External risk intelligence

IBM Langflow OSS Code Execution via Redis Access

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-7871

The vulnerability requires access to an underlying Redis instance. While Langflow is a web-based application, Redis is typically deployed as an internal backend component, not directly exposed to the public internet. Access typically requires chaining with other vulnerabilities or misconfigurations, making broad internet exposure of the vulnerable component less common.

Deserialization

Langflow

1.0.0 to 1.10.0

Halo Surface Signal: 3 out of 5 — possibly public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

This vulnerability in IBM Langflow OSS could allow unauthorized code execution, potentially impacting system integrity and data security if Redis access is compromised. The main concern is confirming relevance and exposure within our environment.

Code execution risk via Redis access.
Affects system integrity and sensitive data.
Confirm relevance and exposure.

Attack Path

How an attacker could exploit the issue

An attacker could exploit this by first gaining access to a Redis instance that is connected to an affected IBM Langflow installation. Once Redis access is established, the attacker can then interact with Langflow to trigger the vulnerability, potentially leading to the execution of arbitrary code and full system compromise.

Requires Redis instance access.
Triggered by interacting with Langflow.
Risk of arbitrary code execution.

Live Threat

Current exploitation, exposure, and threat context

This vulnerability could allow an unauthenticated attacker with Redis access to execute arbitrary code, potentially compromising application secrets, data, and system integrity when supported by the advisory.

Application secrets and data at risk.
Arbitrary code execution via Redis access.
Full application privileges and system compromise.

Operational Fix

Recommended remediation, mitigation, and detection steps

This critical vulnerability in IBM Langflow OSS, allowing arbitrary code execution via Redis access, requires immediate attention from teams responsible for application security and data integrity. The first practical step is to identify all instances of IBM Langflow, determine their reachability (especially concerning Redis access), and confirm their business criticality. Once identified, the accountable system owner must be engaged to assess the exposure and plan the appropriate remediation, which may involve vendor coordination or interim risk reduction measures.

Application owners should lead the response.
Verify Redis access and application reachability.
Plan remediation based on confirmed 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.

Free EASM Trial See How Signal Works

Frequently asked questions

What is IBM Langflow OSS?

IBM Langflow OSS is a visual, open-source tool used to build and orchestrate generative AI workflows and prototypes. It allows developers to drag and drop components to create complex data processing pipelines, often storing state or caching information in a backend database like Redis to support its operations.

What does CWE-502 mean for CVE-2026-7871?

This CVE involves CWE-502, known as Deserialization of Untrusted Data. This happens when an application takes data from a source it does not fully control—in this case, the Redis backend—and reconstructs it without proper validation. Because the application blindly trusts this data, an attacker can manipulate it to force the software to execute malicious commands or arbitrary code.

How does an attacker trigger this vulnerability?

The attack requires the ability to interact with the Redis instance connected to IBM Langflow. By injecting malicious payloads into the data stored in Redis, an attacker can influence the application's behavior when it retrieves that data. It is important to note that simply visiting the Langflow web interface is not enough; the attacker must be able to reach and modify the backend Redis storage first.

Is my IBM Langflow installation reachable from the internet?

According to Halo Surface Signal, while Langflow itself is a web-based application, the vulnerable Redis component is usually hidden as an internal backend service. This means your exposure is lower if your Redis database is not directly accessible from the public internet. However, you should still verify that your internal network segmentation is strong enough to prevent unauthorized access to these backend services.

Do I need to secure my IBM Langflow environment?

Yes, you should begin by creating an inventory of all IBM Langflow deployments in your environment. Prioritize checking how your Redis instances are configured and secured, as these are the primary gateway for this vulnerability. Engage your system owners to review network access controls and coordinate with official support channels to monitor for available updates or hardening guidance.

References

www.ibm.com/support/pages/node/7278443

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.