{"id":123056,"date":"2025-04-02T03:05:15","date_gmt":"2025-04-02T01:05:17","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/izuchenie-nachinki-sandbox-okruzheniya-ispolzuemogo-v-google-gemini-dlya-zapuska-python-koda"},"modified":"2025-04-02T03:05:15","modified_gmt":"2025-04-02T01:05:17","slug":"izuchenie-nachinki-sandbox-okruzheniya-ispolzuemogo-v-google-gemini-dlya-zapuska-python-koda","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sl\/blog\/news\/izuchenie-nachinki-sandbox-okruzheniya-ispolzuemogo-v-google-gemini-dlya-zapuska-python-koda","title":{"rendered":"Raziskovanje sestavin sandbox okolja, ki se uporablja v Google Gemini za izvajanje Python kode","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Objavljeni so rezultati raziskave varnosti izoliranega okolja za izvajanje Python kode, ki ga uporablja podjetje Google v chatbotu Gemini. Chatbot Gemini ponuja orodja za generiranje kode glede na opis naloge in za jezik Python omogo\u010da takoj\u0161njo izvedbo ustvarjene kode, da razvijalca razbremeni nepotrebnega dela pri preverjanju. Koda se izvaja v izoliranem okolju, ki je odrezano od zunanjega sveta in dovoljuje le izvajanje interpretatorja Python. Za dolo\u010denje sestavin sandbox okolja so raziskovalci uspeli zagnati kodo, ki uporablja zmogljivosti Python knji\u017enice os za raziskovanje vsebine vseh imenikov in gradnjo zemljevida datote\u010dnega sistema. <\/p>\n

\u0160e posebej zanimiv je bil izvr\u0161ni datoteko \/usr\/bin\/entry\/entry_point, ki je zavzel 579 MB. Za izvle\u010denje tega datoteka so raziskovalci ustvarili skripto, ki je zaporedno v manj\u0161ih delih izpisovala vsebino v formatu Base64. Na svoji strani so avtomatizirali lepljenje podatkovnih fragmentov z orodjem Caido in pridobili kopijo datoteke na svojem sistemu. <\/p>\n

Za analizo pridobljenega izvr\u0161nega datoteka je bila uporabljena orodja binwalk, namenjena izvle\u010denju datotek, vgrajenih v programski opremi. Med izvle\u010denimi podatki je bil imenik google3, v katerem so, sode\u010d po imenih datotek, na\u0161li Python kodo z raznimi komponentami za delovanje storitve, na primer RPC za interakcijo AI modela Gemini z zunanjimi storitvami Google, kot so YouTube, Google Flights in Google Maps.

\"Raziskovanje<\/center>
\"Raziskovanje<\/center> <\/p>\n

Raziskovanje vsebine datotek je pokazalo, da to ni zaupna koda in je bila odobrena za javni dostop s strani varnostne slu\u017ebe Google. Hkrati je nadaljnja analiza odtisa odkrila prisotnost proto-datotek (Protocol Buffer) s specifikacijami notranjih struktur podatkov, ki omogo\u010dajo razumevanje podrobnosti izmenjave podatkov med razli\u010dnimi storitvami Google. Koristnost pridobljenih proto-datotek je dvomljiva, saj so podobne proto-datoteke pred sedmimi leti \u017ee izvlekli drugi raziskovalci iz Google App Engine.
\n
Izvor: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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