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CVE-2026-15736

Estado: Pendiente de análisisAlta (8.3)—

Snowflake SQLAlchemy versions prior to 1.11.0 contain several security vulnerabilities, including: Improper handling of user-supplied column identifiers in merge operations could allow SQL injection through attacker-controlled input keys. An attacker may be able to exploit this through request field names in a dynamic upsert endpoint, potentially enabling read access to data visible to the application's database role or modification of values within the same MERGE statement.

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Improper literal rendering of bound parameters when building certain Snowflake-specific table creation queries could allow SQL injection. An attacker may be able to exploit this by supplying a crafted string to any application endpoint that passes user-controlled data through the affected query-building API, potentially causing arbitrary data exfiltration within the scope of the connection role. Improper forwarding of connection configuration parameters could allow an attacker to cause the library to read arbitrary local files and transmit their contents to an attacker-controlled endpoint. An attacker may be able to exploit this in deployment environments that accept user-controlled connection parameters, potentially exposing sensitive files accessible to the application process. The fix is available in Snowflake SQLAlchemy version 1.11.0. Users must manually upgrade.

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.

SQL injection en SQLAlchemy Snowflake (CWE-89) con acceso remoto autenticado (PR:L) permite lectura de datos y manipulación de valores MERGE. Confidencialidad alta (C:H) confirma exfiltración de datos sensibles.

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 (1)

⚠ 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-2026-15736",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-15736",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2026-07-14T15:14:20.847658Z"
        }
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Secondary",
        "source": "412d305a-227d-44f9-a262-a31ba44f2aea",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 8.3,
          "attackVector": "NETWORK",
          "baseSeverity": "HIGH",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:L",
          "integrityImpact": "HIGH",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "LOW",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "HIGH"
        },
        "impactScore": 5.5,
        "exploitabilityScore": 2.8
      }
    ]
  },
  "affected": [
    {
      "source": "412d305a-227d-44f9-a262-a31ba44f2aea",
      "affectedData": [
        {
          "vendor": "Snowflake",
          "product": "Snowflake SQLAlchemy",
          "versions": [
            {
              "status": "affected",
              "version": "1.1.6",
              "lessThan": "1.11.0",
              "versionType": "semver"
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          "defaultStatus": "unaffected"
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  ],
  "published": "2026-07-14T15:17:01.073",
  "references": [
    {
      "url": "https://github.com/snowflakedb/snowflake-sqlalchemy/releases",
      "source": "412d305a-227d-44f9-a262-a31ba44f2aea"
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  "vulnStatus": "Awaiting Analysis",
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      "description": [
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  "descriptions": [
    {
      "lang": "en",
      "value": "Snowflake SQLAlchemy versions prior to 1.11.0 contain several security vulnerabilities, including: Improper handling of user-supplied column identifiers in merge operations could allow SQL injection through attacker-controlled input keys. An attacker may be able to exploit this through request field names in a dynamic upsert endpoint, potentially enabling read access to data visible to the application's database role or modification of values within the same MERGE statement. Improper literal rendering of bound parameters when building certain Snowflake-specific table creation queries could allow SQL injection. An attacker may be able to exploit this by supplying a crafted string to any application endpoint that passes user-controlled data through the affected query-building API, potentially causing arbitrary data exfiltration within the scope of the connection role. Improper forwarding of connection configuration parameters could allow an attacker to cause the library to read arbitrary local files and transmit their contents to an attacker-controlled endpoint. An attacker may be able to exploit this in deployment environments that accept user-controlled connection parameters, potentially exposing sensitive files accessible to the application process. The fix is available in Snowflake SQLAlchemy version 1.11.0. Users must manually upgrade."
    }
  ],
  "lastModified": "2026-07-15T20:08:02.787",
  "sourceIdentifier": "412d305a-227d-44f9-a262-a31ba44f2aea"
}