{"id":37106,"date":"2026-07-08T00:36:07","date_gmt":"2026-07-07T22:36:07","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/avalon-framework-malware-modulare-ai\/"},"modified":"2026-07-08T00:36:09","modified_gmt":"2026-07-07T22:36:09","slug":"avalon-framework-malware-modulare-ai","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/avalon-framework-malware-modulare-ai\/","title":{"rendered":"Avalon, scoperto un framework malware modulare creato con l\u2019aiuto dell\u2019AI"},"content":{"rendered":"\n\n<style>\n  :root {\n    --red: #CC1B1B;\n    --red-light: rgba(204,27,27,0.08);\n    --red-mid: #e84040;\n    --accent-soft-bg: rgba(204,27,27,0.07);\n    --accent-soft-border: rgba(204,27,27,0.18);\n    --text: #1a1a1a;\n    --text-muted: #666;\n    --card: #ffffff;\n    --border: #ebebeb;\n    --page-bg: #ffffff;\n    --surface-soft: #fafafa;\n    --surface-contrast: #f0f0f0;\n    --line-soft: #f5f5f5;\n    --soft-label: #bbb;\n    --muted-label: #999;\n    --copy: #333;\n    --font-head: 'Bebas Neue', sans-serif;\n    --font-body: 'DM Sans', sans-serif;\n    --heading-spacing: 0.04em;\n    --heading-weight: 400;\n    --spec-header-spacing: 0.08em;\n    --quickfacts-shadow: 0 10px 24px rgba(15,23,42,0.06);\n  }\n  .fbp5-wrap,.fbp5-wrap * { box-sizing:border-box; margin:0; padding:0; }\n  .fbp5-wrap { font-family:var(--font-body); color:var(--text); line-height:1.7; max-width:860px; margin:0 auto; padding:0 24px 80px; display:flex; flex-direction:column; gap:52px; }\n  .fbp5-wrap[data-rh-site-profile=\"klav\"] { padding:24px 24px 80px; background:var(--page-bg); border-radius:24px; }\n  .fbp5-intro { padding-top:36px; border-top:3px solid var(--red); }\n  .fbp5-intro p { font-size:17px; color:var(--copy); line-height:1.85; margin-bottom:18px; }\n  .fbp5-intro strong { color:var(--text); font-weight:700; }\n  .rh-phonebox { background:var(--card); border:2.5px solid var(--red); border-radius:16px; overflow:hidden; margin:4px 0 0; }\n  .rh-phonebox-topbar,.rh-phonebox-bottombar { height:4px; background:linear-gradient(90deg,var(--red),var(--red-mid),var(--red)); }\n  .rh-phonebox-header { padding:24px 28px; background:var(--surface-soft); border-bottom:1px solid var(--border); display:flex; align-items:flex-start; gap:24px; }\n  .rh-phonebox-hero { width:200px; 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grid-template-columns:repeat(auto-fit,minmax(260px,1fr)); }\n  .rh-affbox-col { padding:22px 24px; }\n  .rh-affbox-col:not(:last-child) { border-right:1px solid var(--line-soft); }\n  .rh-affbox-model { font-family:var(--font-head); font-size:22px; color:var(--text); letter-spacing:0.02em; margin-bottom:4px; line-height:1; }\n  .rh-affbox-model span { color:var(--red); }\n  .rh-affbox-from { font-size:11px; font-weight:700; letter-spacing:0.08em; text-transform:uppercase; color:var(--soft-label); margin-bottom:2px; }\n  .rh-affbox-amount { font-family:var(--font-head); font-size:36px; color:var(--red); letter-spacing:0.02em; line-height:1; margin-bottom:14px; }\n  .rh-affbox-ctas { display:flex; flex-direction:column; gap:8px; margin-bottom:14px; }\n  .rh-affbox-cta { display:inline-flex; align-items:center; justify-content:center; gap:8px; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:100px; padding:11px 22px; font-size:14px; font-weight:600; white-space:nowrap; }\n  .rh-affbox-cta.secondary { background:var(--text); }\n  .rh-affbox-cta svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-affbox-coupon { display:flex; align-items:center; justify-content:space-between; gap:12px; border:1px dashed var(--accent-soft-border); background:var(--accent-soft-bg); border-radius:12px; padding:10px 12px; margin:0 