Vulnerability · Published Mar 24, 2026 · Assigned by GitHub_M

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

High 7.5

In plain English

A high-severity improper access control in langflow from langflow-ai. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 5.9% (higher than 93% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.5High

Exploit odds (30 days)5.9%top 6.7% of all CVEs

Exploited in the wildNo reportsCISA SSVC: poc

Attack toolingNoneno public tooling known

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.

Affected packages & fixed versions

Ecosystem	Package	Fixed in	Advisory
PyPI	langflow	1.9.0	GHSA-7grx-3xcx-2xv5
PyPI	langflow	1.9.0	PYSEC-2026-80

Affected products (as reported)

Vendor	Product	Versions
langflow-ai	langflow	>= 1.0.0, < 1.9.0

Weakness: CWE-284, CWE-639, CWE-862 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

References

https://github.com/langflow-ai/langflow/security/advisories/GHSA-7grx-3xcx-2xv5 x_refsource_CONFIRM