrief

CVE-2026-46477 is a HIGH severity vulnerability in Flowise, a drag & drop user interface to build a customized large language model flow. The vulnerability allows for cross-workspace dataset takeover due to dataset create and update mass-assignment. This issue was patched in version 3.1.2.

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 should update to version 3.1.2 to mitigate this vulnerability.

Technical summary

CVE-2026-46477 is a vulnerability in Flowise, a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, dataset create and update mass-assignment allows cross-workspace dataset takeover. The CVSS score for this vulnerability is 7.7, indicating a HIGH severity. The vulnerability was published on 2026-06-08T16:16:42.097Z and modified on 2026-06-15T14:02:35.157Z.

Defensive priority

HIGH

Recommended defensive actions

  • Update Flowise to version 3.1.2 or later.

Evidence notes

The vulnerability was patched in version 3.1.2. See [ref-4](https://github.com/FlowiseAI/Flowise/releases/tag/flowise%403.1.2) for product release notes and [ref-5](https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-5h9v-837x-m97r) for mitigation and vendor advisory.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-46477 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-46477

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

  • CVE-2026-46477 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-46477

    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.