CVE-2026-0770: Langflow RCE — Detection and Hardening for Active Exploitation

On July 21, 2026, CISA added CVE-2026-0770 to the Known Exploited Vulnerabilities (KEV) catalog, confirming that threat actors are actively exploiting a critical flaw in Langflow, a popular open-source visual framework for building LangChain applications. This vulnerability is classified as an "Inclusion of functionality from untrusted control sphere," effectively resulting in Remote Code Execution (RCE) on affected installations.

For organizations leveraging Langflow to design and manage AI workflows, this is a critical event. The active exploitation status means this is not a theoretical risk; adversaries are likely scanning for exposed instances to deploy reverse shells, steal API keys, or move laterally into data science environments. Defenders must assume compromise if unpatched instances are exposed to the internet and must act immediately to contain the threat.

Technical Analysis

Vulnerability: CVE-2026-0770 Affected Product: Langflow (Langflow Langflow) Vulnerability Type: Inclusion of Functionality from Untrusted Control Sphere (CWE-829) Impact: Remote Code Execution (RCE)

Langflow allows users to visually construct LLM flows. The vulnerability arises because the application insecurely incorporates functionality—likely through deserialization of untrusted data or unsafe dynamic imports—derived directly from user input or an untrusted control sphere. By sending a specially crafted payload to a susceptible endpoint, a remote, unauthenticated attacker can manipulate the application logic to execute arbitrary code on the host system.

Given that Langflow is typically deployed in containerized environments (Docker) or directly on development servers, a successful exploit grants the attacker the same privileges as the Langflow process. In production environments, this often leads to:

1. Container Escape: If the container is misconfigured (e.g., running as root).
2. Credential Theft: Accessing environment variables containing OpenAI, Anthropic, or vector database keys.
3. Supply Chain Compromise: Poisoning AI models or flows used by downstream applications.

Exploitation Status: Confirmed Active Exploitation in the wild (CISA KEV).

Detection & Response

Detecting this vulnerability requires identifying the anomalous execution patterns that result from the successful exploitation of the deserialization/import mechanism. The primary indicator is the Langflow parent process (typically Python/Uvicorn) spawning unexpected shells or network utilities.

Sigma Rules

---
title: Suspicious Shell Spawn from Langflow Python Process
id: 8a4b2c1d-9e6f-4a3b-8c2d-1e5f6a7b8c9d
status: experimental
description: Detects when a Python process (typically Langflow/Uvicorn) spawns a shell (sh/bash), indicating potential RCE via CVE-2026-0770.
references:
 - https://www.cisa.gov/known-exploited-vulnerabilities-catalog
author: Security Arsenal
date: 2026/07/22
tags:
 - attack.execution
 - attack.t1059.004
logsource:
 category: process_creation
 product: linux
detection:
 selection:
   ParentImage|endswith:
     - '/python'
     - '/python3'
     - '/uvicorn'
   ParentCommandLine|contains:
     - 'langflow'
 selection_suspicious:
   Image|endswith:
     - '/sh'
     - '/bash'
     - '/zsh'
     - '/dash'
 condition: selection and selection_suspicious
falsepositives:
 - Legitimate administrative debugging by developers
level: high
---
title: Langflow Process Spawning Network Utilities
id: 9b5c3d2e-0f7g-5b4c-9d3e-2f6a7b8c9d0e
status: experimental
description: Detects Langflow spawning network scanning or exfiltration tools (curl, wget, nc) often used post-exploitation.
references:
 - https://www.cisa.gov/known-exploited-vulnerabilities-catalog
author: Security Arsenal
date: 2026/07/22
tags:
 - attack.command_and_control
 - attack.t1071.001
logsource:
 category: process_creation
 product: linux
detection:
 selection:
   ParentImage|endswith:
     - '/python'
     - '/python3'
   ParentCommandLine|contains:
     - 'langflow'
 selection_tools:
   Image|endswith:
     - '/curl'
     - '/wget'
     - '/nc'
     - '/ncat'
 condition: selection and selection_tools
falsepositives:
 - Legitimate API calls from within a custom flow (rare for child process)
level: high

KQL (Microsoft Sentinel / Defender)

Hunts for Linux processes where the parent is Langflow and the child is a suspicious binary.

DeviceProcessEvents
| where Timestamp > ago(7d)
| where InitiatingProcessFileName in~ ("python", "python3", "uvicorn")
| where InitiatingProcessCommandLine contains "langflow"
| where FileName in~ ("sh", "bash", "dash", "curl", "wget", "nc", "python")
| project Timestamp, DeviceName, AccountName, InitiatingProcessCommandLine, FileName, CommandLine
| order by Timestamp desc

Velociraptor VQL

Hunts for process anomalies on endpoints potentially running Langflow.

-- Hunt for suspicious child processes of Langflow
SELECT Pid, Name, CommandLine, Exe, Username, Parent.Pid AS ParentPid, Parent.Name AS ParentName, Parent.CommandLine AS ParentCmd
FROM pslist()
WHERE Parent.Name =~ "python"
  AND Parent.CmdLine =~ "langflow"
  AND Name IN ("sh", "bash", "curl", "wget", "nc", "python3")

Remediation Script (Bash)

This script checks for running Langflow instances, identifies the image version, and verifies exposure.

#!/bin/bash

# Langflow CVE-2026-0770 Response Script
# Checks for running Langflow containers and suggests actions

echo "[+] Checking for running Langflow containers..."

LANGFLOW_CONTAINERS=$(docker ps --filter "ancestor=langflowai/langflow" --format "{{.ID}}")

if [ -z "$LANGFLOW_CONTAINERS" ]; then
    echo "[-] No running Langflow containers found via standard image name."
    echo "[!] Checking for processes named 'langflow' on host..."
    pgrep -a langflow
else
    echo "[!] Found running Langflow containers. Immediate action required."
    echo "------------------------------------------------"
    echo "$LANGFLOW_CONTAINERS" | while read -r CONTAINER_ID; do
        echo "Container ID: $CONTAINER_ID"
        docker inspect --format='{{.Config.Image}}' "$CONTAINER_ID"
        docker port "$CONTAINER_ID"
        echo "------------------------------------------------"
    done
    echo "[ACTION REQUIRED] 1. Update to the latest patched version of Langflow immediately."
    echo "[ACTION REQUIRED] 2. Ensure containers are NOT exposed to 0.0.0.0. Bind to localhost or use VPN."
    echo "[ACTION REQUIRED] 3. Restart container: docker restart <container_id> (only after update)"
fi

echo "[+] Done."

Remediation

1. Patch Immediately: Apply the vendor-supplied patches for CVE-2026-0770. Discontinue use of the product if mitigations are unavailable, as per CISA BOD 26-04.
2. Network Isolation: Ensure Langflow instances are not accessible directly from the internet. Place them behind a VPN, an Identity-Aware Proxy (IAP), or strictly allowlisted IP ranges. Do not bind the service to 0.0.0.0 unless absolutely necessary and proxied by a secure WAF.
3. CISA Compliance: Under Binding Operational Directive (BOD) 26-04, federal agencies have a specific deadline to remediate this vulnerability. Private sector entities should treat this timeline as a best practice benchmark for urgent remediation.
4. Forensic Triage: If exploitation is suspected, isolate the host and review logs for the specific process execution patterns detailed in the Detection section. Assume that API keys and secrets stored in environment variables on the compromised host are compromised and rotate them immediately.
5. Vendor Advisory: Refer to the official Langflow repository or vendor communication for the specific patched version numbers (e.g., v1.x.y or later).

Related Resources

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