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CVE-2026-107290

Estado: AnalizadaMedia (6.5)—

Pydantic AI es un framework de agentes en Python para crear aplicaciones y flujos de trabajo con IA generativa. Desde la 1.77.0 hasta la 1.107.6 y la 2.44.0, web_fetch_tool local y la alternativa local de WebFetch procesan las respuestas controladas por el servidor con una extracción de títulos, normalización de espacios en blanco y numeración de listas ordenadas de coste cuadrático. Por tanto, una página controlada por el atacante de tamaño modesto puede bloquear el bucle de eventos durante un periodo prolongado, paralizando otras ejecuciones y solicitudes del agente, mientras que los códecs no admitidos o un anidamiento excesivo de HTML o JSON pueden abortar una ejecución individual. Este problema está corregido en las versiones 1.107.6 y 2.44.0.

Traducción automática del texto original de NVD (en inglés).

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.

AV:N, PR:L sin UI indica acceso de red con privilegios mínimos (T1210). El atacante entrega una página malformada que bloquea el event loop (DoS/T1499.004) por extracción cuadrática de títulos y anidamiento excesivo.

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)

CWE

Referencias

JSON original (NVD)

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  "id": "CVE-2026-107290",
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      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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          "id": "CVE-2026-107290",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2026-10-08T20:23:20.403829Z"
        }
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          "version": "3.1",
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          "attackVector": "NETWORK",
          "baseSeverity": "MEDIUM",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
          "integrityImpact": "NONE",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "NONE"
        },
        "impactScore": 3.6,
        "exploitabilityScore": 2.8
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  "published": "2026-10-08T17:17:14.413",
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      "url": "https://github.com/pydantic/pydantic-ai/pull/84332",
      "tags": [
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  ],
  "vulnStatus": "Analyzed",
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      "type": "Secondary",
      "source": "security-advisories@github.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-1333"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback process server-controlled responses with quadratic title extraction, whitespace normalization, and ordered-list numbering. An attacker-controlled page of modest size can therefore block the event loop for an extended period, stalling other agent runs and requests, while unsupported codecs or excessive HTML or JSON nesting can abort an individual run. This issue is fixed in versions 1.107.6 and 2.44.0."
    }
  ],
  "lastModified": "2026-10-13T14:34:38.623",
  "configurations": [
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