{"id":35296,"date":"2019-10-31T22:03:29","date_gmt":"2019-10-31T19:03:29","guid":{"rendered":"https:\/\/prohoster.info\/blog\/predstavlena-novaya-tehnika-skrytoj-identifikatsii-sistemy-i-brauzera\/"},"modified":"2019-10-31T22:03:29","modified_gmt":"2019-10-31T19:03:29","slug":"predstavlena-novaya-tehnika-skrytoj-identifikatsii-sistemy-i-brauzera","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sv\/blog\/news\/predstavlena-novaya-tehnika-skrytoj-identifikatsii-sistemy-i-brauzera","title":{"rendered":"En ny teknik f\u00f6r hemlig identifiering av system och webbl\u00e4sare har presenterats","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

En grupp forskare fr\u00e5n Graz tekniska universitet (\u00d6sterrike), tidigare k\u00e4nd f\u00f6r utvecklingen av attackmetoder MDS<\/a><\/noindex>, NetSpectre<\/a><\/noindex> och Throwhammer<\/a><\/noindex>, den f\u00f6rsta dokumenterade h\u00e4ndelsen av en cyberattack, som huvudsakligen genomf\u00f6rdes av AI. En statligt st\u00f6dd kinesisk grupp anv\u00e4nde AI-agenter f\u00f6r att autonomt hacka cirka 30 m\u00e5l v\u00e4rlden \u00f6ver. AI:n genomf\u00f6rde sj\u00e4lv mellan 80 % och 90 % av de taktiska operationerna. Detta intr\u00e4ffade redan innan agentbaserade system kraftigt f\u00f6rst\u00e4rktes och innan nya farliga till\u00e4mpningsmetoder uppkom.<\/a><\/noindex> uppgifter om en ny analysmetod via sidokanaler som m\u00f6jligg\u00f6r att best\u00e4mma den exakta versionen av webbl\u00e4saren, det anv\u00e4nda operativsystemet, CPU-arkitekturen och anv\u00e4ndningen av till\u00e4gg f\u00f6r att motverka dold identifiering. <\/p>\n

F\u00f6r att fastst\u00e4lla dessa parametrar r\u00e4cker det med att k\u00f6ra JavaScript-kod som forskarna har f\u00f6rberett i webbl\u00e4saren. I praktiken kan metoden anv\u00e4ndas inte bara som en ytterligare k\u00e4lla f\u00f6r indirekt identifiering av anv\u00e4ndaren, utan ocks\u00e5 f\u00f6r att best\u00e4mma parametrarna f\u00f6r systemmilj\u00f6n f\u00f6r m\u00e5lmedveten anv\u00e4ndning av exploits med h\u00e4nsyn till OS, arkitektur och webbl\u00e4sare. Metoden \u00e4r effektiv \u00e4ven n\u00e4r den anv\u00e4nds i webbl\u00e4sare som implementerar mekanismer f\u00f6r att blockera dold identifiering, som Tor Browser. K\u00e4llkoden till prototypen som implementerar metoden som offentlig dom\u00e4n (<\/a><\/noindex> licensieras under MIT.<\/p>\n

Best\u00e4mningen g\u00f6rs p\u00e5 basis av m\u00f6nster av tillst\u00e5ndsegenskaper i JavaScript och egenskaperna f\u00f6r k\u00f6rningstiderna av operationer, som beror p\u00e5 funktionerna i JIT, CPU och minneshanteringsmekanismer. Best\u00e4mningen av egenskaper g\u00f6rs genom att generera en lista \u00f6ver alla objekt som \u00e4r tillg\u00e4ngliga fr\u00e5n JavaScript. Som det visade sig korrelerar antalet objekt direkt med webbl\u00e4sarens motor och dess version. <\/p>\n

function getProperties(o) {
\n var result = [];
\n while (o !== null) {
\n result = result.concat(Reflect.ownKeys(o));
\n o = Object.getPrototypeOf(o);
\n }
\n return result;
\n }<\/p>\n

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F\u00f6r att best\u00e4mma CPU anv\u00e4nds en utv\u00e4rdering av tidsdifferenserna i k\u00f6rningen av olika typiska kodblock, vars bearbetning beror p\u00e5 arkitekturen av kommandoset med h\u00e4nsyn till JIT-beteende (det fastst\u00e4lls hur m\u00e5nga CPU-register som kommer att anv\u00e4ndas och i vilka fall JIT kommer att generera effektiv kod med optimeringar och inbegripande av ut\u00f6kade instruktioner, och n\u00e4r det inte g\u00f6r det). F\u00f6r att best\u00e4mma typen av minnesf\u00f6rdelning och operativsystem m\u00e4ts ocks\u00e5 tidsdifferensen f\u00f6r minnesallokering f\u00f6r olika strukturer, vilket ger en uppfattning om storleken p\u00e5 minnesblock. <\/p>\n

De parametrar som fastst\u00e4lls under k\u00f6rningen av skriptet j\u00e4mf\u00f6rs med referensv\u00e4rden som \u00e4r typiska f\u00f6r f\u00f6rhandspr\u00f6vade milj\u00f6er. Under kontrollen gjorde den utvecklade tekniken det m\u00f6jligt att exakt identifiera 40 olika testmilj\u00f6er, vilket fastst\u00e4llde versionerna av de anv\u00e4nda webbl\u00e4sarna, CPU-tillverkaren, det anv\u00e4nda operativsystemet och om det k\u00f6rdes p\u00e5 riktig h\u00e5rdvara eller i en virtuell maskin.<\/p>\n

S\u00e4rskilt m\u00e4rks m\u00f6jligheten att identifiera webbl\u00e4sartill\u00e4gg och till och med specifika inst\u00e4llningar f\u00f6r till\u00e4gg, inklusive till\u00e4gg som \u00e4r avsedda f\u00f6r att blockera metoder f\u00f6r dold identifiering eller aktiviteter f\u00f6r privat surfning. I kontexten av den f\u00f6reslagna metoden blir s\u00e5dana till\u00e4gg en ytterligare datak\u00e4lla f\u00f6r identifiering. Till\u00e4gg identifieras genom att utv\u00e4rdera f\u00f6rvr\u00e4ngningar av parametrarna i den ursprungliga milj\u00f6n som inf\u00f6rs av till\u00e4ggen.<\/p>\n

Bland andra identifieringsmetoder kan indirekta data som sk\u00e4rmuppl\u00f6sning<\/a><\/noindex>, en lista \u00f6ver st\u00f6dda MIME-typer, specifika parametrar i rubriker (HTTP\/2<\/a><\/noindex> och HTTPS<\/a><\/noindex>), analys av installerade till\u00e4gg och typsnitt<\/a><\/noindex>, tillg\u00e4nglighet av vissa Web API:er, specifika f\u00f6r grafikkort funktioner<\/a><\/noindex> rendering med hj\u00e4lp av WebGL och Canvas<\/a><\/noindex>, manipulering<\/a><\/noindex> med CSS, analys av arbetss\u00e4tt med musen<\/a><\/noindex> och tangentbordet<\/a><\/noindex>.<\/p>\n

<\/a><\/noindex><\/p>\n

K\u00e4lla: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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