CVE-2026-105740 (GCVE-0-2026-105740)
Vulnerability from cvelistv5 – Published: 2026-10-05 20:46 – Updated: 2026-10-05 20:46
VLAI
EPSS
VEX
Title
Langflow: Authenticated RCE via MCP Stdio transport allows any user to execute arbitrary OS commands on the server
Summary
Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.0, any authenticated Langflow user can achieve Remote Code Execution (RCE) on the server by adding an MCP server with the "Stdio" transport. The user-supplied command field is passed directly to bash -c "exec {command}" with zero validation, no allowlisting, and no sandboxing. The command executes immediately when the server list is fetched. Additionally, the env field allows arbitrary environment variable injection (e.g., LD_PRELOAD, PATH override). This vulnerability is fixed in 1.9.0.
Severity
9.9 (Critical)
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/langflow-ai/langflow/security/… | x_refsource_CONFIRM |
| https://github.com/langflow-ai/langflow/security/… | x_refsource_MISC |
| https://github.com/langflow-ai/langflow/pull/12290 | x_refsource_MISC |
| https://github.com/langflow-ai/langflow/commit/ef… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| langflow-ai | langflow |
Affected:
< 1.9.0
|
guessed |
{
"containers": {
"cna": {
"affected": [
{
"product": "langflow",
"vendor": "langflow-ai",
"versions": [
{
"status": "affected",
"version": "\u003c 1.9.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.0, any authenticated Langflow user can achieve Remote Code Execution (RCE) on the server by adding an MCP server with the \"Stdio\" transport. The user-supplied command field is passed directly to bash -c \"exec {command}\" with zero validation, no allowlisting, and no sandboxing. The command executes immediately when the server list is fetched. Additionally, the env field allows arbitrary environment variable injection (e.g., LD_PRELOAD, PATH override). This vulnerability is fixed in 1.9.0."
}
],
"metrics": [
{
"cvssV3_1": {
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"baseScore": 9.9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-78",
"description": "CWE-78: Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-10-05T20:46:18.854Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/langflow-ai/langflow/security/advisories/GHSA-7w94-79vh-5mr2",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/langflow-ai/langflow/security/advisories/GHSA-7w94-79vh-5mr2"
},
{
"name": "https://github.com/langflow-ai/langflow/security/advisories/GHSA-w794-rj3p-xv45",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/langflow-ai/langflow/security/advisories/GHSA-w794-rj3p-xv45"
},
{
"name": "https://github.com/langflow-ai/langflow/pull/12290",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/langflow-ai/langflow/pull/12290"
},
{
"name": "https://github.com/langflow-ai/langflow/commit/efbc4a16e639409d938a4883463d27ef0bc637a0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/langflow-ai/langflow/commit/efbc4a16e639409d938a4883463d27ef0bc637a0"
}
],
"source": {
"advisory": "GHSA-7w94-79vh-5mr2",
"discovery": "UNKNOWN"
},
"title": "Langflow: Authenticated RCE via MCP Stdio transport allows any user to execute arbitrary OS commands on the server"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-105740",
"datePublished": "2026-10-05T20:46:18.854Z",
"dateReserved": "2026-10-05T19:11:07.946Z",
"dateUpdated": "2026-10-05T20:46:18.854Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "langflow",
"vendor": "langflow-ai",
"versions": [
{
"status": "affected",
"version": "\u003c 1.9.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.0, any authenticated Langflow user can achieve Remote Code Execution (RCE) on the server by adding an MCP server with the \"Stdio\" transport. The user-supplied command field is passed directly to bash -c \"exec {command}\" with zero validation, no allowlisting, and no sandboxing. The command executes immediately when the server list is fetched. Additionally, the env field allows arbitrary environment variable injection (e.g., LD_PRELOAD, PATH override). This vulnerability is fixed in 1.9.0."
}
],
"id": "CVE-2026-105740",
"lastModified": "2026-10-05T21:16:35.567",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 6.0,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2026-10-05T21:16:35.567",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/langflow-ai/langflow/commit/efbc4a16e639409d938a4883463d27ef0bc637a0"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/langflow-ai/langflow/pull/12290"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/langflow-ai/langflow/security/advisories/GHSA-7w94-79vh-5mr2"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/langflow-ai/langflow/security/advisories/GHSA-w794-rj3p-xv45"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
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"description": [
{
"lang": "en",
"value": "CWE-78"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
}
}
}
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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.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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