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CVE-2026-23529

Estado: AplazadaAlta (7.7)—

Kafka Connect BigQuery Connector is an implementation of a sink connector from Apache Kafka to Google BigQuery. Prior to 2.11.0, there is an arbitrary file read in Google BigQuery Sink connector. Aiven's Google BigQuery Kafka Connect Sink connector requires Google Cloud credential configurations for authentication to BigQuery services. During connector configuration, users can supply credential JSON files that are processed by Google authentication libraries. The service fails to validate externally-sourced credential configurations before passing them to the authentication libraries.

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An attacker can exploit this by providing a malicious credential configuration containing crafted credential_source.file paths or credential_source.url endpoints, resulting in arbitrary file reads or SSRF attacks.

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.

Explotación remota de servicio con privilegios (PR:L, red sin autenticación previa); impactos: lectura de archivos arbitrarios (credential_source.file) y potencial SSRF mediante credential_source.url; CWE-918 confirma SSRF.

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

Tecnologías afectadas (3)

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

CWE

Referencias

JSON original (NVD)

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{
  "id": "CVE-2026-23529",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-23529",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2026-01-16T17:23:56.217442Z"
        }
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Secondary",
        "source": "security-advisories@github.com",
        "cvssData": {
          "scope": "CHANGED",
          "version": "3.1",
          "baseScore": 7.7,
          "attackVector": "NETWORK",
          "baseSeverity": "HIGH",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N",
          "integrityImpact": "NONE",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "NONE",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "HIGH"
        },
        "impactScore": 4,
        "exploitabilityScore": 3.1
      }
    ]
  },
  "affected": [
    {
      "source": "security-advisories@github.com",
      "affectedData": [
        {
          "vendor": "Aiven-Open",
          "product": "bigquery-connector-for-apache-kafka",
          "versions": [
            {
              "status": "affected",
              "version": "< 2.11.0"
            }
          ]
        }
      ]
    }
  ],
  "published": "2026-01-16T17:15:54.783",
  "references": [
    {
      "url": "https://docs.cloud.google.com/support/bulletins#gcp-2025-005",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/Aiven-Open/bigquery-connector-for-apache-kafka/commit/20ea3921c6fe72d605a033c1943b20f49eaba981",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/Aiven-Open/bigquery-connector-for-apache-kafka/releases/tag/v2.11.0",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/Aiven-Open/bigquery-connector-for-apache-kafka/security/advisories/GHSA-3mg8-2g53-5gj4",
      "source": "security-advisories@github.com"
    }
  ],
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "security-advisories@github.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-73"
        },
        {
          "lang": "en",
          "value": "CWE-918"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "Kafka Connect BigQuery Connector is an implementation of a sink connector from Apache Kafka to Google BigQuery. Prior to 2.11.0, there is an arbitrary file read in Google BigQuery Sink connector. Aiven's Google BigQuery Kafka Connect Sink connector requires Google Cloud credential configurations for authentication to BigQuery services. During connector configuration, users can supply credential JSON files that are processed by Google authentication libraries. The service fails to validate externally-sourced credential configurations before passing them to the authentication libraries. An attacker can exploit this by providing a malicious credential configuration containing crafted credential_source.file paths or credential_source.url endpoints, resulting in arbitrary file reads or SSRF attacks."
    },
    {
      "lang": "es",
      "value": "El Conector de Kafka Connect para BigQuery es una implementación de un conector de sumidero de Apache Kafka a Google BigQuery. Antes de la versión 2.11.0, existe una lectura arbitraria de archivos en el conector de sumidero de Google BigQuery. El conector de sumidero de Kafka Connect para Google BigQuery de Aiven requiere configuraciones de credenciales de Google Cloud para la autenticación a los servicios de BigQuery. Durante la configuración del conector, los usuarios pueden proporcionar archivos JSON de credenciales que son procesados por las librerías de autenticación de Google. El servicio no valida las configuraciones de credenciales de origen externo antes de pasarlas a las librerías de autenticación. Un atacante puede explotar esto al proporcionar una configuración de credenciales maliciosa que contenga rutas credential_source.file manipuladas o puntos finales credential_source.url, lo que resulta en lecturas arbitrarias de archivos o ataques SSRF."
    }
  ],
  "lastModified": "2026-06-17T10:21:44.070",
  "sourceIdentifier": "security-advisories@github.com"
}