External risk intelligence

IBM Langflow OSS OS Command Injection

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-93674

IBM Langflow is a low-code tool for building AI and machine learning workflows. These applications are commonly deployed as web-based interfaces or API services intended for user interaction, making them frequently accessible via public network endpoints or internal web gateways.

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

A critical vulnerability has been identified in IBM Langflow OSS, a tool used for building AI and machine learning workflows. This issue could allow an unauthorized remote attacker to execute arbitrary code, potentially impacting systems that utilize this software. The primary concern is to determine if your organization uses this technology and to what extent.

Flaw lets attackers run unauthorized code.
It affects AI/ML workflow tools.
Confirm use and exposure; understand potential impact.

Attack Path

How an attacker could exploit the issue

An attacker could reach this vulnerability by sending specially crafted input over the network to an exposed IBM Langflow instance. This input would be processed in a way that does not properly neutralize special characters intended for an operating system command. If successful, this could allow an attacker to execute arbitrary code on the system, potentially leading to a complete compromise.

Attacker sends network input.
Special elements in OS command are not neutralized.
Risk of arbitrary code execution.

Live Threat

Current exploitation, exposure, and threat context

When supported, this vulnerability could allow a remote attacker to execute arbitrary code on systems running IBM Langflow OSS due to improper handling of OS commands. This could affect the integrity and availability of the affected service.

System data and service behavior are at risk.
Improper command neutralization enables execution.
Arbitrary code execution impacts system integrity.

Operational Fix

Recommended remediation, mitigation, and detection steps

IBM Langflow OSS is an open-source tool for building AI and machine learning workflows, typically deployed as web interfaces or API services. Real-world ownership likely falls to platform teams or application owners responsible for these deployed services, with network and security teams playing a key role in assessing exposure and coordinating vendor response. The first practical step is to identify all Langflow instances, confirm their accessibility and business criticality, and then engage the accountable owner to plan remediation based on the assessed risk.

Platform or application owners should own the issue.
Verify exposed instances and business criticality.
Plan remediation based on risk assessment.

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 a low-code development tool designed to help users build, orchestrate, and deploy artificial intelligence and machine learning workflows. It provides a visual interface for constructing complex data pipelines and model interactions. Teams typically deploy it as a web-based service or API gateway, enabling developers and data scientists to bridge AI models with operational applications through an accessible browser or programmatic interface.

How does this vulnerability allow code execution?

This flaw is classified as CWE-94, or Improper Control of Generation of Code. In CVE-2026-93674, the software fails to properly filter special characters in user-provided input before passing that input to the underlying operating system. Because the system treats these malicious characters as executable commands rather than plain text, an attacker can trick the server into running unauthorized scripts or system-level instructions.

What triggers the command injection in this CVE?

The vulnerability is triggered when an attacker sends specially crafted network requests containing malicious input to an affected Langflow instance. The bug does not require any specific user interaction or authentication to initiate. It is not triggered by standard usage or legitimate data inputs, but specifically by inputs designed to break out of the intended application context and interact directly with the host OS.

Is my IBM Langflow instance at risk?

According to Halo Surface Signal, instances that are internet-facing or hosted on internal web gateways are at higher risk because they are reachable by unauthorized parties over the network. If your Langflow deployment serves as a web interface or an API service accessible to users outside of a strictly controlled, isolated environment, it is considered more likely to be an entry point for this type of network-based attack.

How should I start responding to CVE-2026-93674?

Begin by auditing your environment to locate all running instances of IBM Langflow OSS, regardless of their perceived importance. Once you have an inventory, coordinate with the platform or application owners to confirm their network accessibility and current usage. Use this information to prioritize which services require immediate attention and track the remediation steps provided by the vendor to secure these specific workflows.

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.