{"id":167488,"date":"2026-04-04T17:11:55","date_gmt":"2026-04-04T15:11:56","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/ataki-gddrhammer-i-geforge-iskazhayushhie-pamyat-gpu-dlya-dostupa-ko-vsej-pamyati-cpu"},"modified":"2026-04-04T17:11:55","modified_gmt":"2026-04-04T15:11:56","slug":"ataki-gddrhammer-i-geforge-iskazhayushhie-pamyat-gpu-dlya-dostupa-ko-vsej-pamyati-cpu","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hu\/blog\/news\/ataki-gddrhammer-i-geforge-iskazhayushhie-pamyat-gpu-dlya-dostupa-ko-vsej-pamyati-cpu","title":{"rendered":"GDDR-Hammer \u00e9s GeForge t\u00e1mad\u00e1sok, amelyek a GPU mem\u00f3ri\u00e1j\u00e1nak torz\u00edt\u00e1s\u00e1val teljes hozz\u00e1f\u00e9r\u00e9st biztos\u00edtanak a CPU \u00f6sszes mem\u00f3ri\u00e1j\u00e1hoz","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Az Egyes\u00fclt \u00c1llamok \u00e9s Ausztr\u00e1lia t\u00f6bb egyetem\u00e9nek kutat\u00f3i kidolgoztak k\u00e9t Rowhammer t\u00edpus\u00fa t\u00e1mad\u00e1st - GDDRHammer \u00e9s GeForge - amelyek lehet\u0151v\u00e9 teszik, hogy egy nem privilegiz\u00e1lt CUDA mag fut\u00e1sa sor\u00e1n az NVIDIA GPU-n egyes bitek torz\u00edt\u00e1s\u00e1t \u00e9rj\u00e9k el a GDDR vide\u00f3mem\u00f3ria chipjeiben. A tavaly bemutatott GPUHammer m\u00f3dszerhez k\u00e9pest az \u00faj t\u00e1mad\u00e1sok nem korl\u00e1toz\u00f3dnak a GPU mem\u00f3ri\u00e1j\u00e1ban feldolgozott adatokra, hanem teljes hozz\u00e1f\u00e9r\u00e9st biztos\u00edtanak a CPU c\u00edmter\u00fclet\u00e9hez tartoz\u00f3 \u00f6sszes f\u0151mem\u00f3ri\u00e1hoz. A kutat\u00f3k olyan exploitokat mutattak be, amelyek root hozz\u00e1f\u00e9r\u00e9st biztos\u00edtanak a f\u0151 rendszerhez egy nem privilegiz\u00e1lt CUDA mag fut\u00e1sa sor\u00e1n a GPU-n.    <\/p>\n<p>Mindk\u00e9t t\u00e1mad\u00e1s el\u0151id\u00e9zi a t\u00f6lt\u00e9s korai elveszt\u00e9s\u00e9t bizonyos videomem\u00f3ria cell\u00e1kban, amelyekhez a t\u00e1mad\u00f3knak nincs k\u00f6zvetlen hozz\u00e1f\u00e9r\u00e9s\u00fck, ami a t\u00e1rolt bitek megv\u00e1ltoz\u00e1s\u00e1hoz vezet. A CPU c\u00edmtartom\u00e1ny\u00e1hoz tartoz\u00f3 mem\u00f3ria olvas\u00e1si \u00e9s \u00edr\u00e1si lehet\u0151s\u00e9ge a GPU mem\u00f3riakioszt\u00f3 (cudaMalloc) m\u0171k\u00f6d\u00e9s\u00e9nek megzavar\u00e1s\u00e1val val\u00f3sul meg, \u00edgy megs\u00e9rtve a GPU mem\u00f3riaizol\u00e1ci\u00f3j\u00e1t, \u00e9s v\u00e9letlenszer\u0171 GPU vagy CPU fizikai c\u00edmekhez t\u00e1rs\u00edtva a GPU virtu\u00e1lis c\u00edmeit.      <\/p>\n<p>A beavatkoz\u00e1s a GPU mem\u00f3ri\u00e1j\u00e1ban l\u00e9v\u0151 bitek \u00e9rt\u00e9keinek torz\u00edt\u00e1s\u00e1n kereszt\u00fcl t\u00f6rt\u00e9nik, ahol a virtu\u00e1lis c\u00edmek fizikai c\u00edmekk\u00e9 val\u00f3 \u00e1tkonvert\u00e1l\u00e1s\u00e1\u00e9rt felel\u0151s mem\u00f3ria oldalait t\u00e1rolj\u00e1k. A GDDRHammer \u00e9s GeForge t\u00e1mad\u00e1sok k\u00f6z\u00f6tti k\u00fcl\u00f6nbs\u00e9gek abban rejlenek, hogy a GDDRHammer m\u00f3dszer a legals\u00f3 szint\u0171 oldal t\u00e1bl\u00e1t (PT - Last Level Page Table) m\u00f3dos\u00edtja, m\u00edg a GeForge a legals\u00f3 szint\u0171 oldal k\u00f6nyvt\u00e1rat (PD0 - Last Level Page Directory).     <\/p>\n<p>Ezen k\u00edv\u00fcl a c\u00edmford\u00edt\u00f3 t\u00e1bl\u00e1k k\u00f6zvetlen GPU hozz\u00e1f\u00e9r\u00e9st haszn\u00e1lnak a CPU mem\u00f3ri\u00e1j\u00e1hoz, \u00edgy a GPU oldal-t\u00e1bl\u00e1j\u00e1ban tal\u00e1lhat\u00f3 c\u00edm fizikai c\u00edmre m\u00f3dos\u00edt\u00e1sa a f\u0151 RAM-ban \u00e9s az APERTURE jelz\u00e9s aktiv\u00e1l\u00e1sa, amely lehet\u0151v\u00e9 teszi a CPU mem\u00f3ria t\u00e9rk\u00e9pez\u00e9si m\u00f3dot, lehet\u0151v\u00e9 teszi az adatok olvas\u00e1s\u00e1t \u00e9s \u00edr\u00e1s\u00e1t a f\u0151 mem\u00f3ria el\u00e9r\u00e9s\u00e9vel PCIe buszon, IOMMU kikapcsolt \u00e1llapot\u00e1ban (alap\u00e9rtelmez\u00e9s szerint kikapcsolva).    <center><img decoding=\"async\" alt=\"GDDR-Hammer \u00e9s GeForge t\u00e1mad\u00e1sok, amelyek a GPU mem\u00f3ri\u00e1j\u00e1nak torz\u00edt\u00e1s\u00e1val teljes hozz\u00e1f\u00e9r\u00e9st biztos\u00edtanak a CPU \u00f6sszes mem\u00f3ri\u00e1j\u00e1hoz\" src=\"\/wp-content\/uploads\/2026\/04\/cf6d67b627148fba008ba487490a3f2a.png\" style=\"display:block;margin: 0 auto;\" \/><\/center>    <center><img decoding=\"async\" alt=\"GDDR-Hammer \u00e9s GeForge t\u00e1mad\u00e1sok, amelyek a GPU mem\u00f3ri\u00e1j\u00e1nak torz\u00edt\u00e1s\u00e1val teljes hozz\u00e1f\u00e9r\u00e9st biztos\u00edtanak a CPU \u00f6sszes mem\u00f3ri\u00e1j\u00e1hoz\" src=\"\/wp-content\/uploads\/2026\/04\/1c2d3baaf4fdf80c88dfdeb3bcb1993f.png\" style=\"display:block;margin: 0 auto;\" \/><\/center>      <\/p>\n<p>Sikeres t\u00e1mad\u00e1sokat mutattak be a magas teljes\u00edtm\u00e9ny\u0171 NVIDIA RTX A6000 grafikus k\u00e1rty\u00e1kon, amelyeken az Ampere mikroarchitekt\u00fara alapul (az \u00faj k\u00e1rty\u00e1k \u00e1ra 6850 doll\u00e1rr\u00f3l indul, a haszn\u00e1ltak\u00e9 4000 doll\u00e1rr\u00f3l), valamint a h\u00e1ztart\u00e1si NVIDIA RTX 3060 modelleken (250-300 doll\u00e1r). A Rowhammer v\u00e9delm\u00e9t megker\u00fcl\u0151 technik\u00e1k kombin\u00e1lva a GPU \u00e1ltal biztos\u00edtott p\u00e1rhuzamos v\u00e9grehajt\u00e1si lehet\u0151s\u00e9gekkel 64-szeres\u00e9re