CVE-2026-70470 (GCVE-0-2026-70470)
Vulnerability from cvelistv5 – Published: 2026-08-04 17:30 – Updated: 2026-08-04 17:30
VLAI
EPSS
VEX
Title
Flowise: Pyodide validator Unicode homoglyph bypass leads to RCE
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise validatePythonCodeForDataFrame in packages/components/src/pythonCodeValidator.ts can be bypassed with Unicode homoglyph identifiers, allowing arbitrary Python execution inside Pyodide and full OS command execution on the Flowise host via Pyodide js module interop. The validator gates pyodide.runPythonAsync in packages/components/nodes/agents/CSVAgent/CSVAgent.ts and packages/components/nodes/agents/AirtableAgent/AirtableAgent.ts with an ASCII word-boundary blacklist. JavaScript regex word boundaries are ASCII-only, while Python 3 NFKC-normalizes identifiers at parse time, so homoglyph forms such as __cl𝐚ss__, __subcl𝐚sses__, __b𝐚se__, and __b𝐮iltins__ bypass the blacklist and are parsed as their ASCII equivalents. This issue is fixed in version 3.1.3.
Severity
CWE
- CWE-184 - Incomplete List of Disallowed Inputs
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/FlowiseAI/Flowise/security/adv… | x_refsource_CONFIRM |
| https://github.com/FlowiseAI/Flowise/pull/6499 | x_refsource_MISC |
| https://github.com/FlowiseAI/Flowise/commit/f4e27… | x_refsource_MISC |
| https://github.com/FlowiseAI/Flowise/releases/tag… | x_refsource_MISC |
{
"containers": {
"cna": {
"affected": [
{
"product": "Flowise",
"vendor": "FlowiseAI",
"versions": [
{
"status": "affected",
"version": "\u003c 3.1.3"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Flowise is a drag \u0026 drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise validatePythonCodeForDataFrame in packages/components/src/pythonCodeValidator.ts can be bypassed with Unicode homoglyph identifiers, allowing arbitrary Python execution inside Pyodide and full OS command execution on the Flowise host via Pyodide js module interop. The validator gates pyodide.runPythonAsync in packages/components/nodes/agents/CSVAgent/CSVAgent.ts and packages/components/nodes/agents/AirtableAgent/AirtableAgent.ts with an ASCII word-boundary blacklist. JavaScript regex word boundaries are ASCII-only, while Python 3 NFKC-normalizes identifiers at parse time, so homoglyph forms such as __cl\ud835\udc1ass__, __subcl\ud835\udc1asses__, __b\ud835\udc1ase__, and __b\ud835\udc2eiltins__ bypass the blacklist and are parsed as their ASCII equivalents. This issue is fixed in version 3.1.3."
}
],
"metrics": [
{
"cvssV4_0": {
"attackComplexity": "HIGH",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"baseScore": 9.5,
"baseSeverity": "CRITICAL",
"privilegesRequired": "NONE",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "HIGH",
"subIntegrityImpact": "HIGH",
"userInteraction": "NONE",
"vectorString": "CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-184",
"description": "CWE-184: Incomplete List of Disallowed Inputs",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-04T17:30:54.176Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-52fh-8v99-63c2",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-52fh-8v99-63c2"
},
{
"name": "https://github.com/FlowiseAI/Flowise/pull/6499",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/FlowiseAI/Flowise/pull/6499"
},
{
"name": "https://github.com/FlowiseAI/Flowise/commit/f4e2794f6a576b94578f2fdafbf49c2fb304626c",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/FlowiseAI/Flowise/commit/f4e2794f6a576b94578f2fdafbf49c2fb304626c"
},
{
"name": "https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3"
}
],
"source": {
"advisory": "GHSA-52fh-8v99-63c2",
"discovery": "UNKNOWN"
},
"title": "Flowise: Pyodide validator Unicode homoglyph bypass leads to RCE"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-70470",
