External risk intelligence

IBM Langflow OSS Improper Authorization Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-7664

IBM Langflow is a platform used to build and deploy AI workflows and applications. These environments are commonly deployed as web-based interfaces or API services accessible over a network to facilitate user interaction and integration, making the endpoint potentially reachable in common internet-facing or edge-service deployment patterns.

Authentication Bypass

Langflow

1.0.0 to 1.8.4

Halo Surface Signal: 4 out of 5 — likely to be public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

This critical vulnerability affects IBM Langflow, an open-source platform for building AI workflows, potentially allowing unauthorized access to sensitive project resources and the execution of operations. The main concern is to confirm if this technology is in use and assess any exposure.

Unauthenticated users could access protected resources.
Relevant for AI workflow platforms and data access.
Confirm use and assess potential exposure.

Attack Path

How an attacker could exploit the issue

An attacker can reach protected IBM Langflow OSS project resources and execute operations by exploiting an improper authorization enforcement in the Streamable MCP transport endpoint. This vulnerability allows unauthenticated access, meaning an attacker does not need any prior privileges to exploit this issue.

No authentication required.
Triggered via the transport endpoint.
Leads to unauthorized resource access.

Live Threat

Current exploitation, exposure, and threat context

This vulnerability could allow unauthenticated attackers to access protected resources and execute operations within IBM Langflow OSS when supported by the advisory. This exposure could impact the integrity and availability of the system.

Protected project resources and operations.
Unauthenticated network access to an exposed endpoint.
Unauthorized modification or disruption of AI workflows.

Operational Fix

Recommended remediation, mitigation, and detection steps

This vulnerability in IBM Langflow OSS impacts teams responsible for AI and application development platforms. The first step is to identify all deployments of the affected technology, determine their network reachability and business criticality, and then locate the accountable owner to prioritize remediation efforts.

Application or Platform Engineering teams.
Verify network exposure and critical assets.
Coordinate remediation with system owners.

Supplementary metadata

CVSS vector

Validate whether this threat affects your internet-facing exposure.

Halo Threat Intelligence helps prioritize remediation with Halo Surface Signal and H/A/L/O context. Start exposure validation with a free external attack surface trial.

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Frequently asked questions

What is IBM Langflow OSS?

IBM Langflow OSS is an open-source platform designed for building, managing, and deploying AI-driven workflows and applications. It provides a visual interface and backend services that developers use to orchestrate complex sequences of tasks. Because it serves as a central hub for automation and data processing, it is often deployed as a web interface or an API service accessible over a network to support team collaboration and system integrations.

How does CVE-2026-7664 impact system security?

This vulnerability is classified as CWE-287, which refers to Improper Authentication. In the context of CVE-2026-7664, the software fails to properly verify the identity of a user before granting access to sensitive functions. Specifically, it allows unauthorized parties to bypass security checks and interact with protected Model Context Protocol (MCP) project resources and perform operational commands that should otherwise be restricted.

How is this vulnerability triggered?

The issue is triggered by sending specific network requests to the Streamable MCP transport endpoint within the affected software. Because the system fails to enforce authorization, an attacker does not need any login credentials or pre-existing privileges to reach these internal resources. Simply reaching this specific endpoint over the network is sufficient to initiate the unauthorized operations.

Is my deployment of IBM Langflow at risk?

Halo Surface Signal indicates that IBM Langflow deployments are often set up as internet-facing or edge-service applications to facilitate external integration. If your instance is reachable over a network—especially the public internet—it faces a higher risk of being targeted. You should evaluate whether your instance is accessible from outside your private network perimeter to determine your immediate level of exposure.

What should I do to secure my environment?

Start by identifying all instances of IBM Langflow OSS within your organization and confirming which versions are currently active. Once identified, evaluate the network reachability of each deployment and assess the sensitivity of the AI workflows they manage. Coordinate with the platform owners to limit access to these endpoints while you work to apply necessary security updates provided by the vendor.

References

www.ibm.com/support/pages/node/7277243

Written by Nicholas Merritt

Nicholas Merritt is VP of Security Solutions at Halo Security. With more than 25 years across application security, vulnerability prioritization, and offensive security, he helps teams translate threat data into practical exposure validation and remediation focus. He authors Halo Threat Intelligence CVE advisories using Halo Surface Signal and H/A/L/O context to prioritize internet-facing risk.