CVE-2026-105741 (GCVE-0-2026-105741)
Vulnerability from cvelistv5 – Published: 2026-10-05 20:56 – Updated: 2026-10-05 20:56
VLAI
EPSS
VEX
Title
Langflow: IP Spoofing Bypass via `X-Forwarded-For` Allowing Remote Configuration Write
Summary
Langflow is a tool for building and deploying AI-powered agents and workflows. From 1.5.0 until 1.10.3, an IP spoofing vulnerability in the Model Context Protocol (MCP) configuration installation endpoint (POST /api/v1/mcp/project/{project_id}/install) allowed authenticated remote attackers to bypass the "local-only" access restriction. By sending a spoofed X-Forwarded-For: 127.0.0.1 header, an attacker could make the server treat the request as originating from localhost, letting them write/overwrite an MCP client configuration file on the server's filesystem. This vulnerability is fixed in 1.10.3.
Severity
7.1 (High)
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/langflow-ai/langflow/security/… | x_refsource_CONFIRM |
| https://github.com/langflow-ai/langflow/pull/13915 | x_refsource_MISC |
| https://github.com/langflow-ai/langflow/commit/1f… | x_refsource_MISC |
| https://github.com/langflow-ai/langflow/commit/94… | x_refsource_MISC |
| https://github.com/langflow-ai/langflow/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| langflow-ai | langflow |
Affected:
>= 1.5.0, < 1.10.3
|
guessed |
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}
],
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"providerMetadata": {
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},
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"tags": [
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},
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"tags": [
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],
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},
{
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}
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"source": {
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"discovery": "UNKNOWN"
},
"title": "Langflow: IP Spoofing Bypass via `X-Forwarded-For` Allowing Remote Configuration Write"
}
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"dateReserved": "2026-10-05T19:11:07.946Z",
"dateUpdated": "2026-10-05T20:56:00.060Z",
"state": "PUBLISHED"
},
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"dataVersion": "5.2",
"vulnerability-lookup:meta": {
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"date": "2026-10-06",
"epss": "0.00212",
"percentile": "0.10481"
},
"nvd": {
"cve": {
"affected": [
{
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"vendor": "langflow-ai",
"versions": [
{
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"version": "\u003e= 1.5.0, \u003c 1.10.3"
}
]
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],
"source": "security-advisories@github.com"
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"cveTags": [],
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}
],
"id": "CVE-2026-105741",
"lastModified": "2026-10-06T14:59:48.280",
"metrics": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
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"published": "2026-10-05T21:16:35.740",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/langflow-ai/langflow/commit/1f39a4b9d62c9dfa1b21fa7f85e23a180c351b72"
},
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}
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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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