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AI agent vulnerability · Langflow

CVE-2026-21445: Langflow Missing Authentication on Critical API Endpoints

highCVSS 4.0 8.8GHSA-c5cp-vx83-jhqx

Summary Multiple critical API endpoints in Langflow are missing authentication controls, allowing any unauthenticated user to access sensitive user conversation data, transaction histories, and perform destructive operations including message deletion. This affects endpoints handling personal data and system operations that should require proper authorization.

Published Jan 2, 2026 · Updated Jan 5, 2026

Affected packages

langflow-base

Ecosystem
PyPI
Affected
<= 0.6.9
Fixed in
0.7.1
Check
pip show langflow-base

langflow

Ecosystem
PyPI
Affected
<= 1.7.0.dev44
Fixed in
1.7.1
Check
pip show langflow

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

Summary

Multiple critical API endpoints in Langflow are missing authentication controls, allowing any unauthenticated user to access sensitive user conversation data, transaction histories, and perform destructive operations including message deletion. This affects endpoints handling personal data and system operations that should require proper authorization.

Details

The vulnerability exists in three API endpoints within src/backend/base/langflow/api/v1/monitor.py that are missing the required dependencies=[Depends(get_current_active_user)] authentication dependency:

Affected Endpoints:

  1. GET `/api/v1/monitor/messages` (Line 61) ``python @router.get("/messages") # ❌ Missing authentication async def get_messages( session: DbSession, flow_id: Annotated[UUID | None, Query()] = None, session_id: Annotated[str | None, Query()] = None, # ... other parameters ) -> list[MessageResponse]: ``
  1. GET `/api/v1/monitor/transactions` (Line 183) ``python @router.get("/transactions") # ❌ Missing authentication async def get_transactions( flow_id: Annotated[UUID, Query()], session: DbSession, params: Annotated[Params | None, Depends(custom_params)], ) -> Page[TransactionTable]: ``
  1. DELETE `/api/v1/monitor/messages/session/{session_id}` (Line 165) ``python @router.delete("/messages/session/{session_id}", status_code=204) # ❌ Missing authentication async def delete_messages_session( session_id: str, session: DbSession, ): ``

Inconsistency Evidence: Other endpoints in the same file properly implement authentication:

@router.get("/messages/sessions", dependencies=[Depends(get_current_active_user)])  # ✅ Properly secured
@router.delete("/messages", status_code=204, dependencies=[Depends(get_current_active_user)])  # ✅ Properly secured

PoC

Complete reproduction steps to demonstrate the vulnerability:

Prerequisites:

  1. Start a Langflow server instance
  2. Ensure no authentication headers or API keys are provided

Reproduction Commands:

# 1. Access all user conversations without authentication
curl http://localhost:7860/api/v1/monitor/messages

# 2. Access transaction history without authentication
curl "http://localhost:7860/api/v1/monitor/transactions?flow_id=00000000-0000-0000-0000-000000000000"

# 3. Delete user messages by session without authentication
curl -X DELETE http://localhost:7860/api/v1/monitor/messages/session/00000000-0000-0000-0000-000000000000

Expected vs Actual Behavior:

  • Expected: All requests should return 401 Unauthorized
  • Actual: All requests return successful responses with sensitive data or perform destructive operations

Impact

Vulnerability Type: Broken Authentication and Authorization (OWASP Top 10 - A01:2021)

Severity: High

Who is Impacted:

  • All Langflow users: Personal conversation data exposed to unauthorized access
  • System administrators: Transaction logs disclosed

Specific Impacts:

  1. Data Breach: Unauthorized access to user conversations containing potentially sensitive personal information
  2. Privacy Violation: Transaction histories and user activity patterns exposed without consent
  3. Data Destruction: Malicious actors can delete user conversation histories without authorization
  4. Compliance Risk: Potential violations of data protection regulations (GDPR, CCPA, etc.)
  5. System Intelligence: Attackers can gather information about system usage patterns and user behavior

Attack Scenarios:

  • Malicious users accessing proprietary conversation data
  • Malicious users deleting other users' conversation histories
  • Automated scraping of all user conversations for data harvesting
  • Reconnaissance attacks to understand system architecture and usage patterns

Recommended Fix: Add authentication dependencies to all affected endpoints:

@router.get("/messages", dependencies=[Depends(get_current_active_user)])
@router.get("/transactions", dependencies=[Depends(get_current_active_user)])
@router.delete("/messages/session/{session_id}", dependencies=[Depends(get_current_active_user)])

Environment:

  • Langflow Version: Current main branch
  • Affected Components: API v1 monitoring endpoints
  • Authentication System: FastAPI dependency injection with get_current_active_user

Credited to kj84park, juh0ng.

References

How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology

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