Flowise BullMQ Dashboard Authorization Bypass

Flowise through 3.1.4 does not enforce authorization on the BullMQ admin dashboard. When the server runs in queue mode with the dashboard enabled and not in cloud mode (MODE=queue, ENABLE_BULLMQ_DASHBOARD=true, and !isCloud()), the /admin/queues mount is protected only by the verifyTokenForBullMQDashboard middleware, which validates the JWT but performs no role, permission, or workspace/organization scoping check; the mount also lies outside /api/v1/* so the global API gate does not apply. As a result, any authenticated user — including the lowest-privileged member of any tenant — can reach the full Bull-Board UI and view all queues and job payloads across the entire instance, including chat inputs and overrideConfig (which may carry credentials and prompts), chatflow.flowData graph definitions with custom function source code, credential IDs and system prompts, chatIds, files, and the originating orgId/workspaceId. The dashboard's write actions (retry, remove, promote, clean) are like

Casky was already ahead

This CVE exploits attack patterns that Casky's 283matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

Flowise versions through 3.1.4 contain a critical authorization bypass vulnerability in the BullMQ admin dashboard. When a Flowise instance is configured to run in queue mode with the dashboard enabled (MODE=queue, ENABLE_BULLMQ_DASHBOARD=true, and not in cloud mode), the /admin/queues endpoint performs only token validation without enforcing role-based access control, permission checks, or workspace/organization scoping. This means any authenticated user—regardless of their actual permissions or organizational context—can access queue management functions. The vulnerability is particularly severe because this endpoint exists outside the /api/v1/* path structure, bypassing the global API authorization gate. Organizations deploying Flowise in queue mode with dashboard capabilities are at risk of unauthorized queue manipulation, potential data exfiltration, and service disruption.

Casky's 283 mapped security skills leverage Claude AI's extended reasoning to detect the attack patterns behind this vulnerability across MITRE ATT&CK's Privilege Escalation (TA0004) and Credential Access (TA0006) techniques. Practitioners using Casky would identify findings related to broken access control patterns: specifically, the absence of authorization logic on protected endpoints, token validation without permission enforcement, and scope confusion where workspace/organization boundaries are not enforced. Security teams would see detections flagging authentication-only implementations that lack authorization checks, endpoint isolation from global security gates, and API design patterns that introduce privilege escalation opportunities. By analyzing code paths and API architecture through these skill mappings, practitioners can pinpoint exactly where authorization enforcement is missing and remediate by implementing proper role-based access control and scope validation on the BullMQ dashboard endpoints.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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283 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-100608.

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

Access with Stolen Session Cookie

identity access management · low

Run

MITRE ATT&CK Techniques

TA0004 TA0006

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