0 12px; }\n  .rh-affbox-coupon-label { font-size:11px; font-weight:700; letter-spacing:0.08em; text-transform:uppercase; color:var(--red); }\n  .rh-affbox-coupon-code { font-family:var(--font-head); font-size:22px; line-height:1; color:var(--text); letter-spacing:0.03em; }\n  .rh-affbox-promo { font-size:12px; color:var(--text-muted); line-height:1.5; border-top:1px solid var(--line-soft); padding-top:12px; margin-top:2px; }\n  .rh-affbox-promo strong { color:var(--red); font-weight:600; }\n  .rh-affbox-disclaimer { margin-top:10px; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-downloadjump { margin:-28px 0 0; display:flex; align-items:center; justify-content:space-between; gap:14px; background:#fff; border:1px solid var(--accent-soft-border); border-radius:16px; padding:13px 15px; box-shadow:var(--quickfacts-shadow); }\n  .rh-downloadjump strong { display:block; font-size:12px; font-weight:900; letter-spacing:0.08em; text-transform:uppercase; color:var(--red); line-height:1.2; }\n  .rh-downloadjump span { display:block; margin-top:3px; font-size:13px; color:var(--text-muted); line-height:1.35; }\n  .rh-downloadjump a { display:inline-flex; align-items:center; justify-content:center; flex-shrink:0; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:9px 14px; font-size:13px; font-weight:800; }\n  .rh-downloadbox { margin:4px 0 0; }\n  .rh-downloadbox-wrap { background:linear-gradient(135deg,var(--accent-soft-bg),#fff); border:1px solid var(--accent-soft-border); border-radius:18px; padding:20px; box-shadow:var(--quickfacts-shadow); }\n  .rh-downloadbox-head { display:flex; justify-content:space-between; align-items:flex-start; gap:16px; margin-bottom:14px; }\n  .rh-downloadbox-kicker { font-size:11px; font-weight:800; letter-spacing:0.12em; text-transform:uppercase; color:var(--red); margin-bottom:6px; }\n  .rh-downloadbox-title { font-family:var(--font-head); font-size:clamp(24px,3.4vw,34px); line-height:1; color:var(--text); letter-spacing:var(--heading-spacing); margin:0; }\n  .rh-downloadbox-count { flex-shrink:0; border:1px solid var(--accent-soft-border); background:#fff; color:var(--red); border-radius:999px; padding:6px 10px; font-size:11px; font-weight:800; text-transform:uppercase; }\n  .rh-downloadbox-links { display:flex; flex-wrap:wrap; gap:10px; }\n  .rh-downloadbox-link { display:inline-flex; align-items:center; justify-content:center; gap:8px; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:11px 16px; font-size:14px; font-weight:700; }\n  .rh-downloadbox-link svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-downloadbox-note { margin:14px 0 0; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-offerbox { margin:4px 0 0; }\n  .rh-offerbox-wrap { background:linear-gradient(135deg,var(--accent-soft-bg),#fff); border:1px solid var(--accent-soft-border); border-radius:18px; padding:20px; box-shadow:var(--quickfacts-shadow); }\n  .rh-offerbox-head { display:flex; justify-content:space-between; align-items:flex-start; gap:16px; margin-bottom:14px; }\n  .rh-offerbox-kicker { font-size:11px; font-weight:800; letter-spacing:0.12em; text-transform:uppercase; color:var(--red); margin-bottom:6px; }\n  .rh-offerbox-title { font-family:var(--font-head); font-size:clamp(24px,3.4vw,34px); line-height:1; color:var(--text); letter-spacing:var(--heading-spacing); margin:0; }\n  .rh-offerbox-count { flex-shrink:0; border:1px solid var(--accent-soft-border); background:#fff; color:var(--red); border-radius:999px; padding:6px 10px; font-size:11px; font-weight:800; text-transform:uppercase; }\n  .rh-offerbox-links { display:grid; grid-template-columns:repeat(auto-fit,minmax(220px,1fr)); gap:10px; }\n  .rh-offerbox-link { display:flex; align-items:center; justify-content:center; gap:8px; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:11px 16px; font-size:14px; font-weight:800; text-align:center; }\n  .rh-offerbox-link small { opacity:.82; font-size:11px; font-weight:700; }\n  .rh-offerbox-link svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-offerbox-note { margin:14px 0 0; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-offer-inline { margin:0; }\n  .rh-offer-inline-wrap { display:flex; align-items:center; justify-content:space-between; gap:16px; background:var(--surface-soft); border:1px solid var(--accent-soft-border); border-left:4px solid var(--red); border-radius:16px; padding:16px 18px; box-shadow:var(--quickfacts-shadow); }\n  .rh-offer-inline-kicker { font-size:10px; font-weight:800; letter-spacing:0.12em; text-transform:uppercase; color:var(--red); margin-bottom:4px; }\n  .rh-offer-inline-title { font-size:15px; line-height:1.35; color:var(--text); font-weight:800; }\n  .rh-offer-inline-store { margin-top:3px; font-size:12px; color:var(--text-muted); font-weight:700; }\n  .rh-offer-inline-cta { display:inline-flex; align-items:center; justify-content:center; gap:8px; flex-shrink:0; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:11px 16px; font-size:13px; font-weight:800; white-space:nowrap; }\n  .rh-offer-inline-cta svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-offer-inline-note { margin:9px 0 0; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-external-embed { margin:4px 0 0; }\n  .rh-external-embed-wrap { width:100%; background:#fff; border:1px solid var(--border); border-radius:16px; overflow:hidden; box-shadow:var(--quickfacts-shadow); }\n  .rh-external-embed-head { display:flex; align-items:center; justify-content:space-between; gap:12px; padding:14px 18px; background:var(--surface-soft); border-bottom:1px solid var(--border); }\n  .rh-external-embed-kicker { font-size:11px; font-weight:700; letter-spacing:0.08em; text-transform:uppercase; color:var(--red); }\n  .rh-external-embed-source { font-size:12px; color:var(--soft-label); }\n  .rh-external-embed-frame { position:relative; aspect-ratio:16 \/ 9; overflow:hidden; background:#000; min-height:0; }\n  .rh-external-embed-frame iframe, .rh-external-embed-frame > iframe { position:absolute !important; inset:0; width:100% !important; height:100% !important; min-height:0 !important; max-height:none !important; max-width:none !important; border:0; display:block; }\n  .rh-external-embed-body { padding:18px 20px; display:grid; gap:12px; }\n  .rh-external-embed-title { font-family:var(--font-head); font-size:24px; line-height:1; color:var(--text); letter-spacing:0.02em; }\n  .rh-external-embed-copy { font-size:14px; color:var(--text-muted); line-height:1.6; }\n  .rh-external-embed-link { display:inline-flex; align-items:center; gap:8px; width:fit-content; color:var(--red) !important; text-decoration:none !important; font-weight:700; }\n  .rh-external-embed-link svg { width:13px; height:13px; flex-shrink:0; }\n  .fbp5-section { display:flex; flex-direction:column; gap:0; }\n  .fbp5-section-label { display:inline-flex; align-items:center; gap:7px; font-size:11px; font-weight:700; letter-spacing:0.14em; text-transform:uppercase; color:var(--red); margin-bottom:10px; }\n  .fbp5-section-label::before { content:''; display:block; width:18px; height:2px; background:var(--red); }\n  .fbp5-section h2 { font-family:var(--font-head); font-size:clamp(27px,4vw,39px); letter-spacing:var(--heading-spacing); font-weight:var(--heading-weight); color:var(--text); line-height:1.05; margin-bottom:20px; }\n  .fbp5-section h2 span { color:var(--red); }\n  .fbp5-section