External risk intelligence

IBM Langflow Arbitrary Code Execution Vulnerability.

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-104334

IBM Langflow is a low-code tool for building AI and machine learning workflows. These platforms are commonly deployed as web applications or API-accessible services to facilitate remote collaboration and integration, making them frequently exposed to network access in real-world environments.

Code Injection

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 tool for building AI and machine learning workflows. The flaw could allow unauthorized remote code execution, posing a significant risk if the affected technology is exposed to the internet. The primary concern is to confirm whether our organization uses this specific software and, if so, to what extent.

Flaw allows remote code execution.
Critical for AI/ML workflow tools.
Confirm use and exposure immediately.

Attack Path

How an attacker could exploit the issue

An attacker could target IBM Langflow OSS by sending specially crafted input over the network. This input would be processed by the component responsible for code generation, leading to the execution of arbitrary code on the affected system.

No access needed for attacker.
Vulnerable code generation feature.
Arbitrary code execution.

Live Threat

Current exploitation, exposure, and threat context

A critical vulnerability in IBM Langflow OSS could permit remote attackers to execute arbitrary code by exploiting improper control over code generation when supported. This could affect the integrity and availability of systems running the affected software.

Code execution on affected systems.
Via network-initiated improper code generation.
Potential for system compromise and data loss.

Operational Fix

Recommended remediation, mitigation, and detection steps

Application owners and platform teams are most likely responsible for addressing this vulnerability in IBM Langflow OSS, as it affects a tool used for building AI workflows that are often deployed as web applications or API-accessible services. The first practical step is to identify all instances of the affected technology, determine their exposure and criticality, and then plan remediation based on this risk assessment.

Identify affected application instances.
Verify network exposure and business criticality.
Plan remediation based on risk.

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 a low-code software platform designed to help developers and data scientists visually construct AI and machine learning workflows. It simplifies the integration of complex data processing pipelines and model interactions. Organizations typically deploy it as a web-based application or an API-accessible service to enable collaborative development and model orchestration.

What does arbitrary code execution mean for CVE-2026-104334?

This vulnerability relates to CWE-94, which is the improper control of code generation. In plain terms, the software fails to properly sanitize or restrict user-provided input before using it to generate and run code. An attacker can exploit this weakness to send malicious instructions that the system then executes as if they were legitimate commands, potentially granting the attacker unauthorized control over the software's underlying operations.

How does an attacker trigger this vulnerability?

An attacker triggers this flaw by sending specially crafted input over the network to the affected IBM Langflow OSS system. The vulnerability specifically targets the component responsible for processing and generating code. It is important to note that the attacker does not need prior access, credentials, or user interaction to initiate this process; simply reaching the service via the network is sufficient to leverage the flawed code generation logic.

Is my IBM Langflow installation at risk?

According to Halo Surface Signal, risk is elevated if your instance is internet-facing. Because Langflow is designed for collaboration, these platforms are frequently deployed as web services accessible over a network. If your instance is reachable from the public internet, it falls into the 'external' classification, making it a higher priority for verification compared to services confined to a strictly protected internal network.

What should I do if I use IBM Langflow OSS?

Your first step is to inventory your environment to locate all running instances of IBM Langflow OSS. Once identified, evaluate the network accessibility and business criticality of each instance. Coordinate with your application owners or platform teams to assess the risk level of these specific deployments and prioritize them for remediation according to your organization's established vulnerability management lifecycle.

References

www.ibm.com/support/pages/node/7290694

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.