External risk intelligence

IBM Langflow OSS Improper Authentication Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-93680

IBM Langflow is an open-source visual framework for building LLM applications. Such tools are commonly deployed as web-based interfaces or API services intended for user interaction, making them frequently accessible over a network or the internet for development, testing, and application hosting purposes.

Authentication Bypass

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 advisory concerns a critical vulnerability in IBM Langflow OSS, a visual framework for building AI applications. The issue, related to improper authentication, could allow unauthorized remote access to the system. The main concern is confirming the relevance and exposure of this technology within our environment.

Flaw lets unauthorized users bypass security.
Important for AI development tools.
Verify if we use this AI platform.

Attack Path

How an attacker could exploit the issue

An attacker could exploit this vulnerability by sending specially crafted requests over the network to an exposed IBM Langflow instance. Because the system lacks proper authentication, the attacker can bypass these checks and trigger the vulnerability, potentially leading to unauthorized access and modification of data.

No authentication required.
Remote network access.
Bypass security, gain unauthorized access.

Live Threat

Current exploitation, exposure, and threat context

When supported by the advisory, IBM Langflow OSS could permit a remote attacker to bypass security controls, potentially impacting system integrity and confidentiality due to improper authentication.

System data and service integrity
Via network access without authentication
Unauthorized access and control

Operational Fix

Recommended remediation, mitigation, and detection steps

Given that IBM Langflow OSS is an open-source framework often deployed as a web interface or API service, the primary responsibility for addressing this vulnerability likely falls on the teams managing application deployments and infrastructure. The first practical step is to identify all instances of IBM Langflow, confirm their network exposure and business criticality, and then assign an accountable owner to plan remediation.

Application and infrastructure teams own this.
Verify network exposure and business criticality.
Plan remediation based on identified risk.

Supplementary metadata

CVSS vector

Validate whether this threat affects your internet-facing exposure.

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Frequently asked questions

What is IBM Langflow OSS?

IBM Langflow OSS is an open-source, visual development framework used to build and host applications powered by Large Language Models (LLMs). It typically provides a web-based interface or API service, allowing developers to construct AI workflows and interact with model services, making it a common utility for AI prototyping and application deployment.

What does improper authentication mean for CVE-2026-93680?

This vulnerability falls under the CWE-287 weakness class, meaning the software fails to correctly verify the identity of a user or system. In the context of this CVE, the security checks intended to gate access are bypassed, allowing an unauthenticated remote attacker to interact with the application as if they were a legitimate, authorized user.

How can an attacker trigger this vulnerability?

An attacker triggers the flaw by sending specially crafted network requests to the IBM Langflow instance. The vulnerability does not require the attacker to have valid credentials or prior access; the system's failure to enforce authentication allows these requests to bypass security restrictions automatically. It is not triggered by standard, authorized application usage.

Do I need to worry about this if my instance is internal?

While the Halo Surface Signal classifies this as an external threat due to the nature of web-based LLM tools, internal instances are still at risk. If your instance is accessible over any network, an attacker with reach to that network can exploit it. You should prioritize instances based on where they are reachable and what data they handle, regardless of whether they face the public internet.

What should I do first to address this CVE?

Your first step is to perform an inventory to locate all instances of IBM Langflow OSS running within your environment. Once identified, evaluate the network connectivity and business importance of each instance. Finally, assign a clear owner for each deployment to manage the remediation process and track the application of necessary updates once they become available.

References

www.ibm.com/support/pages/node/7294467

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.