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Budibase: Unvalidated VectorDB Host Parameter Enables SSRF

Moderate severity GitHub Reviewed Published May 21, 2026 in Budibase/budibase • Updated Jun 12, 2026

Package

npm @budibase/server (npm)

Affected versions

< 3.35.3

Patched versions

3.35.3

Description

Summary

The VectorDB configuration endpoint in Budibase accepts a host parameter that undergoes no validation against internal IP ranges, reserved hostnames, or URL schemes. Any authenticated user with builder-level access can supply an arbitrary host value such as 169.254.169.254 or localhost, causing the server to initiate outbound TCP connections to internal network addresses or cloud metadata endpoints on their behalf.

Details

The validator responsible for VectorDB creation and updates defines the host field as Joi.string().required(), which enforces only that the value is a non-empty string. No allowlist of external hostnames, no blocklist of RFC 1918 or link-local ranges, and no scheme validation are applied before the value is forwarded to the database SDK for connection establishment.

When a VectorDB entry is created or updated, the SDK uses the supplied host directly to open a TCP connection. Because the connection attempt originates from the Budibase server process, it traverses internal network boundaries that would otherwise be inaccessible to the attacker. Differences in connection timing and error messages between reachable and unreachable hosts allow an attacker to enumerate internal services and determine whether specific addresses are live. In cloud environments, the AWS EC2 metadata service at 169.254.169.254, the GCP metadata server at metadata.google.internal, and equivalent endpoints for other providers are all reachable this way.

Builder access is a realistic precondition in multi-tenant or team deployments, as the builder role is intended to allow application development without granting administrative privileges over the underlying infrastructure.

PoC

import requests
import time

BASE_URL = "https://TARGET_BUDIBASE_INSTANCE"
SESSION = requests.Session()

login_resp = SESSION.post(f"{BASE_URL}/api/global/auth/default/login", json={
    "username": "builder@example.com",
    "password": "builderpassword"
})
token = login_resp.cookies.get("budibase:auth") or login_resp.json().get("token")
SESSION.headers.update({"Cookie": f"budibase:auth={token}"})

targets = [
    ("169.254.169.254", 80),
    ("localhost", 5432),
    ("10.0.0.1", 22),
]

for host, port in targets:
    start = time.time()
    resp = SESSION.post(f"{BASE_URL}/api/ai/vectordb", json={
        "name": f"probe_{host.replace('.', '_')}_{port}",
        "provider": "pgvector",
        "host": host,
        "port": port,
        "database": "db"
    })
    elapsed = time.time() - start
    print(f"host={host} port={port} status={resp.status_code} time={elapsed:.2f}s body={resp.text[:200]}")

Impact

An attacker with builder access can use the Budibase server as a proxy to probe internal network topology, determine which hosts and ports are reachable from the server, and potentially interact with unauthenticated internal services including cloud instance metadata endpoints. In environments where cloud metadata endpoints expose credentials or instance identity documents, successful retrieval of metadata could lead to privilege escalation or lateral movement within the cloud environment. The attack requires no interaction beyond a single authenticated API request per probe target.

References

@mjashanks mjashanks published to Budibase/budibase May 21, 2026
Published by the National Vulnerability Database May 27, 2026
Published to the GitHub Advisory Database Jun 12, 2026
Reviewed Jun 12, 2026
Last updated Jun 12, 2026

Severity

Moderate

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 Low
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality Low
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:L/VI:N/VA:N/SC:L/SI:N/SA:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(14th percentile)

Weaknesses

Server-Side Request Forgery (SSRF)

The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. Learn more on MITRE.

CVE ID

CVE-2026-48148

GHSA ID

GHSA-cv96-5348-p5p8

Source code

Credits

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