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CVE-2026-70473

Estado: AnalizadaAlta (8.3)—

Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name. The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3.

CVSS

Probabilidad de explotación (EPSS)

EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).

🎯 Técnicas ATT&CK

Cómo se explota esta vulnerabilidad y qué consigue el atacante, en el lenguaje de MITRE ATT&CK.

Acceso remoto autenticado (PR:L) a endpoint sin autorización scope: obtiene historial global incluyendo credenciales Vector Store (Qdrant URL, collection names). CWE-200/862 confirman falta de control de acceso e information disclosure.

Inferido por nuestro agente de análisis a partir de la descripción oficial, el vector CVSS y la CWE, y comprobado por un supervisor. Puede contener errores.

🛡️ Mitigaciones ATT&CK que cubren estas técnicas

Privileged Account ManagementActive Directory ConfigurationUser TrainingPassword PoliciesUpdate SoftwareApplication Developer Guidance

Tecnologías afectadas (1)

Flowiseai — Flowise

CWE

Referencias

JSON original (NVD)

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  "id": "CVE-2026-70473",
  "cveTags": [],
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        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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          "role": "CISA Coordinator",
          "options": [
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          "valueDensity": "NOT_DEFINED",
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          "modifiedAttackVector": "NOT_DEFINED",
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          "modifiedVulnIntegrityImpact": "NOT_DEFINED",
          "vulnerabilityResponseEffort": "NOT_DEFINED",
          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
          "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
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  "published": "2026-08-04T19:16:54.830",
  "references": [
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    {
      "url": "https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3",
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      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
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  "weaknesses": [
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      "source": "security-advisories@github.com",
      "description": [
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          "value": "CWE-200"
        },
        {
          "lang": "en",
          "value": "CWE-202"
        },
        {
          "lang": "en",
          "value": "CWE-862"
        }
      ]
    }
  ],
  "descriptions": [
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      "lang": "en",
      "value": "Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name. The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3."
    }
  ],
  "lastModified": "2026-09-11T21:05:40.573",
  "configurations": [
    {
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            }
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}