GPU VulnDB

Database/AI/ML frameworks & serving

Langflow: incomplete filtering of Docker volume and device arguments exposes host files from a flow

CVSS 8.8CVE-2026-17626AI/ML frameworks & servingcurated

Impact

Langflow's filtering of arguments passed to Docker-based MCP servers misses dangerous volume-mount and device-mapping options, so an authenticated user who can build or edit a flow can mount arbitrary host paths - or map host devices - into the container it launches and then read or modify them. On a GPU node that reaches the kubelet and container runtime sockets, service-account tokens, model and dataset volumes, and the accelerator device nodes themselves, which is a path out of the Langflow tenant and onto the node. Anywhere Langflow is offered to more than one team, its own login is the only thing standing between a user and host filesystem access. Affects 1.0.0 through 1.10.3.

Who can reach it

An authenticated Langflow user with permission to create or modify flows that configure a Docker-based MCP server. No host access is needed beforehand; the Langflow service account's Docker access is what gets abused.

What to do

Apply the fix referenced in IBM's bulletin for Langflow OSS - the record states the issue spans 1.0.0 through 1.10.3 but names no fixed version, so take the version from the IBM page rather than assuming one - and restart the Langflow service. As a mitigation, deny Langflow access to the Docker socket, run it without privileges to create containers, and restrict flow-authoring permissions to trusted users.

References

Related entries

All AI/ML frameworks & serving entries

This entry is curated: imported from vendor advisories with machine assistance, not yet individually verified. Confirm against your vendor's advisory before acting, and report anything wrong.