{"id":120455,"date":"2024-11-02T13:09:07","date_gmt":"2024-11-02T11:09:07","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-ispolzoval-bolshuyu-yazykovuyu-model-dlya-vyyavleniya-uyazvimosti-v-sqlite"},"modified":"2024-11-02T13:09:07","modified_gmt":"2024-11-02T11:09:07","slug":"google-ispolzoval-bolshuyu-yazykovuyu-model-dlya-vyyavleniya-uyazvimosti-v-sqlite","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/google-ispolzoval-bolshuyu-yazykovuyu-model-dlya-vyyavleniya-uyazvimosti-v-sqlite","title":{"rendered":"Google a folosit un model lingvistic mare pentru a identifica vulnerabilit\u0103\u021bi \u00een SQLite","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Cercet\u0103torii din cadrul Google Project Zero \u0219i Google DeepMind au publicat un raport despre dezvoltarea sistemului AI Big Sleep, construit pe baza modelului lingvistic mare Gemini 1.5 Pro, destinat identific\u0103rii vulnerabilit\u0103\u021bilor din codul surs\u0103. O realizare a proiectului a fost descoperirea utiliz\u00e2nd Big Sleep a primei vulnerabilit\u0103\u021bi exploatabile, care era necunoscut\u0103 anterior, \u00eentr-un proiect existent. Vulnerabilitatea a fost identificat\u0103 \u00een urma analizei de c\u0103tre sistemul AI a codului surs\u0103 al bazei de date SQLite \u0219i conduce la o subroutare a buffer-ului (buffer underflow). Problema a fost g\u0103sit\u0103 \u00een codul recent adoptat \u0219i a fost remediat\u0103 \u00eenainte de a ajunge \u00een versiunea final\u0103 SQLite 3.47.0. <\/p>\n

Modelul poate fi folosit ca un instrument auxiliar \u00een domenii unde este necesar\u0103 efectuarea unor revizii manuale consumatoare de timp, precum \u0219i pentru organizarea unei verific\u0103ri automate a noului cod \u00een scopul identific\u0103rii vulnerabilit\u0103\u021bilor \u00een cele mai timpurii etape de dezvoltare (\u00eenainte ca codul problematizat s\u0103 ajung\u0103 \u00een versiunile finale). Se estimeaz\u0103 c\u0103 modelul AI dezvoltat va permite identificarea problemelor de securitate din cod care sunt dificile de detectat prin testarea fuzzing. <\/p>\n

\u00cen plus, se remarc\u0103 declara\u021bia directorului general al Google, conform c\u0103reia \u00een prezent, mai mult de un sfert (25%) din tot codul creat \u00een companie este generat utiliz\u00e2nd mari modele lingvistice Gemini, dup\u0103 care acest cod este revizuit \u0219i acceptat de ingineri. Se subliniaz\u0103 c\u0103 aceast\u0103 utilizare a AI a permis accelerarea semnificativ\u0103 a procesului de dezvoltare a produselor.
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Sursa: opennet.ro<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0418\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0438 \u0438\u0437 \u043f\u043e\u0434\u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u0438\u0439 Google Project Zero \u0438 Google DeepMind \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0438 \u043e\u0442\u0447\u0451\u0442 \u043e \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u0438 AI-\u0441\u0438\u0441\u0442\u0435\u043c\u044b Big Sleep, \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u043e\u0439 \u043d\u0430 \u0431\u0430\u0437\u0435 \u0431\u043e\u043b\u044c\u0448\u043e\u0439 \u044f\u0437\u044b\u043a\u043e\u0432\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 Gemini 1.5 Pro \u0438 \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0439 \u0434\u043b\u044f \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0435\u0439 \u0432 \u0438\u0441\u0445\u043e\u0434\u043d\u043e\u043c \u043a\u043e\u0434\u0435. \u0414\u043e\u0441\u0442\u0438\u0436\u0435\u043d\u0438\u0435\u043c \u043f\u0440\u043e\u0435\u043a\u0442\u0430 \u0441\u0442\u0430\u043b\u043e \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u0435 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c Big Sleep \u043f\u0435\u0440\u0432\u043e\u0439 \u043f\u0440\u0438\u0433\u043e\u0434\u043d\u043e\u0439 \u0434\u043b\u044f \u044d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u0438 \u0438 \u0440\u0430\u043d\u0435\u0435 \u043d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e\u0439 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438 \u0432 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u043e\u0435\u043a\u0442\u0435. \u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0430 \u0432 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-120455","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Google a folosit un model lingvistic mare pentru a identifica o vulnerabilitate \u00een SQLite | ProHoster","description":"Cercet\u0103torii din cadrul Google Project Zero \u0219i Google DeepMind au publicat un raport despre dezvoltarea sistemului AI Big Sleep, construit pe baza modelului lingvistic mare Gemini 1.5 Pro \u0219i destinat 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