p { font-size:17px; color:var(--copy); line-height:1.78; margin-bottom:14px; }\n  .fbp5-bullet-list { margin:18px 0 6px 20px; padding:0; display:flex; flex-direction:column; gap:10px; }\n  .fbp5-bullet-list li { font-size:16px; line-height:1.7; color:#1f2937; }\n  .fbp5-bullet-list li::marker { color:var(--red); }\n  .rh-quickfacts-grid { margin:18px 0 0; display:grid; grid-template-columns:repeat(auto-fit,minmax(220px,1fr)); gap:12px; }\n  .rh-quickfacts-card { background:#fff; border:1px solid var(--border); border-radius:16px; padding:14px 16px; box-shadow:var(--quickfacts-shadow); display:flex; flex-direction:column; gap:6px; }\n  .rh-quickfacts-label { font-size:12px; font-weight:800; letter-spacing:0.08em; text-transform:uppercase; color:var(--red); }\n  .rh-quickfacts-value { font-size:15px; line-height:1.6; color:#1f2937; }\n  .fbp5-highlight { background:var(--red-light); border-left:4px solid var(--red); border-radius:0 10px 10px 0; padding:15px 19px; margin:18px 0 0; font-size:16px; color:var(--copy); line-height:1.65; }\n  .fbp5-info { background:var(--surface-soft); border:1px solid var(--border); border-radius:10px; padding:15px 19px; margin:18px 0 0; font-size:15px; color:var(--text-muted); line-height:1.65; }\n  .fbp5-scheda { background:var(--card); border:1px solid var(--border); border-radius:14px; overflow:hidden; margin:20px 0 0; }\n  .fbp5-scheda-header { background:var(--red); color:#fff; padding:14px 20px; font-family:var(--font-head); font-size:20px; font-weight:var(--heading-weight); letter-spacing:var(--spec-header-spacing); }\n  .fbp5-scheda-row { display:flex; border-bottom:1px solid var(--border); }\n  .fbp5-scheda-row:last-child { border-bottom:none; }\n  .fbp5-scheda-key { width:42%; padding:11px 16px; font-size:13px; font-weight:700; color:var(--text-muted); text-transform:uppercase; letter-spacing:0.06em; background:var(--surface-soft); flex-shrink:0; }\n  .fbp5-scheda-val { padding:11px 16px; font-size:14px; color:var(--text); font-weight:500; line-height:1.5; }\n  @media(max-width:600px) {\n    .fbp5-wrap { padding:0 14px 60px; gap:40px; }\n    .fbp5-section h2 { font-size:32px; }\n    .fbp5-scheda-row { flex-direction:column; }\n    .fbp5-scheda-key { width:100%; }\n    .rh-phonebox-header { padding:18px 16px; flex-direction:column; align-items:center; }\n    .rh-phonebox-hero { width:150px; height:200px; }\n    .rh-phonebox-highlights { grid-template-columns:repeat(2,minmax(0,1fr)); }\n    .rh-phonebox-colors { padding:16px; }\n    .rh-phonebox-section { grid-template-columns:1fr; }\n    .rh-phonebox-section-label { padding:14px 20px; border-right:none; border-bottom:1px solid var(--border); }\n    .rh-phonebox-section-values { padding:14px 20px; }\n    .rh-affbox-grid { grid-template-columns:1fr; }\n    .rh-affbox-col:not(:last-child) { border-right:none; border-bottom:1px solid var(--line-soft); }\n    .rh-affbox-cta { width:100%; }\n    .rh-downloadjump { align-items:flex-start; flex-direction:column; margin:-22px 0 0; }\n    .rh-downloadjump a { width:100%; }\n    .rh-downloadbox-head { flex-direction:column; }\n    .rh-downloadbox-link { width:100%; }\n    .rh-offerbox-head { flex-direction:column; }\n    .rh-offerbox-links { grid-template-columns:1fr; }\n    .rh-offer-inline-wrap { flex-direction:column; align-items:flex-start; }\n    .rh-offer-inline-cta { width:100%; }\n  }\n<\/style>\n<div class=\"fbp5-wrap rh-json-article\" id=\"rh-article-mrb895g4-xj51v\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>Una nuova analisi di Blackpoint porta l\u2019attenzione su <strong>Avalon<\/strong>, un framework malevolo modulare costruito con l\u2019aiuto dell\u2019AI generativa. Il punto critico non \u00e8 solo la presenza di nuove funzioni d\u2019attacco, ma la struttura del progetto: invece di un singolo malware specializzato, Avalon pu\u00f2 caricare componenti diversi in base all\u2019obiettivo.