"datePublished": "2026-08-04T17:30:54.176Z",
"dateReserved": "2026-08-04T15:24:41.338Z",
"dateUpdated": "2026-08-04T17:30:54.176Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": "{\"cve\":{\"id\":\"CVE-2026-70470\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2026-08-04T18:16:57.930\",\"lastModified\":\"2026-08-04T20:16:53.790\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Flowise is a drag \u0026 drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise validatePythonCodeForDataFrame in packages/components/src/pythonCodeValidator.ts can be bypassed with Unicode homoglyph identifiers, allowing arbitrary Python execution inside Pyodide and full OS command execution on the Flowise host via Pyodide js module interop. The validator gates pyodide.runPythonAsync in packages/components/nodes/agents/CSVAgent/CSVAgent.ts and packages/components/nodes/agents/AirtableAgent/AirtableAgent.ts with an ASCII word-boundary blacklist. JavaScript regex word boundaries are ASCII-only, while Python 3 NFKC-normalizes identifiers at parse time, so homoglyph forms such as __cl\ud835\udc1ass__, __subcl\ud835\udc1asses__, __b\ud835\udc1ase__, and __b\ud835\udc2eiltins__ bypass the blacklist and are parsed as their ASCII equivalents. This issue is fixed in version 3.1.3.\"}],\"affected\":[{\"source\":\"security-advisories@github.com\",\"affectedData\":[{\"vendor\":\"FlowiseAI\",\"product\":\"Flowise\",\"versions\":[{\"version\":\"\u003c 3.1.3\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV40\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"4.0\",\"vectorString\":\"CVSS:4.0/AV:N/AC:H/AT:N/PR:N/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\",\"baseScore\":9.5,\"baseSeverity\":\"CRITICAL\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"attackRequirements\":\"NONE\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"vulnConfidentialityImpact\":\"HIGH\",\"vulnIntegrityImpact\":\"HIGH\",\"vulnAvailabilityImpact\":\"HIGH\",\"subConfidentialityImpact\":\"HIGH\",\"subIntegrityImpact\":\"HIGH\",\"subAvailabilityImpact\":\"HIGH\",\"exploitMaturity\":\"NOT_DEFINED\",\"confidentialityRequirement\":\"NOT_DEFINED\",\"integrityRequirement\":\"NOT_DEFINED\",\"availabilityRequirement\":\"NOT_DEFINED\",\"modifiedAttackVector\":\"NOT_DEFINED\",\"modifiedAttackComplexity\":\"NOT_DEFINED\",\"modifiedAttackRequirements\":\"NOT_DEFINED\",\"modifiedPrivilegesRequired\":\"NOT_DEFINED\",\"modifiedUserInteraction\":\"NOT_DEFINED\",\"modifiedVulnConfidentialityImpact\":\"NOT_DEFINED\",\"modifiedVulnIntegrityImpact\":\"NOT_DEFINED\",\"modifiedVulnAvailabilityImpact\":\"NOT_DEFINED\",\"modifiedSubConfidentialityImpact\":\"NOT_DEFINED\",\"modifiedSubIntegrityImpact\":\"NOT_DEFINED\",\"modifiedSubAvailabilityImpact\":\"NOT_DEFINED\",\"Safety\":\"NOT_DEFINED\",\"Automatable\":\"NOT_DEFINED\",\"Recovery\":\"NOT_DEFINED\",\"valueDensity\":\"NOT_DEFINED\",\"vulnerabilityResponseEffort\":\"NOT_DEFINED\",\"providerUrgency\":\"NOT_DEFINED\"}}],\"ssvcV203\":[{\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"ssvcData\":{\"timestamp\":\"2026-08-04T18:21:27.715178Z\",\"id\":\"CVE-2026-70470\",\"options\":[{\"exploitation\":\"poc\"},{\"automatable\":\"no\"},{\"technicalImpact\":\"total\"}],\"role\":\"CISA Coordinator\",\"version\":\"2.0.3\"}}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-184\"}]}],\"references\":[{\"url\":\"https://github.com/FlowiseAI/Flowise/commit/f4e2794f6a576b94578f2fdafbf49c2fb304626c\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/FlowiseAI/Flowise/pull/6499\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-52fh-8v99-63c2\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-52fh-8v99-63c2\",\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\"}]}}"
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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