External risk intelligence

Langflow RAG File Read Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.6)

CVE-2026-55447

Langflow is a tool used for building and deploying AI agents and workflows. These applications are commonly deployed as web interfaces or API services intended to interact with users or external data sources, placing them in an internet-facing position where they are reachable by external actors.

Information Disclosure

Langflow

before 1.9.2

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 details a critical vulnerability in Langflow, a tool used for developing AI agents and workflows. The flaw allows an attacker to potentially access sensitive files on your systems by manipulating specific file inputs. This could have significant implications for data confidentiality and integrity across affected applications.

  • Uncontrolled file access in AI workflow tools.
  • Potential for unauthorized data exposure and manipulation.
  • Confirm relevance and exposure for AI workflow components.

Attack Path

How an attacker could exploit the issue

An attacker could exploit this vulnerability by manipulating files processed by Langflow's RAG components. By controlling the file inputs, an attacker could trick the system into reading any file on the server using its absolute path, potentially leading to significant data exposure and system compromise.

  • Requires control over digested files.
  • Triggers by directing file reads.
  • Risk of reading any file.

Live Threat

Current exploitation, exposure, and threat context

When supported by the advisory, an attacker could exploit this vulnerability to read arbitrary files from the file system by controlling input files destined for RAG processing. This could expose sensitive information contained within those files to the attacker.

  • Arbitrary file system data.
  • Controlled input files processed by RAG.
  • Unauthorized data access and disclosure.

Operational Fix

Recommended remediation, mitigation, and detection steps

In a real-world scenario, teams responsible for AI development platforms and associated infrastructure would likely manage this vulnerability. The first practical step is to identify all deployments of the affected technology, determine their exposure and criticality, pinpoint the accountable application or platform owner, and then prioritize remediation based on risk.

  • Identify affected deployments and owners.
  • Verify RAG component reachability and criticality.
  • Plan remediation or risk reduction.

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 Langflow and why is it used?

Langflow is a software platform designed for developers to build, test, and deploy AI-powered agents and automated workflows. It provides a visual interface and modular components that simplify connecting various data sources—such as documents, videos, or external APIs—into AI systems. Users typically leverage it to create RAG (Retrieval-Augmented Generation) pipelines, where the tool digests files to provide context to a language model.

What is the vulnerability in CVE-2026-55447?

This vulnerability involves an improper restriction of file path access, specifically CWE-61 and CWE-200. It allows an attacker to bypass security controls by providing a crafted path. Instead of only reading the intended data files, the system can be tricked into reading arbitrary files located anywhere on the server's file system using their absolute path.

How can an attacker trigger this file read flaw?

An attacker triggers this issue by controlling the input files processed by the system's RAG components. The bug specifically affects components derived from BaseFileComponent, such as those used for reading documents, NVIDIA retriever extraction, or video files. It is important to note that simply using the software is not enough; the attacker must be able to influence the specific files that the system is instructed to digest or process.

Is my Langflow deployment at risk?

According to Halo Surface Signal, Langflow applications are frequently deployed as internet-facing web services or APIs to interact with users and external data. Because this vulnerability is reachable over a network, any deployment exposed to the internet should be considered at higher risk. Internal-only instances may face less risk, but you should evaluate if your specific configuration allows access from untrusted users.

Do I need to update my Langflow installation?

Yes, you should prioritize updating your software. This vulnerability is resolved in Langflow version 1.9.2. If you are running any version prior to 1.9.2, your system is affected. The immediate next step is to locate all instances of Langflow within your environment, confirm which versions are in use, and plan an upgrade to version 1.9.2 or newer to close this security gap.

References