<\/p><p>\u00c8 un passaggio importante nel panorama della sicurezza informatica perch\u00e9 mostra come anche attori con competenze di sviluppo non particolarmente elevate possano assemblare strumenti offensivi pi\u00f9 completi e flessibili. Per le aziende, questo significa dover gestire minacce meno prevedibili e pi\u00f9 facili da adattare a campagne mirate.<\/p>\n  <\/div><figure class=\"wp-block-image size-large\" style=\"margin:18px 0;display:block;clear:both;width:100%;position:relative;z-index:1\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/avalon-df8ffc91-952f-4910-ac2a-f3f8-936iej1vpg.webp\" target=\"_blank\" rel=\"noopener\" style=\"display:block;width:100%;position:relative;z-index:2;pointer-events:auto;cursor:zoom-in\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/avalon-df8ffc91-952f-4910-ac2a-f3f8-936iej1vpg.webp\" alt=\"\u5b89\u5168\u516c\u53f8\u66dd\u5149\u9ed1\u5ba2\u5229\u7528 AI \u6253\u9020\u6a21\u5757\u5316\u6076\u610f\u6846\u67b6 Avalon\uff0c\u53ef\u6309\u9700\u52a0\u8f7d\u5404\u79cd\u7ec4\u4ef6\" loading=\"lazy\" style=\"display:block;max-width:100%;height:auto;margin:0 auto;pointer-events:auto\"><\/a><\/figure>\n  \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Panoramica<\/div>\n        <h2>Avalon \u00e8 un framework modulare che unisce pi\u00f9 <span>capacit\u00e0 d\u2019attacco<\/span><\/h2>\n        <p>Avalon si distingue dai malware AI-based visti finora perch\u00e9 non si limita a una singola funzione, come un trojan, uno script per il furto dati o un ransomware isolato. La sua impostazione \u00e8 quella di un <strong>framework modulare<\/strong>, con componenti caricabili su richiesta per costruire una catena d\u2019attacco pi\u00f9 flessibile.<\/p><p>Questa architettura consente agli aggressori di adattare il comportamento del malware al contesto della vittima, scegliendo i moduli pi\u00f9 utili per accesso, persistenza, sottrazione di credenziali o cifratura dei file. In pratica, Avalon punta a ridurre la frammentazione degli strumenti usati nelle campagne malevole e a centralizzare pi\u00f9 funzioni in un\u2019unica base operativa.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Integra <strong>pi\u00f9 capacit\u00e0 offensive<\/strong> invece di un solo payload.<\/li><li>Pu\u00f2 caricare moduli differenti in base alle necessit\u00e0 dell\u2019attacco.<\/li><li>Offre una flessibilit\u00e0 superiore rispetto al malware tradizionale a funzione singola.<\/li><li>Rappresenta un uso pi\u00f9 maturo dell\u2019AI generativa nello sviluppo di strumenti malevoli.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Nome<\/div>\n        <div class=\"rh-quickfacts-value\">Avalon<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Tipologia<\/div>\n        <div class=\"rh-quickfacts-value\">Framework malevolo modulare<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Elemento distintivo<\/div>\n        <div class=\"rh-quickfacts-value\">Uso dell\u2019AI per assemblare pi\u00f9 componenti d\u2019attacco<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Il valore tecnico di Avalon non sta nella qualit\u00e0 del codice, ma nella capacit\u00e0 di unificare moduli diversi in una piattaforma d\u2019attacco adattabile.<\/div>\n        <div class=\"fbp5-info\">Il caso \u00e8 rilevante perch\u00e9 mostra un\u2019evoluzione concreta dell\u2019uso dell\u2019AI nel cybercrime, con strumenti pi\u00f9 componibili e meno dipendenti da competenze avanzate di sviluppo.