n\u00f6velt\u00e9k a cell\u00e1k torzul\u00e1s\u00e1nak gyakoris\u00e1g\u00e1t a kor\u00e1bbi t\u00e1mad\u00e1sokhoz k\u00e9pest. Ideiglenes int\u00e9zked\u00e9sk\u00e9nt a t\u00e1mad\u00e1sok blokkol\u00e1s\u00e1ra az 'nvidia-smi -e 1' parancs aktiv\u00e1lhatja az ECC (Error Correcting Codes) hibakorrekci\u00f3s m\u00f3dot, de ez tov\u00e1bbi k\u00f6lts\u00e9gekkel j\u00e1r, \u00e9s potenci\u00e1lisan megker\u00fclhet\u0151, olyan t\u00e1mad\u00e1si m\u00f3dszerek alkalmaz\u00e1s\u00e1val, mint az ECCploit \u00e9s az ECC.fail.            <center>  <video controls=\"\" style=\"width: 700px; height: 400px; max-width:100%\"><source src=\"https:\/\/gddr.fail\/files\/geforge-demo.mp4\" type=\"video\/mp4\"><\/video>  <\/center>      <\/p>\n<p>A RowHammer t\u00e1mad\u00e1s lehet\u0151v\u00e9 teszi a DRAM mem\u00f3ria egyes bitek tartalm\u00e1nak torz\u00edt\u00e1s\u00e1t a szomsz\u00e9dos mem\u00f3ria\u00fcregek adataib\u00f3l val\u00f3 ciklikus olvas\u00e1s r\u00e9v\u00e9n. Mivel a DRAM mem\u00f3ria egy k\u00e9tdimenzi\u00f3s cella t\u00f6mb\u00f6t k\u00e9pvisel, ahol minden cella egy kondenz\u00e1torb\u00f3l \u00e9s egy tranzisztorb\u00f3l \u00e1ll, a folyamatos olvas\u00e1s egy bizonyos mem\u00f3ria ter\u00fcletr\u0151l fesz\u00fclts\u00e9g ingadoz\u00e1sokat \u00e9s anom\u00e1li\u00e1kat okoz, amelyek kis mennyis\u00e9g\u0171 t\u00f6lt\u00e9s elveszt\u00e9s\u00e9hez vezetnek a szomsz\u00e9dos cell\u00e1kban. Ha az olvas\u00e1si intenzit\u00e1s magas, akkor a szomsz\u00e9dos cella elegend\u0151 t\u00f6lt\u00e9st vesz\u00edthet ahhoz, hogy a k\u00f6vetkez\u0151 regener\u00e1l\u00e1si ciklus m\u00e1r nem tudja vissza\u00e1ll\u00edtani az eredeti \u00e1llapot\u00e1t, ami a cell\u00e1ban t\u00e1rolt adatok \u00e9rt\u00e9k\u00e9nek megv\u00e1ltoz\u00e1s\u00e1hoz vezet.         <\/p>\n<p>A Rowhammer t\u00e1mad\u00e1si m\u00f3dszert 2014-ben javasolt\u00e1k, ezt k\u00f6vet\u0151en pedig a biztons\u00e1gi szak\u00e9rt\u0151k \u00e9s a hardvergy\u00e1rt\u00f3k k\u00f6z\u00f6tt elkezd\u0151d\u00f6tt a macska-eg\u00e9r j\u00e1t\u00e9k: a mem\u00f3riachipek gy\u00e1rt\u00f3i megpr\u00f3b\u00e1lt\u00e1k blokkolni a sebezhet\u0151s\u00e9get, m\u00edg a kutat\u00f3k \u00faj m\u00f3dszereket tal\u00e1ltak annak megker\u00fcl\u00e9s\u00e9re. P\u00e9ld\u00e1ul a RowHammer ellen a chipgy\u00e1rt\u00f3k TRR (Target Row Refresh) mechanizmust adtak hozz\u00e1, de kider\u00fclt, hogy ez a mechanizmus csak bizonyos esetekben akad\u00e1lyozza meg a cell\u00e1k torzul\u00e1s\u00e1t, nem v\u00e9d meg minden lehets\u00e9ges t\u00e1mad\u00e1si vari\u00e1ci\u00f3t\u00f3l. T\u00e1mad\u00e1si m\u00f3dszereket dolgoztak ki