CVE-2026-0771

7.1 HIGH

📋 TL;DR

This vulnerability allows remote attackers to execute arbitrary Python code on Langflow installations through Python function components. Attackers can inject malicious code into workflows, potentially gaining full control of affected systems. All Langflow deployments using vulnerable versions are affected.

💻 Affected Systems

Products:
  • Langflow
Versions: Specific version range not provided in advisory, but all versions before the fix are likely affected
Operating Systems: All platforms running Langflow
Default Config Vulnerable: ⚠️ Yes
Notes: Vulnerability exists in Python function component handling; exploitability depends on workflow configuration and user permissions

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete system compromise allowing attackers to execute arbitrary commands, steal sensitive data, install malware, pivot to other systems, and maintain persistent access.

🟠

Likely Case

Unauthorized code execution leading to data exfiltration, credential theft, and potential lateral movement within the network.

🟢

If Mitigated

Limited impact through network segmentation and proper access controls, potentially containing the attack to isolated environments.

🌐 Internet-Facing: HIGH
🏢 Internal Only: MEDIUM

🎯 Exploit Status

Public PoC: ✅ No
Weaponized: LIKELY
Unauthenticated Exploit: ✅ No
Complexity: LOW

Exploitation requires access to modify workflows; authenticated users or API access needed

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Check vendor advisory for specific version

Vendor Advisory: https://www.zerodayinitiative.com/advisories/ZDI-26-037/

Restart Required: Yes

Instructions:

1. Check current Langflow version
2. Update to patched version from official sources
3. Restart Langflow service
4. Verify update was successful

🔧 Temporary Workarounds

Restrict Python Function Access

all

Limit user permissions to prevent unauthorized workflow modifications

Configure role-based access control to restrict Python function editing

Network Segmentation

all

Isolate Langflow instances from sensitive systems

Implement firewall rules to restrict Langflow network access

🧯 If You Can't Patch

  • Implement strict access controls and audit all workflow modifications
  • Monitor for suspicious Python code execution and network connections

🔍 How to Verify

Check if Vulnerable:

Check Langflow version against vendor advisory; review workflow configurations for custom Python functions

Check Version:

langflow --version or check package version in Python environment

Verify Fix Applied:

Verify Langflow version is updated to patched version; test Python function component security

📡 Detection & Monitoring

Log Indicators:

  • Unusual Python code execution patterns
  • Unauthorized workflow modifications
  • Suspicious import statements in function components

Network Indicators:

  • Unexpected outbound connections from Langflow instances
  • Command and control traffic patterns

SIEM Query:

Search for 'python_exec' or 'code_injection' events in Langflow logs combined with suspicious network activity

🔗 References

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