CVE-2026-105741 (GCVE-0-2026-105741)

Vulnerability from cvelistv5 – Published: 2026-10-05 20:56 – Updated: 2026-10-05 20:56
VLAI
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.
CWE
  • CWE-290 - Authentication Bypass by Spoofing
  • CWE-345 - Insufficient Verification of Data Authenticity
Impacted products
Vendor Product Version CPE status
langflow-ai langflow Affected: >= 1.5.0, < 1.10.3
guessed Create a notification for this product.
Show details on NVD website

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          "vendor": "langflow-ai",
          "versions": [
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              "status": "affected",
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            }
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          "value": "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\u0027s filesystem. This vulnerability is fixed in 1.10.3."
        }
      ],
      "metrics": [
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            "attackVector": "NETWORK",
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            "confidentialityImpact": "NONE",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L",
            "version": "3.1"
          }
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      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-290",
              "description": "CWE-290: Authentication Bypass by Spoofing",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
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              "description": "CWE-345: Insufficient Verification of Data Authenticity",
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              "type": "CWE"
            }
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      "providerMetadata": {
        "dateUpdated": "2026-10-05T20:56:00.060Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/langflow-ai/langflow/security/advisories/GHSA-4f6c-2vvp-gw82",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/langflow-ai/langflow/security/advisories/GHSA-4f6c-2vvp-gw82"
        },
        {
          "name": "https://github.com/langflow-ai/langflow/pull/13915",
          "tags": [
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          "url": "https://github.com/langflow-ai/langflow/pull/13915"
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          "tags": [
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        },
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          "name": "https://github.com/langflow-ai/langflow/commit/94859df33acd70b2a1f816e26d68f5e89a7e5639",
          "tags": [
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          "url": "https://github.com/langflow-ai/langflow/commit/94859df33acd70b2a1f816e26d68f5e89a7e5639"
        },
        {
          "name": "https://github.com/langflow-ai/langflow/releases/tag/v1.10.3",
          "tags": [
            "x_refsource_MISC"
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          "url": "https://github.com/langflow-ai/langflow/releases/tag/v1.10.3"
        }
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      "source": {
        "advisory": "GHSA-4f6c-2vvp-gw82",
        "discovery": "UNKNOWN"
      },
      "title": "Langflow: IP Spoofing Bypass via `X-Forwarded-For` Allowing Remote Configuration Write"
    }
  },
  "cveMetadata": {
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    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-105741",
    "datePublished": "2026-10-05T20:56:00.060Z",
    "dateReserved": "2026-10-05T19:11:07.946Z",
    "dateUpdated": "2026-10-05T20:56:00.060Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "nvd": {
      "cve": {
        "affected": [
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                "product": "langflow",
                "vendor": "langflow-ai",
                "versions": [
                  {
                    "status": "affected",
                    "version": "\u003e= 1.5.0, \u003c 1.10.3"
                  }
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        "cveTags": [],
        "descriptions": [
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            "lang": "en",
            "value": "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\u0027s filesystem. This vulnerability is fixed in 1.10.3."
          }
        ],
        "id": "CVE-2026-105741",
        "lastModified": "2026-10-05T21:16:35.740",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "LOW",
                "baseScore": 7.1,
                "baseSeverity": "HIGH",
                "confidentialityImpact": "NONE",
                "integrityImpact": "HIGH",
                "privilegesRequired": "LOW",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L",
                "version": "3.1"
              },
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              "impactScore": 4.2,
              "source": "security-advisories@github.com",
              "type": "Secondary"
            }
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        "published": "2026-10-05T21:16:35.740",
        "references": [
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        "vulnStatus": "Received",
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                "value": "CWE-290"
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            "source": "security-advisories@github.com",
            "type": "Primary"
          }
        ]
      }
    }
  }
}



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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.

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