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CVE-2026-69256 FlowiseAI CVE debrief

CVE-2026-69256 is a critical vulnerability in Flowise, a drag-and-drop user interface for building customized large language model flows. An authenticated user can exploit this vulnerability by creating or modifying a chatflow, adding a CSV Agent with a malicious read_pickle payload in the Additional Parameters, and triggering the /api/v1/prediction/<UUID> endpoint to execute commands. This issue is fixed in version 3.1.3.

Vendor
FlowiseAI
Product
Flowise
CVSS
CRITICAL 9.4
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-04
Original CVE updated
2026-09-14
Advisory published
2026-08-04
Advisory updated
2026-09-14

Who should care

Defenders responsible for Flowise deployments, especially those with authenticated users, should assess exposure and prioritize verification and remediation efforts with a focus on potential command execution risks via malicious read_pickle payloads in chatflows.

Why it matters

CVE-2026-69256 is a critical vulnerability in Flowise that allows authenticated users to execute commands via a malicious read_pickle payload. Defenders should prioritize verifying Flowise deployments, especially those with authenticated users, and upgrade to version 3.1.3 or later. They should also monitor for suspicious activity and implement compensating controls to prevent exploitation. The vulnerability requires verification of affected versions and remediation efforts.

  • Authenticated users can execute commands via malicious read_pickle payload
  • Potential for code execution and command injection
  • Need to verify Flowise deployments and upgrade to fixed version
  • Monitoring and compensating controls required to prevent exploitation

Technical summary

The CSVAgent node in Flowise allowed users to provide Python code that is executed through pyodide. A denylist blocked dangerous Python constructs, but pandas.read_pickle() could deserialize a pickled payload and achieve code execution without matching the denied words. An authenticated user who can create or modify a chatflow can add a CSV Agent, place a malicious read_pickle payload in the Additional Parameters, save the chatflow, and trigger /api/v1/prediction/<UUID> to execute commands.

Defensive priority

Defenders should prioritize verifying Flowise deployments, especially those with authenticated users, and upgrade to version 3.1.3 or later. They should also monitor for suspicious activity and implement compensating controls to prevent exploitation.

Recommended defensive actions

  • Verify Flowise deployments and upgrade to version 3.1.3 or later
  • Monitor for suspicious activity and implement compensating controls
  • Review and restrict user access to chatflow creation and modification
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected versions. The vendor, FlowiseAI, has released a fixed version (3.1.3) and provided source references for further information.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-69256 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-69256

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

  • CVE-2026-69256 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-69256

    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.