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CVE-2025-32377

Estado: AplazadaMedia (6.5)—

Rasa Pro is a framework for building scalable, dynamic conversational AI assistants that integrate large language models (LLMs). A vulnerability has been identified in Rasa Pro where voice connectors in Rasa Pro do not properly implement authentication even when a token is configured in the credentials.yml file. This could allow an attacker to submit voice data to the Rasa Pro assistant from an unauthenticated source. This issue has been patched for audiocodes, audiocodes_stream, and genesys connectors in versions 3.9.20, 3.10.19, 3.11.7 and 3.12.6.

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).

Tecnologías afectadas (1)

⚠ Inferidas por IA a partir de la descripción — NVD aún no ha analizado esta CVE; no son CPE verificados.

Rasa — Rasa PROAI

CWE

Referencias

JSON original (NVD)

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{
  "id": "CVE-2025-32377",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-32377",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2025-04-18T20:35:33.250201Z"
        }
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Secondary",
        "source": "security-advisories@github.com",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 6.5,
          "attackVector": "NETWORK",
          "baseSeverity": "MEDIUM",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L",
          "integrityImpact": "LOW",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "LOW",
          "privilegesRequired": "NONE",
          "confidentialityImpact": "NONE"
        },
        "impactScore": 2.5,
        "exploitabilityScore": 3.9
      }
    ]
  },
  "affected": [
    {
      "source": "security-advisories@github.com",
      "affectedData": [
        {
          "vendor": "RasaHQ",
          "product": "rasa-pro-security-advisories",
          "versions": [
            {
              "status": "affected",
              "version": ">= 3.12.0, < 3.12.6"
            },
            {
              "status": "affected",
              "version": ">= 3.11.0, < 3.11.7"
            },
            {
              "status": "affected",
              "version": ">= 3.10.0, < 3.10.19"
            },
            {
              "status": "affected",
              "version": "< 3.9.20"
            }
          ]
        }
      ]
    }
  ],
  "published": "2025-04-18T20:15:16.670",
  "references": [
    {
      "url": "https://github.com/RasaHQ/security-advisories/security/advisories/GHSA-7xq5-54jp-2mfg",
      "source": "security-advisories@github.com"
    }
  ],
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "security-advisories@github.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-306"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "Rasa Pro is a framework for building scalable, dynamic conversational AI assistants that integrate large language models (LLMs). A vulnerability has been identified in Rasa Pro where voice connectors in Rasa Pro do not properly implement authentication even when a token is configured in the credentials.yml file. This could allow an attacker to submit voice data to the Rasa Pro assistant from an unauthenticated source. This issue has been patched for audiocodes, audiocodes_stream, and genesys connectors in versions 3.9.20, 3.10.19, 3.11.7 and 3.12.6."
    },
    {
      "lang": "es",
      "value": "Rasa Pro es un framework para crear asistentes de IA conversacionales escalables y dinámicos que integran grandes modelos de lenguaje (LLM). Se ha identificado una vulnerabilidad en Rasa Pro donde los conectores de voz no implementan la autenticación correctamente, incluso cuando se configura un token en el archivo credentials.yml. Esto podría permitir que un atacante envíe datos de voz al asistente Rasa Pro desde una fuente no autenticada. Este problema se ha corregido para audiocodes, audiocodes_stream y conectores genesys en las versiones 3.9.20, 3.10.19, 3.11.7 y 3.12.6."
    }
  ],
  "lastModified": "2026-06-17T09:11:54.233",
  "sourceIdentifier": "security-advisories@github.com"
}