DDR3, DDR4 \u00e9s DDR5 chipekhez Intel, AMD \u00e9s ARM processzoros rendszerekben, valamint NVIDIA GPU GDDR mem\u00f3ri\u00e1j\u00e1hoz. Ezenk\u00edv\u00fcl felfedezt\u00e9k az ECC hibakorrekci\u00f3 megker\u00fcl\u00e9s\u00e9nek m\u00f3djait, \u00e9s javasolt\u00e1k a t\u00e1mad\u00e1sok v\u00e9grehajt\u00e1s\u00e1nak lehet\u0151s\u00e9geit h\u00e1l\u00f3zaton kereszt\u00fcl \u00e9s JavaScript k\u00f3d b\u00f6ng\u00e9sz\u0151ben t\u00f6rt\u00e9n\u0151 futtat\u00e1s\u00e1val.<br \/>\n<br \/>Forr\u00e1s: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=65141\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0418\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0438 \u0438\u0437 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u043e\u0432 \u0421\u0428\u0410 \u0438 \u0410\u0432\u0441\u0442\u0440\u0430\u043b\u0438\u0438 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043b\u0438 \u0434\u0432\u0435 \u0430\u0442\u0430\u043a\u0438 \u043a\u043b\u0430\u0441\u0441\u0430 Rowhammer &#8212; GDDRHammer \u0438 GeForge, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0438\u0435 \u043f\u0440\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0438 \u043d\u0435\u043f\u0440\u0438\u0432\u0438\u043b\u0435\u0433\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e \u044f\u0434\u0440\u0430 CUDA \u043d\u0430 GPU NVIDIA \u0434\u043e\u0431\u0438\u0442\u044c\u0441\u044f \u0438\u0441\u043a\u0430\u0436\u0435\u043d\u0438\u044f \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0445 \u0431\u0438\u0442\u043e\u0432 \u0432 \u0447\u0438\u043f\u0430\u0445 \u0432\u0438\u0434\u0435\u043e\u043f\u0430\u043c\u044f\u0442\u0438 GDDR. \u0412 \u043e\u0442\u043b\u0438\u0447\u0438\u0435 \u043e\u0442 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0432 \u043f\u0440\u043e\u0448\u043b\u043e\u043c \u0433\u043e\u0434\u0443 \u043c\u0435\u0442\u043e\u0434\u0430 GPUHammer, \u043d\u043e\u0432\u044b\u0435 \u0430\u0442\u0430\u043a\u0438 \u043d\u0435 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0438\u0432\u0430\u044e\u0442\u0441\u044f \u0432\u043e\u0437\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0435\u043c \u043d\u0430 \u0434\u0430\u043d\u043d\u044b\u0435, \u043e\u0431\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0435\u043c\u044b\u0435 \u0432 \u043f\u0430\u043c\u044f\u0442\u0438 GPU, \u0430 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0442 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":167489,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-167488","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - 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