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Dati chiave su Avalon<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Struttura<\/div>\n            <div class=\"fbp5-scheda-val\">Modulare<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Funzionamento<\/div>\n            <div class=\"fbp5-scheda-val\">Caricamento di componenti in base allo scenario<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Obiettivo<\/div>\n            <div class=\"fbp5-scheda-val\">Aumentare la flessibilit\u00e0 operativa dell\u2019attacco<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Operativit\u00e0<\/div>\n        <h2>Come agisce Avalon dopo il primo accesso ai <span>sistemi compromessi<\/span><\/h2>\n        <p>L\u2019infezione parte in genere da tecniche di phishing, usate per avvicinare la vittima e ottenere il primo punto d\u2019ingresso. Una volta compromesso il dispositivo, Avalon viene impiegato per sottrarre credenziali, sabotare i backup e, se necessario, caricare il modulo ransomware <strong>CrownX<\/strong> per cifrare i file presenti nel sistema.<\/p><p>La sequenza \u00e8 significativa perch\u00e9 combina fasi diverse dell\u2019attacco in una sola piattaforma: accesso iniziale, raccolta di dati sensibili, indebolimento delle opzioni di ripristino e infine estorsione. Questo approccio aumenta l\u2019efficacia operativa e rende pi\u00f9 difficile interrompere l\u2019attacco nelle sue fasi intermedie.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Il contatto iniziale avviene spesso tramite <strong>phishing<\/strong>.<\/li><li>Dopo la compromissione, il framework pu\u00f2 rubare credenziali dal dispositivo.<\/li><li>Tra le azioni osservate c\u2019\u00e8 la distruzione o compromissione dei backup.<\/li><li>Pu\u00f2 essere caricato il modulo ransomware CrownX per la cifratura dei file.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Attivit\u00e0 post-intrusione<\/div>\n        <div class=\"rh-quickfacts-value\">Furto credenziali e sabotaggio backup<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">L\u2019aspetto pi\u00f9 pericoloso \u00e8 la continuit\u00e0 tra intrusione, furto dati e ransomware, gestita con moduli caricati in base all\u2019obiettivo.<\/div>\n        <div class=\"fbp5-info\">Per la difesa aziendale questo tipo di struttura richiede controlli efficaci sia sulla posta e sull\u2019accesso iniziale sia sul comportamento anomalo dei sistemi dopo la compromissione.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Fasi operative osservate<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Ingresso<\/div>\n            <div class=\"fbp5-scheda-val\">Tecniche di phishing<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Movimento successivo<\/div>\n            <div class=\"fbp5-scheda-val\">Uso di Avalon sul dispositivo violato<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Azioni principali<\/div>\n            <div class=\"fbp5-scheda-val\">Furto credenziali, distruzione backup, cifratura file<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Analisi<\/div>\n        <h2>Perch\u00e9 Avalon segnala un salto pratico nell\u2019uso <span>dell\u2019AI nel cybercrime<\/span><\/h2>\n        <p>I ricercatori hanno notato tracce riconducibili alla generazione automatica del codice. Pur non brillando per qualit\u00e0 tecnica, Avalon mostra un design abbastanza completo da suggerire che l\u2019autore non disponga di competenze di programmazione particolarmente solide, ma sia comunque riuscito a mettere insieme un toolkit offensivo articolato.