SSRF (Server-Side Request Forgery) in Budibase (CVE-2026-103757)
Summary
SSRF in Budibase (CVE-2026-103757). Confidential information can be exposed externally. Exploitable via POST /api/ai/tables.
Original description
The description as published by the source.
Budibase through 3.41.0 contains a server-side request forgery vulnerability in AI table generation because the uploadUrl function in packages/server/src/utilities/fileUtils.ts uses raw node-fetch instead of fetchWithBlacklist. Authenticated builder users can send a prompt to POST /api/ai/tables that places an internal URL in an attachment column, causing the server to fetch it and return a presigned object-storage URL containing the response, such as cloud metadata credentials.
Source: NIST National Vulnerability Database NVD GitHub Advisory
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2026-103757 has been found in Budibase.
Attackers can target a specific entry point like POST /api/ai/tables over the network to misuse the product.
Confidential information can be exposed externally. CVSS score: 7.7/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "Budibase CVE-2026-103757" on the vendor's site.
CVE-2026-103757 (Budibase) — CWE-918 / CVSS v3 7.7
Attack vector: remote (network-reachable) / no user interaction
Attack surface: POST /api/ai/tables
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
SSRF (CWE-918) exists in Budibase. Attackers reach the vulnerable code path via POST /api/ai/tables.
Check the vendor advisory for the affected versions of Budibase. Attack surface: POST /api/ai/tables.
Severity: High (CVSS 7.7/10). Confidential information can be exposed externally.
Update to the patched release per vendor advisory.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual POST /api/ai/tables requests with malformed payloads or SQL meta-characters. Run grep -r 'Budibase' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
-
1Identify exposure identify
grep -r 'Budibase' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で
Budibaseを grep し、稼働しているサービス・バージョンを把握する。 -
2Hunt for indicators of compromise detect
grep 'POST /api/ai/tables' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'アクセスログで
POST /api/ai/tablesへの異常なリクエスト (不正な認証ヘッダ・SQLメタ文字)を過去 30〜90日分捜索。WAF/SIEM があれば該当パスのアラート発火履歴を確認。 -
3Post-deployment verification verify
Replay attack against POST /api/ai/tables on staging to confirm patch closes the vectorパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番では Step 2 と同じログクエリでアラート再発が無いか継続監視。
References
- web github.com
- web vulncheck.com
- web nvd.nist.gov
- web github.com