{"id":58193,"date":"2025-12-02T12:59:07","date_gmt":"2025-12-02T12:59:07","guid":{"rendered":"https:\/\/thecryptocurrencypost.net\/es\/?p=58193"},"modified":"2026-05-12T06:22:48","modified_gmt":"2026-05-12T06:22:48","slug":"estudio-de-anthropic-agentes-de-ia-hallan-46m-en-exploits-de-contratos-inteligentes","status":"publish","type":"post","link":"https:\/\/thecryptocurrencypost.net\/es\/estudio-de-anthropic-agentes-de-ia-hallan-46m-en-exploits-de-contratos-inteligentes\/","title":{"rendered":"Estudio de Anthropic: agentes de IA hallan $4.6M en exploits de contratos inteligentes"},"content":{"rendered":"<p><strong>Un estudio reci\u00e9n publicado por Anthropic encontr\u00f3 que agentes avanzados de IA identificaron exploits simulados de contratos inteligentes valorados en $4.6M en objetivos posteriores a marzo de 2025<\/strong>, destacando un riesgo medible para el c\u00f3digo de finanzas descentralizadas (DeFi).<\/p>\n<p><!--more--><\/p>\n<p>El estudio de <a href=\"https:\/\/red.anthropic.com\/2025\/smart-contracts\/\" target=\"_blank\" rel=\"noopener noreferrer\">Anthropic<\/a> evalu\u00f3 m\u00faltiples modelos de vanguardia \u2014incluyendo Claude Opus 4.5, Sonnet 4.5 y GPT\u20115\u2014 frente a un benchmark seleccionado de contratos inteligentes del mundo real. <strong>Cuando se ejecutaron sobre 405 contratos explotados entre 2020 y 2025, los agentes reprodujeron colectivamente un valor estimado de $550.1M en exploits<\/strong>, una cifra usada para ilustrar la escala y la capacidad. <strong>Centr\u00e1ndose en contratos explotados despu\u00e9s de marzo de 2025 para evitar contaminaci\u00f3n por datos de entrenamiento, el equipo reporta aproximadamente $4.6M en exploits simulados atribuibles a la actividad de los agentes<\/strong>.<\/p>\n<p>De forma separada, la investigaci\u00f3n ejecut\u00f3 agentes de prueba de concepto contra 2,849 contratos reci\u00e9n desplegados en <a href=\"https:\/\/thecryptocurrencypost.net\/es\/companias\/\" target=\"_blank\" rel=\"noopener\">Binance<\/a> Smart Chain que no ten\u00edan vulnerabilidades conocidas en ese momento. <strong>En esa pasada, los agentes descubrieron dos errores previamente desconocidos (d\u00eda cero)<\/strong>; uno de esos hallazgos por GPT\u20115 gener\u00f3 una ganancia simulada de $3,694 con un costo de API de aproximadamente $3,476. Una vulnerabilidad de d\u00eda cero es un fallo de software previamente desconocido que puede ser explotado antes de que exista una correcci\u00f3n disponible.<\/p>\n<p><strong>Los autores se\u00f1alan un ritmo agudo de crecimiento de capacidad: los ingresos por exploits derivados de agentes se duplicaron aproximadamente cada 1.3 meses<\/strong> durante el per\u00edodo observado. <strong>El informe tambi\u00e9n observa que m\u00e1s de la mitad de los exploits en blockchain en 2025 podr\u00edan, plausiblemente, haber sido ejecutados de forma aut\u00f3noma por agentes actuales<\/strong>, subrayando el cambio en el perfil del atacante.<\/p>\n<p>El equipo deliberadamente excluy\u00f3 contratos explotados antes de marzo de 2025 de ciertos an\u00e1lisis para reducir el riesgo de que los modelos memorizaran ataques pasados. <strong>El benchmark combin\u00f3 la reproducci\u00f3n retrospectiva de ataques conocidos con la sondeaci\u00f3n pr\u00e1ctica y prospectiva de despliegues recientes<\/strong> para evaluar tanto la replicaci\u00f3n de exploits humanos como el descubrimiento de nuevos vectores de ataque.<\/p>\n<h2>Hallazgos y metodolog\u00eda del estudio de Anthropic<\/h2>\n<p><strong>El estudio enmarca su cifra de $4.6M como un l\u00edmite inferior conservador<\/strong> basado en actividad simulada impulsada por agentes. \u201c<strong>Los resultados del benchmark no son solo retrospectivos: la explotaci\u00f3n aut\u00f3noma rentable puede ocurrir hoy<\/strong>\u201d, afirma el estudio, resumiendo el riesgo pr\u00e1ctico demostrado por los experimentos.<\/p>\n<p>Para comerciantes y tesorer\u00edas institucionales, <strong>los hallazgos implican un riesgo elevado y acelerado de explotaci\u00f3n algor\u00edtmica contra el c\u00f3digo de protocolos<\/strong>, particularmente en contratos reci\u00e9n desplegados y l\u00f3gica compleja de derivados o generaci\u00f3n de rendimiento. Para los equipos de seguridad, el estudio funciona tanto como advertencia como plano de acci\u00f3n: <strong>las mismas capacidades de los agentes que permiten la automatizaci\u00f3n de ataques pueden reaprovecharse para auditor\u00edas continuas, fuzzing y pruebas de red-team<\/strong> para detectar debilidades emergentes m\u00e1s r\u00e1pido que los procesos manuales.<\/p>\n<p>Operativamente, <strong>el estrecho margen econ\u00f3mico en el exploit de prueba de concepto \u2014donde los costos de API se acercaron a la ganancia simulada\u2014 ilustra que la explotaci\u00f3n no necesita ser altamente rentable por ataque para ser viable a escala cuando est\u00e1 automatizada<\/strong>.<\/p>\n<p><strong>El estudio de Anthropic cuantifica un riesgo presente y t\u00e9cnicamente reproducible<\/strong>: los agentes de IA pueden tanto recrear exploits hist\u00f3ricos como encontrar nuevas vulnerabilidades, produciendo al menos $4.6M en valor de exploits simulados posteriores a marzo de 2025.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Un estudio reci\u00e9n publicado por Anthropic encontr\u00f3 que agentes avanzados de IA identificaron exploits simulados de contratos inteligentes valorados en $4.6M en objetivos posteriores a marzo de 2025, destacando un riesgo medible para el c\u00f3digo de finanzas descentralizadas (DeFi).<\/p>\n","protected":false},"author":36,"featured_media":58192,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"rank_math_title":"","rank_math_description":"","rank_math_robots":[],"footnotes":""},"categories":[80,33,2060],"tags":[1611,1612,146],"class_list":["post-58193","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-companias","category-editors-picks","category-exchanges","tag-anthropic","tag-benchmark","tag-binance"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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