Vulnerability in flowise (CVE-2026-46477)
Summary
Vulnerability in flowise (CVE-2026-46477). Successful exploitation can lead to full system takeover. Exploitable via PUT /api/v1/datasets/. Mitigation: upgrade to 3.1.2 or later.
Original description
The description as published by the source.
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, dataset create and update mass-assignment allows cross-workspace dataset takeover. This issue has been patched in version 3.1.2.
Source: GitHub Security Advisories (Global) 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-2026-46477 has been found in flowise.
Attackers can target a specific entry point like PUT /api/v1/datasets/ over the network to misuse the product.
Successful exploitation can lead to full system takeover. CVSS score: 8.8/10.
What to do: upgrade flowise to 3.1.2 or later.
If unsure, ask your IT team or search "flowise CVE-2026-46477" on the vendor's site.
CVE-2026-46477 (flowise) — CWE-915 / CVSS v3 8.8
Attack vector: remote (network-reachable) / no user interaction
Attack surface: PUT /api/v1/datasets/ / workspaceId / createdDate / updatedDate
Patched: 3.1.2 — apply immediately
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.
A vulnerability (CWE-915) exists in flowise. Attackers reach the vulnerable code path via PUT /api/v1/datasets/.
Check the vendor advisory for the affected versions of flowise. Attack surface: PUT /api/v1/datasets/ / workspaceId / createdDate / updatedDate.
Severity: High (CVSS 8.8/10). Successful exploitation can lead to full system takeover.
Update to 3.1.2.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual PUT /api/v1/datasets/ requests with malformed payloads or SQL meta-characters. Run grep -r 'flowise' . 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 'flowise' . | 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
flowise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 'PUT /api/v1/datasets/' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'アクセスログで
PUT /api/v1/datasets/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。 -
3Apply patch patch
Upgrade flowise to 3.1.2ステージング環境で 3.1.2 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスと、Step 2 で見つけた異常検知の続報チェックを含めること。
-
4Post-deployment verification verify
Replay attack against PUT /api/v1/datasets/ 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。
Affected packages
References
- advisory github.com
- advisory nvd.nist.gov
- advisory github.com
- package github.com
- web github.com
- web github.com
- web github.com
- web github.com