External risk intelligence

IBM Langflow OSS Improper Authorization Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-7663

IBM Langflow is an application development tool often deployed as a web-based service or API endpoint. As a framework for building and hosting AI workflows, it is commonly exposed as a network-reachable web interface or service, making the transport endpoint susceptible to public internet access in many standard deployments.

Langflow

1.0.0 to before 1.10.0

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

A critical vulnerability has been identified in IBM Langflow, an open-source tool used for building AI applications. This issue could potentially allow unauthorized access to sensitive project resources and the execution of operations without proper authentication. The main concern is to confirm if our environment utilizes this specific technology.

Unauthenticated access to protected resources.
Confirms relevance and exposure in our environment.
Assess potential impact to IBM Langflow usage.

Attack Path

How an attacker could exploit the issue

An attacker could exploit this vulnerability by sending specially crafted requests to the Streamable MCP transport endpoint. This bypasses authorization controls, allowing unauthorized access to protected project resources and the execution of sensitive operations. The vulnerability stems from improper authorization enforcement within the affected component.

Requires unauthenticated network access.
Triggered by requests to the transport endpoint.
Risk of unauthorized access and operation execution.

Live Threat

Current exploitation, exposure, and threat context

This vulnerability could allow unauthenticated attackers to access protected project resources and execute operations within IBM Langflow OSS when supported by the advisory.

Protected project resources and operations.
Via a network-accessible transport endpoint.
Unauthorized access to sensitive information.

Operational Fix

Recommended remediation, mitigation, and detection steps

IBM Langflow OSS, a tool for building and hosting AI workflows, is likely managed by application owners, platform teams, or infrastructure teams depending on how it's deployed. The initial step should be to pinpoint all instances of this technology, assess their reachability and business criticality, identify the accountable owners, and then prioritize remediation efforts.

Application or platform owners should manage.
Verify network exposure and business impact.
Plan and execute remediation or mitigation.

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 framework designed for building, testing, and hosting complex AI workflows. Developers and data scientists use it as a visual interface or API backend to manage how data moves through AI models. Because it acts as an application development tool, it is frequently set up as a web-accessible service, providing a centralized environment where users interact with project resources and operational tasks.

How does CWE-285 relate to CVE-2026-7663?

CWE-285 refers to improper authorization, which occurs when a system fails to verify whether a user is allowed to perform a specific action. In the context of CVE-2026-7663, this means the software does not properly check credentials before granting access to protected project resources. As a result, the system mistakenly treats unauthorized requests as legitimate, allowing them to proceed as if the user had proper permission.

What triggers this vulnerability?

An attacker triggers this flaw by sending specifically crafted network requests to the Streamable MCP transport endpoint. This endpoint is intended to handle internal project operations, but the vulnerability allows these requests to bypass security checks. Notably, this does not require a valid user account or password; the vulnerability is triggered solely by reaching the endpoint with the correct request structure.

Is my IBM Langflow instance at risk?

According to Halo Surface Signal, instances that are reachable via the public internet are at higher risk because they are directly exposed to unauthenticated network requests. If your IBM Langflow service is hosted as a web-based interface or API endpoint, it is inherently more susceptible to this flaw. You should prioritize assessing instances that reside on network segments accessible from outside your internal environment.

What are the first steps to address this?

Start by identifying all deployed instances of IBM Langflow OSS within your organization. Once you have a complete inventory, verify the network reachability of each instance to determine if it is exposed to untrusted traffic. Engage the application or platform owners to review the usage of these tools and coordinate an assessment of business criticality, ensuring that any remediation or security updates are applied to the most exposed systems first.

References

www.ibm.com/support/pages/node/7277570

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.