CVE-2026-8056: Langflow RCE Vulnerability via Parameter

CVE-2026-8056 Overview

CVE-2026-8056 affects IBM Langflow OSS versions 1.0.0 through 1.10.0. The vulnerability allows authenticated users to override component parameters at runtime through the API. The flaw resides in the parameter filtering mechanism within the apply_tweaks() function. This weakness is classified under [CWE-94] Improper Control of Generation of Code (Code Injection). Attackers with valid credentials can leverage this issue over the network with low attack complexity, achieving high impact on confidentiality, integrity, and availability of the affected system.

Critical Impact
An authenticated attacker can override arbitrary component parameters through the Langflow API, enabling code injection that compromises confidentiality, integrity, and availability of the host running Langflow.

Affected Products

IBM Langflow OSS 1.0.0 through 1.10.0
Deployments running on Linux, macOS, and Microsoft Windows
Any application embedding the vulnerable apply_tweaks() component pipeline

Discovery Timeline

2026-07-17 - CVE-2026-8056 published to the National Vulnerability Database (NVD)
2026-07-23 - Last updated in NVD database

Technical Details for CVE-2026-8056

Vulnerability Analysis

Langflow is a visual framework for building language model workflows. Components in Langflow expose parameters that are wired together at design time. The API accepts runtime overrides, known as tweaks, that adjust these parameters before graph execution. The apply_tweaks() function is responsible for filtering which parameters an authenticated caller may modify.

The filtering logic fails to enforce an allowlist over sensitive or code-bearing parameters. As a result, an authenticated user can inject values that alter component behavior beyond intended configuration. When the modified graph executes, the injected content is interpreted as code within the Langflow runtime process, leading to code injection under [CWE-94].

Root Cause

The root cause is inadequate input validation and missing parameter allowlisting inside apply_tweaks(). The function trusts caller-supplied keys and values without verifying whether the target parameter is safe to override at runtime. Parameters that feed executable code paths or component initialization logic are not segregated from benign display or metadata fields.

Attack Vector

Exploitation requires network access to the Langflow API and valid low-privilege credentials. The attacker submits a crafted API request containing tweak values for a targeted flow. The malicious tweak overrides a parameter that influences code generation or execution during graph runtime. Once the flow runs, the injected payload executes in the context of the Langflow service account, granting the attacker control over the server process.

No verified public proof-of-concept was available at the time of publication. The vulnerability is not listed on the CISA Known Exploited Vulnerabilities catalog, and the EPSS probability is 0.294%. Refer to the IBM Support Page for vendor-supplied technical details.

Detection Methods for CVE-2026-8056

Indicators of Compromise

API requests to Langflow endpoints containing tweaks payloads referencing internal component parameters not exposed in the UI
Unexpected child processes spawned by the Langflow service, such as shells, interpreters, or outbound network utilities
New or modified flow definitions created by low-privilege user accounts outside normal working hours
Outbound connections from the Langflow host to unfamiliar IP addresses or command-and-control infrastructure

Detection Strategies

Enable verbose API logging on the Langflow server and audit all requests that include tweaks parameters against a known-good baseline
Correlate authenticated API calls with subsequent process creation events on the host to identify anomalous execution originating from the Langflow runtime
Alert on Langflow process activity that deviates from the expected Python interpreter workload, such as invocation of sh, bash, cmd.exe, or powershell.exe

Monitoring Recommendations

Forward Langflow application logs and host telemetry to a centralized SIEM for cross-source correlation
Track authentication events for Langflow accounts and flag privilege changes or newly created API tokens
Monitor egress network traffic from Langflow hosts and alert on connections to non-approved destinations

How to Mitigate CVE-2026-8056

Immediate Actions Required

Upgrade Langflow to a fixed release above 1.10.0 as directed by the IBM Support Page
Restrict network access to the Langflow API using firewalls, reverse proxies, or service mesh policies so only trusted clients can reach it
Rotate all Langflow user credentials and API tokens, especially for low-privilege accounts that could be abused for authenticated exploitation
Review existing flows and audit logs for signs of unauthorized parameter overrides prior to patching

Patch Information

IBM has published guidance for CVE-2026-8056 on the IBM Support Page. Administrators should apply the vendor-recommended Langflow OSS release that corrects the apply_tweaks() parameter filtering behavior. Validate the upgrade in a staging environment before promoting to production.

Workarounds

Place Langflow behind an authenticating reverse proxy and enforce multi-factor authentication for all users with API access
Disable or restrict use of the tweak API surface where feasible until the patch is deployed
Run Langflow as a non-privileged operating system user inside a hardened container to contain the impact of successful code injection
Apply strict role-based access control so only vetted operators can create or modify flows

bash

# Configuration example: restrict Langflow API exposure with a firewall allowlist
# Replace TRUSTED_CIDR with your management network range
iptables -A INPUT -p tcp --dport 7860 -s TRUSTED_CIDR -j ACCEPT
iptables -A INPUT -p tcp --dport 7860 -j DROP

# Run Langflow as a non-root user inside a container
docker run --rm \
  --user 1000:1000 \
  --read-only \
  --cap-drop=ALL \
  --network=langflow-net \
  -p 127.0.0.1:7860:7860 \
  langflowai/langflow:latest