CVE-2026-88962 Overview
CVE-2026-88962 is a code injection vulnerability in IBM Langflow OSS versions 1.0.0 through 1.12.2. The flaw stems from improper control of code generation [CWE-94], allowing a remote authenticated attacker to execute arbitrary code on the affected system. Langflow is a visual framework for building multi-agent and retrieval-augmented generation (RAG) applications, often deployed in AI/ML pipelines.
An attacker with valid credentials can abuse the code generation functionality to run arbitrary commands in the context of the Langflow process. Successful exploitation compromises the confidentiality, integrity, and availability of the host and any connected AI resources.
Critical Impact
Authenticated attackers can achieve arbitrary code execution against Langflow instances, potentially pivoting into AI model data, API keys, and backend infrastructure.
Affected Products
- IBM Langflow OSS 1.0.0
- IBM Langflow OSS versions 1.0.1 through 1.12.1
- IBM Langflow OSS 1.12.2
Discovery Timeline
- 2026-10-07 - CVE-2026-88962 published to NVD
- 2026-10-07 - Last updated in NVD database
Technical Details for CVE-2026-88962
Vulnerability Analysis
The vulnerability resides in Langflow's handling of user-supplied input that is passed into code generation routines. Langflow allows users to construct flows that compose Python components and prompt templates. When those components dynamically generate or evaluate code without strict controls, attacker-controlled input can be transformed into executable code.
An authenticated user who can submit or modify a flow can craft input that reaches the code generation layer and executes under the Langflow runtime. Because Langflow often runs with access to large language model (LLM) credentials, vector stores, and internal APIs, the blast radius extends beyond the host. Attackers can read environment secrets, tamper with model outputs, or use the server as a pivot into the network.
Root Cause
The root cause is improper neutralization of input used in code generation, classified under [CWE-94]. Langflow does not sufficiently restrict or sandbox the code paths that transform flow definitions into executable Python, allowing attacker-controlled strings to be treated as trusted code at runtime.
Attack Vector
The attack vector is network-based and requires low-privilege authentication. No user interaction is required once the attacker has valid credentials. Any account with permission to create or modify flows can trigger the vulnerable code path. See the IBM Support Page for IBM's technical details.
No verified public proof-of-concept code is available at the time of publication. The vulnerability mechanism follows a common pattern for Langflow-style frameworks: attacker-controlled flow definitions reach a dynamic evaluation routine such as exec or eval without adequate validation.
Stop Remote Code Execution Before It Runs
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Stop Exploit AttemptsDetection Methods for CVE-2026-88962
Indicators of Compromise
- Unexpected child processes spawned by the Langflow service account, especially shells (/bin/sh, /bin/bash) or interpreters (python, curl, wget).
- Outbound network connections from the Langflow host to unfamiliar IPs or domains shortly after flow creation or modification.
- New or modified flow definitions containing Python imports or system calls unrelated to legitimate application logic.
- Access to environment variables, cloud metadata endpoints (169.254.169.254), or secret stores from the Langflow process.
Detection Strategies
- Monitor Langflow API endpoints for POST or PUT requests that modify flow components, correlated with subsequent process execution.
- Alert on python processes spawning operating system utilities when the parent is the Langflow service.
- Inspect application logs for errors or stack traces originating from code generation and template rendering routines.
- Baseline normal Langflow authentication patterns and alert on authenticated sessions originating from new geographies or IP ranges.
Monitoring Recommendations
- Enable verbose audit logging for all authenticated Langflow API activity, including flow create, update, and execute actions.
- Forward Langflow application and host telemetry to a centralized SIEM for correlation with endpoint process events.
- Track egress traffic from AI/ML workload subnets and flag anomalous destinations.
How to Mitigate CVE-2026-88962
Immediate Actions Required
- Upgrade IBM Langflow OSS to a fixed version as instructed on the IBM Support Page.
- Restrict network access to Langflow management interfaces to trusted administrators and jump hosts only.
- Audit all existing Langflow accounts, rotate credentials, and remove inactive or shared accounts.
- Rotate API keys, model provider tokens, and secrets accessible to the Langflow runtime.
Patch Information
IBM has published remediation guidance for CVE-2026-88962. Review the IBM Support Page for the fixed version and upgrade instructions. Apply the vendor-supplied update to all affected Langflow OSS deployments between 1.0.0 and 1.12.2.
Workarounds
- Place Langflow behind an authenticating reverse proxy and enforce multi-factor authentication (MFA) for all users.
- Run Langflow in a hardened container with a non-privileged user, read-only root filesystem, and strict egress filtering.
- Remove flow authoring and editing permissions from users who only need to execute pre-approved flows.
- Disable or isolate custom Python component functionality where it is not operationally required.
# Example container hardening for Langflow deployment
docker run -d \
--name langflow \
--read-only \
--tmpfs /tmp \
--user 10001:10001 \
--cap-drop ALL \
--security-opt no-new-privileges \
--network langflow-isolated \
-p 127.0.0.1:7860:7860 \
langflowai/langflow:<patched-version>
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

