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PatchSiren cyber security CVE debrief

CVE-2026-46443 FlowiseAI CVE debrief

CVE-2026-46443 is a high-severity vulnerability in Flowise, a drag & drop user interface for building customized large language model flows. The issue allows an attacker to access encrypted data when credentials are fetched with a credentialName filter parameter. This vulnerability has been patched in version 3.1.2.

Vendor
FlowiseAI
Product
Flowise
CVSS
HIGH 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 handling sensitive data, should be aware of this vulnerability and take immediate action to patch their installations.

Technical summary

In Flowise versions prior to 3.1.2, when fetching credentials with a credentialName filter parameter, the encryptedData field is not properly stripped from the response. This can lead to unintended exposure of sensitive information.

Defensive priority

High

Recommended defensive actions

  • Upgrade Flowise to version 3.1.2 or later.
  • Review and adjust credential handling and filtering in your Flowise installation.

Evidence notes

This vulnerability was patched in version 3.1.2. For more information, see [ref-4](https://github.com/FlowiseAI/Flowise/releases/tag/flowise%403.1.2) and [ref-5](https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-7g73-99r4-m4mj).

Sources and references

Verified primary and authoritative sources

  • CVE-2026-46443 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-46443

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

  • CVE-2026-46443 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-46443

    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.