Langflow Remote Code Execution via Untrusted Functionality Inclusion
First seen Jul 22, 2026 · Updated Jul 22, 2026
Langflow, a widely used visual builder for LLM/agent workflows, contains a vulnerability allowing remote attackers to execute arbitrary code by including functionality from an untrusted control sphere. This has been added to CISA's Known Exploited Vulnerabilities catalog, indicating active exploitation in the wild, with a very short remediation window (3 days from add date to due date). Because Langflow is often used to orchestrate AI agents and connect them to tools and data sources, compromise of the platform can lead to full takeover of downstream agent pipelines and connected systems.
Technical Analysis
The vulnerability stems from Langflow loading or executing functionality (likely code, components, or modules) from a control sphere that is not properly trusted or validated, allowing an attacker to smuggle in malicious code that the application then executes with the privileges of the Langflow server process. The entry point is likely an exposed API endpoint, component-loading mechanism, or flow-import feature that fails to sandbox or authenticate the source of included functionality. Given Langflow's role as an orchestration layer for AI agent pipelines, successful exploitation grants the attacker code execution on the host, which can be leveraged to exfiltrate credentials/API keys used by connected agents and tools, pivot to any MCP servers, vector stores, or downstream systems reachable from that host, and potentially poison or hijack agent workflows built on the platform. This is a framework-level vulnerability rather than a logic-layer prompt injection, but it directly undermines the trust boundary between the orchestration layer and every agent/tool it manages.
Affected Systems
Langflow
Detection Signatures
- Unexpected outbound network connections from Langflow host processes
- Unusual child processes spawned by the Langflow server (e.g., shell interpreters, reverse shells)
- Unauthenticated or anomalous requests to Langflow API/component-loading endpoints
- Unexpected modification or creation of custom components/flows outside normal admin activity
- Spikes in CPU/network usage correlated with flow import or component execution events
- Presence of unfamiliar or obfuscated Python code in imported flow/component definitions
Remediation Steps
- 1
Patch immediately
Apply the vendor-provided fix for this CVE as soon as it is released; treat as emergency given CISA KEV due date and active exploitation.
- 2
Restrict network exposure
Ensure Langflow instances are not exposed directly to the internet; place behind authentication, VPN, or a reverse proxy with strict access controls.
- 3
Audit and rotate credentials
Rotate API keys, tokens, and secrets accessible to or stored within Langflow, assuming potential compromise.
- 4
Review component/flow sources
Audit all imported flows and custom components for unauthorized or untrusted code, and restrict component loading to vetted/internal sources only.
- 5
Monitor host and network activity
Deploy EDR/host monitoring on systems running Langflow and review logs for signs of the detection indicators listed.
- 6
Segment downstream systems
Isolate Langflow hosts from sensitive internal networks, databases, and other agent/tool integrations to limit blast radius if compromised.
CVE / Advisory IDs
Industries Most Exposed
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