Federal Emergency Alert CISA Adds Critical IBM Langflow RCE (CVE-2026-9198) to KEV Catalog

🛡️ Verified Threat IntelDigitalSpying Research Desk
📅 August 6, 2026⏱️ 3 min read

Federal Emergency Alert: CISA Adds Critical IBM Langflow RCE (CVE-2026-9198) to KEV Catalog

Executive Summary

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) issued an urgent security warning on August 5, 2026, adding a max-severity remote code execution flaw in IBM Langflow OSS (CVE-2026-9198, CVSS 9.8) to its Known Exploited Vulnerabilities (KEV) catalog. Langflow—a widely adopted open-source framework used to visually construct AI agent workflows and LLM pipelines—suffers from an API chaining flaw that allows unauthenticated remote attackers to execute arbitrary Python code directly on host servers. Active in-the-wild exploitation has prompted CISA to issue a mandatory remediation directive (BOD 26-04) requiring all federal agencies and enterprise defenders to patch or isolate default deployments immediately.

Technical Analysis of the Langflow RCE Chaining Vector

The vulnerability combines two distinct logic flaws within Langflow's REST API execution layer:

1. Endpoint Unauthenticated Superuser Token Generation

The initial entry vector abuses an insecure auto-login REST API endpoint:

* The Vulnerability: In default Langflow OSS deployments prior to version 1.10.1, calling the auto-login endpoint (/api/v1/auto_login) generates valid superuser JSON Web Tokens (JWT) for any network caller without checking credentials.

* Token Harvest: Remote attackers send an unauthenticated GET request to receive a bearer token carrying full administrative permissions across the Langflow platform.

2. Arbitrary Python Code Validation Execution

Equipped with the superuser token, attackers target the internal code validation pipeline:

* Payload Execution: Attackers transmit HTTP POST requests containing raw, malformed Python scripts to the /api/v1/validate/code endpoint.

* Host RCE: The endpoint passes the incoming code directly to exec() routines on the underlying OS host without sandbox containerization, granting attackers unauthenticated shell access with the privileges of the Langflow worker process.

Attribute

Technical Detail

Vulnerability Identifier

CVE-2026-9198 (CVSS 9.8 - Critical)

Target Application

IBM Langflow OSS (Visual AI Agent Framework)

Impacted Versions

Langflow OSS builds prior to version 1.10.1

Fixed Version

Langflow OSS Version 1.10.1 (Released July 2026)

CISA KEV Listing Date

August 5, 2026

Primary Threat

Unauthenticated Remote Code Execution, AI Model Infrastructure Takeover

Security Vulnerabilities in AI Agent Pipeline Infrastructure

The active exploitation of Langflow OSS highlights the expanding attack surface surrounding enterprise AI infrastructure. As organizations rapidly deploy visual workflow builders and agentic AI tools, administrative web portals and Python execution engines are frequently exposed directly to local networks or the internet without enterprise-grade authentication.

When AI orchestration frameworks execute un-sanitized code with elevated system privileges, a single API flaw enables attackers to compromise underlying cloud servers and harvest proprietary model weights.

Recommendations and Mitigations

All AI development teams, data scientists, and SOC teams managing Langflow OSS deployments must enforce immediate containment controls:

1. Upgrade Langflow OSS to Version 1.10.1 Immediately: Apply the official patch released by IBM to eliminate auto-login token generation and disable un-sanitized code validation endpoints.

2. Disable Default Auto-Login Configurations: Verify that LANGFLOW_AUTO_LOGIN=False is explicitly set in production environment variables to prevent unauthenticated bearer token issuance.

3. Isolate AI Orchestration Frameworks Inside Air-Gapped Containers: Run Langflow host processes inside restricted, non-root Docker containers with strict outbound egress filtering to prevent reverse shell callbacks.

4. Audit API Execution Logs for Anomalous Bearer Tokens: Inspect web server logs for suspicious requests targeting /api/v1/auto_login and /api/v1/validate/code endpoints.

Classification:Cyber Security IntelligenceZero-Day AnalysisDefensive Engineering
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