External risk intelligence

IBM Langflow OSS Hard-Coded Credentials Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-13446

IBM Langflow is an open-source visual development tool for LLM applications. These platforms are commonly deployed as web-based interfaces or API endpoints intended for user access and interaction, frequently resulting in internet-facing configurations in development or production environments.

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, an open-source tool for developing AI applications, due to the presence of hard-coded credentials. This means sensitive information like passwords or keys were embedded directly into the software, which could potentially be accessed by unauthorized individuals. The primary concern at this time is to confirm if this specific technology is in use within the organization and to understand the scope of any potential exposure.

  • Embedded credentials in AI development software.
  • Confirms usage and assesses potential exposure.
  • Ensure AI tools adhere to secure credential management.

Attack Path

How an attacker could exploit the issue

An attacker could reach IBM Langflow by leveraging its network exposure. By identifying and accessing the hard-coded credentials within the software, an attacker could gain unauthorized access for various purposes. This could lead to significant compromise, impacting confidentiality, integrity, and availability.

  • No authentication required to access.
  • Exploits hard-coded credentials.
  • High impact on confidentiality and integrity.

Live Threat

Current exploitation, exposure, and threat context

IBM Langflow OSS, when deployed with hard-coded credentials, could expose sensitive information and allow unauthorized access to system functions. These hard-coded credentials, used for authentication or communication, may become accessible when the software is exposed to a network.

  • System credentials and internal data.
  • Network access to the application.
  • Unauthorized access and data compromise.

Operational Fix

Recommended remediation, mitigation, and detection steps

The presence of hard-coded credentials in IBM Langflow OSS indicates a critical vulnerability requiring immediate attention from teams managing the application and its underlying infrastructure. The first practical step is to inventory all instances of IBM Langflow OSS, determine their exposure to the network, and identify business-critical deployments. Once identified, the accountable application or platform owner must be engaged to plan and execute remediation.

  • Identify and confirm ownership of the application.
  • Verify network exposure and business criticality.
  • Plan remediation based on identified risk.

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 an open-source visual development platform designed for building applications powered by large language models. It provides a graphical interface that developers use to orchestrate complex AI workflows, integrate data sources, and manage interactions with LLMs.

What does CVE-2026-13446 mean by hard-coded credentials?

This vulnerability, classified as CWE-798, occurs when software developers embed passwords or cryptographic keys directly into the application's source code or configuration files. Because these secrets are baked into the software rather than managed dynamically, they remain static, making them discoverable to anyone who can inspect the application files.

How can an attacker trigger this vulnerability?

An attacker exploits this by discovering the embedded secrets to authenticate as a legitimate user or system component. Simply having network reach to the application is sufficient, as the flaw does not require any prior user interaction or successful login to discover the credentials. However, the issue is specific to the presence of these hard-coded values; it is not triggered by typical user inputs or legitimate API usage patterns.

Is my IBM Langflow instance at risk?

According to Halo Surface Signal, this software is frequently deployed as a web interface or API endpoint, often making it internet-facing. If your instance is reachable over the network, it faces a higher probability of exposure to external attackers. You should prioritize assessing any instances that are accessible outside of restricted internal networks.

Do I need to take action if I run this software?

Yes, you should begin by creating a comprehensive inventory of all IBM Langflow OSS deployments in your environment. Confirm which teams own these instances and determine their network reachability. Once you have identified where the software is running and its role in your business operations, coordinate with the platform owners to plan for the necessary updates or security configuration changes.

References