<\/p><p>\u00c8 questo il dato pi\u00f9 interessante: l\u2019AI generativa pu\u00f2 abbassare la soglia d\u2019ingresso nello sviluppo di malware pi\u00f9 complessi. In altre parole, strumenti che in passato richiedevano maggiore esperienza possono essere costruiti pi\u00f9 rapidamente, con un impatto diretto sulla quantit\u00e0 e variet\u00e0 delle minacce che team IT e aziende devono affrontare.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Il codice mostra <strong>indizi di generazione AI<\/strong>.<\/li><li>La qualit\u00e0 del codice non \u00e8 elevata, per\u00f2 la struttura del framework \u00e8 completa.<\/li><li>L\u2019AI pu\u00f2 aiutare aggressori meno esperti a creare strumenti pi\u00f9 complessi.<\/li><li>La pressione sulla difesa cresce perch\u00e9 sviluppo e adattamento delle minacce diventano pi\u00f9 rapidi.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Impressione generale<\/div>\n        <div class=\"rh-quickfacts-value\">Progetto completo nonostante limiti tecnici<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Impatto<\/div>\n        <div class=\"rh-quickfacts-value\">Riduzione della barriera tecnica per creare malware<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Avalon non colpisce per raffinatezza del codice, ma perch\u00e9 dimostra quanto l\u2019AI possa accelerare la creazione di malware modulari anche in mano ad attori meno preparati.<\/div>\n        <div class=\"fbp5-info\">Per chi segue il settore sicurezza, il caso conferma che l\u2019AI non sta solo automatizzando singoli script malevoli, ma sta iniziando a sostenere la costruzione di piattaforme offensive pi\u00f9 complete.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Perch\u00e9 il caso Avalon conta<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Indicatore principale<\/div>\n            <div class=\"fbp5-scheda-val\">Framework complesso sviluppato con supporto AI<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Rischio emergente<\/div>\n            <div class=\"fbp5-scheda-val\">Maggiore accessibilit\u00e0 a strumenti offensivi evoluti<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Conseguenza<\/div>\n            <div class=\"fbp5-scheda-val\">Difesa aziendale pi\u00f9 difficile da standardizzare<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n<\/div><div class=\"rh-attribution-pills\" style=\"display:flex;gap:10px;flex-wrap:wrap;justify-content:flex-start;margin:16px 0 0\"><a href=\"https:\/\/www.ithome.com\/0\/973\/757.htm\" target=\"_blank\" rel=\"noopener\" title=\"Via: VIA\" aria-label=\"Via: VIA\" style=\"display:inline-flex;align-items:center;gap:8px;padding:10px 16px;border-radius:16px;background:linear-gradient(135deg,#fff7ed,#ffedd5);color:#c2410c;text-decoration:none;font-size:11px;font-weight:900;letter-spacing:.08em;text-transform:uppercase;border:1px solid rgba(249,115,22,.20);box-shadow:0 8px 22px rgba(249,115,22,.08)\">Via<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Avalon \u00e8 un framework malevolo modulare sviluppato con supporto AI, progettato per combinare furto credenziali, sabotaggio dei backup e ransomware.<\/p>\n","protected":false},"author":5,"featured_media":37105,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"Avalon framework malware AI","footnotes":""},"categories":[480],"tags":[933],"class_list":["post-37106","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Avalon, scoperto un framework malware modulare creato con l\u2019aiuto dell\u2019AI<\/title>\n<meta name=\"description\" content=\"Blackpoint ha individuato Avalon, un framework malevolo modulare costruito con supporto AI, capace di rubare credenziali, colpire i backup e caricare ransomware.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/avalon-framework-malware-modulare-ai\/\" \/>\n<meta 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