External risk intelligence

IBM Langflow OSS Code Generation Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.9)

CVE-2026-107329

IBM Langflow is a low-code tool for building AI and machine learning workflows. These platforms are commonly deployed as web applications, often intended for access by developers or data scientists across a network, making them frequent candidates for internet-facing or edge-service deployment in organizational 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

IBM Langflow OSS, a tool for building AI and machine learning workflows, has a critical vulnerability that could allow a remote authenticated attacker to execute arbitrary code. This issue stems from improper control of code generation within the platform. While this vulnerability is categorized as critical, its direct business impact hinges on the specific deployment and usage of IBM Langflow within your organization's environment. The primary concern is to confirm its relevance and potential exposure.

  • Code generation flaw allows remote code execution.
  • Critical flaw impacts AI/ML workflow platforms.
  • Confirm relevance and exposure for leadership.

Attack Path

How an attacker could exploit the issue

An attacker with authenticated access could exploit this vulnerability by sending a specially crafted request to the application. This request would target the code generation feature, which improperly handles user input. Successful exploitation could allow the attacker to execute arbitrary code on the affected system, potentially leading to a complete compromise.

  • Authenticated access is required.
  • Improper code generation handling.
  • Arbitrary code execution.

Live Threat

Current exploitation, exposure, and threat context

IBM Langflow OSS, when accessed by an authenticated user, could permit a remote attacker to execute arbitrary code. This could occur if the application improperly controls how code is generated, potentially impacting the integrity and availability of the system and any data it processes.

  • System data and user data could be affected.
  • Improper code generation controls enable exposure.
  • Arbitrary code execution can compromise the system.

Operational Fix

Recommended remediation, mitigation, and detection steps

IBM Langflow OSS, a tool for building AI and machine learning workflows, is likely deployed as a web application accessible across a network, potentially facing the internet. This means that application owners, infrastructure teams, and security teams must collaborate to identify where this technology resides, assess its exposure and business criticality, and plan remediation accordingly. The first practical step involves confirming the presence and reachability of affected systems and identifying the accountable owner to prioritize risk reduction.

  • Application and platform owners should address.
  • Verify system reachability and criticality.
  • Coordinate vendor engagement and plan remediation.

Supplementary metadata

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.

Frequently asked questions

What is IBM Langflow OSS?

IBM Langflow OSS is a low-code software platform used to design and run AI and machine learning workflows. It provides a visual interface for data scientists and developers to build complex data processing pipelines, which are frequently deployed as web-based applications within organizational networks.

What does CWE-94 mean for CVE-2026-107329?

CWE-94 refers to improper control of code generation. In this CVE, it means the software does not sufficiently validate or sanitize user input before using it to generate and run code. Because the application processes this input as instructions, an attacker can manipulate the process to execute unauthorized commands.

How does an attacker trigger this vulnerability?

An attacker triggers this by sending a specially crafted request to the application's code generation feature. Crucially, this requires the attacker to have already authenticated to the system; the bug cannot be triggered by unauthenticated users. Simply viewing or browsing the application without submitting specific malicious payloads does not trigger the execution.

Is my IBM Langflow installation at risk?

According to Halo Surface Signal, this software is often deployed as a web application intended for network access, making it a common candidate for internet-facing or edge-service configurations. If your instance is reachable over the internet or accessible to a wide range of authenticated users, the risk of exploitation is significantly higher.

What should I do first to address this?

Your first step is to locate all instances of IBM Langflow OSS in your environment and identify the accountable owners. Coordinate with your infrastructure and security teams to verify the reachability of these systems and determine their business criticality. Once mapped, prioritize these systems for vendor-provided updates or remediation planning.

References