{"id":161945,"date":"2026-02-21T17:11:54","date_gmt":"2026-02-21T15:11:55","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/oczenka-nadyozhnosti-parolej-sgenerirovannyh-bolshimi-yazykovymi-modelyami"},"modified":"2026-02-21T17:11:54","modified_gmt":"2026-02-21T15:11:55","slug":"oczenka-nadyozhnosti-parolej-sgenerirovannyh-bolshimi-yazykovymi-modelyami","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pl\/blog\/news\/oczenka-nadyozhnosti-parolej-sgenerirovannyh-bolshimi-yazykovymi-modelyami","title":{"rendered":"Ocena bezpiecze\u0144stwa hase\u0142 generowanych przez du\u017ce modele j\u0119zykowe","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Przedstawiono wyniki analizy bezpiecze\u0144stwa hase\u0142 generowanych przez du\u017ce modele j\u0119zykowe i asystent\u00f3w AI. Naukowcy poprosili modele Claude, ChatGPT i Gemini o wygenerowanie silnego has\u0142a 16-znakowego i we wszystkich przypadkach uzyskano wynik, kt\u00f3ry na pierwszy rzut oka spe\u0142nia\u0142 wszystkie wymagania dotycz\u0105ce bezpiecznych hase\u0142 i by\u0142 uznawany przez narz\u0119dzia do sprawdzania jako\u015bci hase\u0142 za bezpieczny. Has\u0142a \u0142\u0105czy\u0142y w sobie znaki w r\u00f3\u017cnych rejestrach, znaki specjalne i cyfry, jednak wygl\u0105da\u0142y na bezpieczne, a w rzeczywisto\u015bci mia\u0142y minimaln\u0105 entropi\u0119, by\u0142y tworzone wed\u0142ug typowego wzoru i przy powt\u00f3rnych zapytaniach tworzy\u0142y wzorce. <\/p>\n

Zdaniem badaczy, przewidywalne has\u0142a generowane przez du\u017ce modele j\u0119zykowe s\u0105 u\u017cywane w praktyce przez rzeczywistych u\u017cytkownik\u00f3w i proponowane podczas pracy nad kodem przez asystent\u00f3w AI. Poziom entropii w has\u0142ach generowanych przez modele AI szacuje si\u0119 na 20-27 bit\u00f3w, co oznacza, \u017ce ich z\u0142amanie zajmuje od kilku sekund do godzin, podczas gdy analiza wynik\u00f3w narz\u0119dzi do sprawdzania jako\u015bci hase\u0142 prognozuje czas z\u0142amania na kilka wiek\u00f3w. Szablonowo\u015b\u0107 takich hase\u0142 jest wynikiem budowania tre\u015bci przez du\u017ce modele j\u0119zykowe na podstawie przewidywania token\u00f3w. <\/p>\n

Z 50 wygenerowanych w Claude Opus 4.6 hase\u0142, 18 ca\u0142kowicie si\u0119 powt\u00f3rzy\u0142o, wszystkie has\u0142a zaczyna\u0142y si\u0119 od litery (g\u0142\u00f3wnie \u201eG\u201d), nast\u0119pnie zawsze wyst\u0119powa\u0142a cyfra (g\u0142\u00f3wnie 7), we wszystkich has\u0142ach by\u0142y obecne znaki \u201eL\u201d, \u201e9\u201d, \u201em\u201d, \u201e2\u201d, \u201e$\u201d oraz \u201e#\u201d.

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

W GPT-5.2 prawie wszystkie has\u0142a zaczyna\u0142y si\u0119 na liter\u0119 \u201ev\u201d, a w po\u0142owie hase\u0142 nast\u0105pi\u0142a litera \u201eQ\u201d i powtarzaj\u0105cy si\u0119 wz\u00f3r z ograniczonego zestawu znak\u00f3w. W Gemini 3 prawie po\u0142owa hase\u0142 zaczyna\u0142a si\u0119 od znak\u00f3w \u201eK\u201d lub \u201ek\u201d, po kt\u00f3rych najcz\u0119\u015bciej pod\u0105\u017ca\u0142y \u201e#\u201d, \u201eP\u201d lub \u201e9\u201d, u\u017cywany zestaw znak\u00f3w by\u0142 znacznie ograniczony. Zwi\u0119kszenie \u201etemperatury\u201d podczas korzystania z modeli AI wcale nie wp\u0142ywa znacz\u0105co na jako\u015b\u0107 generowanych hase\u0142. <\/p>\n

Je\u015bli chodzi o stosowane podczas tworzenia asystent\u00f3w AI, to w du\u017cej mierze jako\u015b\u0107 has\u0142a zale\u017cy od sformu\u0142owanego przez programist\u0119 zapytania. Na przyk\u0142ad Claude Code z Opus 4.6 i Gemini-CLI z Auto Gemini 3 przy zapytaniu o wygenerowanie solidnego has\u0142a uruchamia\u0142y polecenie \u201eopenssl rand\u201d. Przy tym Gemini-CLI z Auto Gemini 3 przy zapytaniu \u201ewygeneruj has\u0142o\u201d u\u017cywa\u0142 \u201eopenssl rand\u201d, a przy zapytaniu \u201ezaproponuj has\u0142o\u201d \u2014 formowa\u0142 has\u0142o za pomoc\u0105 modelu AI. Codex z GPT-5.3-Code czasami uruchamia\u0142 zewn\u0119trzne narz\u0119dzie do generowania solidnego has\u0142a, ale czasami generowa\u0142 przewidywalne has\u0142o samodzielnie. Claude Code z Opus 4.5 najcz\u0119\u015bciej samodzielnie generowa\u0142 przewidywalne has\u0142a. Przegl\u0105darka ChatGPT Atlas przy wymy\u015blaniu has\u0142a do rejestracji na stronie formowa\u0142a nieodpowiednie has\u0142o za pomoc\u0105 modelu AI.
\n
\u0179r\u00f3d\u0142o: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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