{"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\/pl\/blog\/news\/izuchenie-nachinki-sandbox-okruzheniya-ispolzuemogo-v-google-gemini-dlya-zapuska-python-koda","title":{"rendered":"Badanie podzespo\u0142\u00f3w \u015brodowiska sandbox, u\u017cywanego w Google Gemini do uruchamiania kodu Python.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Opublikowano wyniki badania bezpiecze\u0144stwa izolowanego \u015brodowiska do uruchamiania kodu Python, u\u017cywanego przez firm\u0119 Google w czacie bot Gemini. Chatbot Gemini oferuje narz\u0119dzia do generowania kodu na podstawie opisu zadania i dla j\u0119zyka Python pozwala natychmiast uruchomi\u0107 utworzony kod, aby uwolni\u0107 programist\u0119 od zb\u0119dnych czynno\u015bci podczas jego testowania. Kod uruchamiany jest w izolowanym \u015brodowisku, kt\u00f3re jest odci\u0119te od \u015bwiata zewn\u0119trznego i dopuszcza tylko uruchamianie interpretera Python. Aby okre\u015bli\u0107 zawarto\u015b\u0107 \u015brodowiska sandboxowego, badacze przeprowadzili uruchomienie kodu wykorzystuj\u0105cego mo\u017cliwo\u015bci biblioteki Python os do przeszukiwania zawarto\u015bci wszystkich katalog\u00f3w i tworzenia mapy systemu plik\u00f3w. <\/p>\n

Szczeg\u00f3lne zainteresowanie wzbudzi\u0142 plik wykonywalny \/usr\/bin\/entry\/entry_point, kt\u00f3ry zajmowa\u0142 579 MB. Aby wydoby\u0107 ten plik, badacze stworzyli skrypt, kt\u00f3ry kolejno w ma\u0142ych porcjach wy\u015bwietla\u0142 na ekranie zawarto\u015b\u0107 w formacie Base64. Po swojej stronie zautomatyzowali \u0142\u0105czenie tych fragment\u00f3w przy u\u017cyciu narz\u0119dzi Caido i uzyskali kopi\u0119 pliku na swoim systemie. <\/p>\n

Do analizy uzyskanego pliku wykonywalnego wykorzystano narz\u0119dzie binwalk, przeznaczone do wydobywania plik\u00f3w osadzonych w oprogramowaniu sprz\u0119towym. W\u015br\u00f3d wydobytych danych znajdowa\u0142 si\u0119 katalog google3, w kt\u00f3rym, s\u0105dz\u0105c po nazwach plik\u00f3w, znajdowa\u0142 si\u0119 kod Python z r\u00f3\u017cnymi komponentami zapewniaj\u0105cymi dzia\u0142anie us\u0142ugi, na przyk\u0142ad RPC do interakcji modelu AI Gemini z zewn\u0119trznymi us\u0142ugami Google, takimi jak YouTube, Google Flights i Google Maps.

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

Badanie zawarto\u015bci plik\u00f3w wykaza\u0142o, \u017ce nie jest to tajny kod i zosta\u0142 on zatwierdzony do publicznego dost\u0119pu przez dzia\u0142 bezpiecze\u0144stwa Google. Niemniej jednak dalsza analiza zrzutu ujawni\u0142a obecno\u015b\u0107 plik\u00f3w proto (Protocol Buffer) ze specyfikacjami wewn\u0119trznych struktur danych, co pozwala zrozumie\u0107 niuanse wymiany danych mi\u0119dzy r\u00f3\u017cnymi us\u0142ugami Google. Korzy\u015bci z uzyskania ujawnionych plik\u00f3w proto s\u0105 w\u0105tpliwe, poniewa\u017c siedem lat temu podobne pliki proto zosta\u0142y ju\u017c wydobyte przez innych badaczy z Google App Engine.
\n
\u0179r\u00f3d\u0142o: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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