CVE-2026-33484 Langflow has Unauthenticated IDOR on Image Downloads

High 7.5 Published Updated

Unauthenticated attackers can download any user's uploaded images by guessing flow IDs, exposing sensitive data in multi-tenant deployments.

Exploited in the wild
Not known
Login needed
Not needed
Attackable
Over the internet
Victim action needed
Not needed
Fix
Available

What is CVE-2026-33484?

CVE-2026-33484 is a high-severity missing authorization vulnerability in Langflow Langflow, published on 24 Mar 2026. An attacker can exploit it over the internet without logging in, with no action from the victim.

Official description

Langflow is a tool for building and deploying AI-powered agents and workflows. In versions 1.0.0 through 1.8.1, the `/api/v1/files/images/{flow_id}/{file_name}` endpoint serves image files without any authentication or ownership check. Any unauthenticated request with a known flow_id and file_name returns the image with HTTP 200. In a multi-tenant deployment, any attacker who can discover or guess a `flow_id` (UUIDs can be leaked through other API responses) can download any user's uploaded images without credentials. Version 1.9.0 contains a patch.

Weakness: CWE-862, CWE-639, CWE-284

Which versions are affected by CVE-2026-33484?

3 open source packages ship an affected version, including langflow. It affects 1 product.

PackageAffectedFixed in
langflow PyPIFrom 1.0.01.9.0
langflow PyPIFrom 1.0.01.9.0
langflow PyPIFrom 1.0.01.9.0

Products include Langflow Langflow.

How do I fix CVE-2026-33484?

Upgrade langflow to 1.9.0 or later.

Upgrade, and check permissions on every request on the server, not only in the interface. More about Missing authorization.

Is CVE-2026-33484 being exploited?

It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-33484 exists.

All Langflow Langflow vulnerabilities

Sources

Also known as GHSA-7grx-3xcx-2xv5, PYSEC-2026-80.

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