CVE-2026-7873: Langflow RCE Vulnerability

CVE-2026-7873 Overview

CVE-2026-7873 is a code injection vulnerability [CWE-94] affecting IBM Langflow OSS versions 1.0.0 through 1.10.0. Authenticated attackers can execute arbitrary operating system commands and read sensitive files, including stored credentials. Successful exploitation leads to complete system compromise and supports lateral movement across connected environments.

Langflow is a visual framework for building agentic AI workflows and language model pipelines. Its widespread use in AI development environments increases the blast radius of this vulnerability. IBM has published an advisory for the affected releases.

Critical Impact
Authenticated remote attackers can execute arbitrary OS commands, exfiltrate credentials, and pivot into connected systems.

Affected Products

Langflow OSS 1.0.0 through 1.10.0
Deployments integrating Langflow with LLM and agent orchestration pipelines
Environments where Langflow shares credentials with downstream services

Discovery Timeline

2026-06-30 - CVE-2026-7873 published to the National Vulnerability Database (NVD)
2026-07-02 - Last updated in NVD database

Technical Details for CVE-2026-7873

Vulnerability Analysis

CVE-2026-7873 is classified under [CWE-94] Improper Control of Generation of Code. Langflow processes attacker-controlled input in a code execution path without sufficient validation. Authenticated users can craft requests that inject operating system commands executed by the Langflow process.

The attack originates over the network and requires low privileges. No user interaction is needed to trigger the flaw. Because the impact crosses a security scope boundary, the process can affect resources beyond the vulnerable component itself.

Exploitation grants the attacker the ability to read arbitrary files. This includes environment variables, API keys, and service credentials stored by Langflow. Attackers can then reuse those credentials against connected LLM providers, databases, and internal services.

Root Cause

The root cause is improper control over generated code within Langflow's execution pipeline. User-supplied values flow into code or command constructs without safe evaluation or sandboxing. This design pattern allows arbitrary Python or shell semantics to be injected through legitimate authenticated endpoints.

Attack Vector

An authenticated attacker sends crafted payloads to Langflow API endpoints that evaluate or compile user input. The payload executes with the privileges of the Langflow service account. Once execution is achieved, the attacker reads local secret files and pivots to adjacent systems using recovered credentials. See the IBM Support Page for vendor-specific technical details.

Detection Methods for CVE-2026-7873

Indicators of Compromise

Unexpected child processes spawned by the Langflow service account, particularly shells such as /bin/sh, bash, or python -c
Outbound network connections from the Langflow host to unfamiliar destinations following API activity
Access to sensitive files such as .env, ~/.aws/credentials, or id_rsa from the Langflow process

Detection Strategies

Monitor Langflow API request bodies for Python constructs like __import__, eval, exec, or os.system inside flow definitions
Alert on process lineage where Langflow spawns interpreters or system utilities not required for normal operation
Correlate authenticated Langflow sessions with anomalous file reads under credential storage paths

Monitoring Recommendations

Ingest Langflow application logs and host telemetry into a centralized analytics platform for correlation
Baseline normal Langflow child-process behavior and alert on deviations
Track credential usage from Langflow-adjacent identities to detect reuse after potential theft

How to Mitigate CVE-2026-7873

Immediate Actions Required

Upgrade Langflow to a fixed release above 1.10.0 as directed by the IBM Support Page
Rotate all credentials, API keys, and tokens accessible to the Langflow service
Restrict Langflow authentication to trusted users and enforce strong password and MFA policies
Isolate Langflow deployments behind network controls that prevent direct internet exposure

Patch Information

Refer to the IBM Support Page for the vendor advisory and fixed version guidance. Apply the patched Langflow release across all environments running versions 1.0.0 through 1.10.0.

Workarounds

Disable or block Langflow endpoints that evaluate user-supplied code until patching is complete
Run Langflow under a low-privilege service account with no access to production secrets
Deploy Langflow inside a container with a read-only filesystem and restricted egress to limit post-exploitation impact

bash

# Configuration example: run Langflow with a restricted, non-root user and read-only root filesystem
docker run --rm \
  --user 10001:10001 \
  --read-only \
  --cap-drop=ALL \
  --network langflow-restricted \
  -e LANGFLOW_AUTO_LOGIN=false \
  -e LANGFLOW_SUPERUSER=admin \
  langflowai/langflow:latest