Декодирование данных Python base64

У меня есть следующий фрагмент данных с кодировкой base64, и я хочу использовать модуль p64 для base64 для извлечения из него информации. Кажется, что модуль не работает. Может ли кто-нибудь сказать мне, как?

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Ответ 1

import base64
coded_string = '''Q5YACgA...'''
base64.b64decode(coded_string)

работал у меня. При риске вставки оскорбительного результата я получил:

>>> base64.b64decode(coded_string)
2: 'C\x96\x00\n\x00\x00\x00\x00C\x96\x00\x1b\x00\x00\x00\x00C\x96\x00-\x00\x00\x00\x00C\x96\x00?\x00\x00\x00\x00C\x96\x07M\x00\x00\x00\x00C\x96\x07_\x00\x00\x00\x00C\x96\x07p\x00\x00\x00\x00C\x96\x07\x82\x00\x00\x00\x00C\x96\x07\x94\x00\x00\x00\x00C\x96\x07\xa6Cq\xf0\x7fC\x96\x07\xb8DJ\x81\xc7C\x96\x07\xcaD\xa5\x9dtC\x96\x07\xdcD\xb6\x97\x11C\x96\x07\xeeD\x8b\x8flC\x96\x07\xffD\x03\xd4\xaaC\x96\x08\x11B\x05&\xdcC\x96\x08#\x00\x00\x00\x00C\x96\x085C\x0c\xc9\xb7C\x96\x08GCy\xc0\xebC\x96\x08YC\x81\xa4xC\x96\x08kC\[email protected]\x9bC\x96\x08}\x00\x00\x00\x00C\x96\x08\x8e\x00\x00\x00\x00C\x96\x08\xa0\x00\x00\x00\x00C\x96\x08\xb2\x00\x00\x00\x00C\x96\x86\xf9\x00\x00\x00\x00C\x96\x87\x0b\x00\x00\x00\x00C\x96\x87\x1d\x00\x00\x00\x00C\x96\x87/\x00\x00\x00\x00C\x96\x87AA\x0b\xe7PC\x96\x87SCI\xf5gC\x96\x87eC\xd4J\xeaC\x96\x87wD\r\x17EC\x96\x87\x89D\x00F6C\x96\x87\x9bC\x9cg\xdeC\x96\x87\xadB\xd56\x0cC\x96\x87\xbf\x00\x00\x00\x00C\x96\x87\xd1\x00\x00\x00\x00C\x96\x87\xe3\x00\x00\x00\x00C\x96\x87\xf5\x00\x00\x00\x00C\x9cY}\x00\x00\x00\x00C\x9cY\x90\x00\x00\x00\x00C\x9cY\xa4\x00\x00\x00\x00C\x9cY\xb7\x00\x00\x00\x00C\x9cY\xcbC\x1f\xbd\xa3C\x9cY\xdeCCz{C\x9cY\xf1CD\x02\xa7C\x9cZ\x05C+\x9d\x97C\x9cZ\x18C\x03R\xe3C\x9cZ,\x00\x00\x00\x00C\x9cZ?
[stuff omitted as it exceeded SO body length limits]
\xbb\x00\x00\x00\x00D\xc5!7\x00\x00\x00\x00D\xc5!\xb2\x00\x00\x00\x00D\xc7\x14x\x00\x00\x00\x00D\xc7\x14\xf6\x00\x00\x00\x00D\xc7\x15t\x00\x00\x00\x00D\xc7\x15\xf2\x00\x00\x00\x00D\xc7\x16pC5\x9f\xf9D\xc7\x16\xeeC[\xb5\xf5D\xc7\x17lCG\x1b;D\xc7\x17\xeaB\xe3\x0b\xa6D\xc7\x18h\x00\x00\x00\x00D\xc7\x18\xe6\x00\x00\x00\x00D\xc7\x19d\x00\x00\x00\x00D\xc7\x19\xe2\x00\x00\x00\x00D\xc7\xfe\xb4\x00\x00\x00\x00D\xc7\xff3\x00\x00\x00\x00D\xc7\xff\xb2\x00\x00\x00\x00D\xc8\x001\x00\x00\x00\x00'

Какая у вас проблема, в частности?

Ответ 2

Python 2

Быстрый способ декодировать его, не импортируя ничего:

'eW91ciB0ZXh0'.decode('base64')

или более описательный

>>> a = 'eW91ciB0ZXh0'
>>> a.decode('base64')
'your text'

К сожалению, это было удалено с помощью Python 3.

Python 3 (и 2)

import base64
a = 'eW91ciB0ZXh0'
base64.b64decode(a)

Ответ 3

(Я знаю, что это старо, но я хотел опубликовать это для таких людей, как я, которые наткнулись на него в будущем) Я лично просто использую этот код python для декодирования строк base64:

print open("FILE-WITH-STRING", "rb").read().decode("base64")

Итак, вы можете запустить его в bash script следующим образом:

python -c 'print open("FILE-WITH-STRING", "rb").read().decode("base64")' > outputfile
file -i outputfile

twneale также указал еще более простое решение: base64 -d Поэтому вы можете использовать его следующим образом:

cat "FILE WITH STRING" | base64 -d > OUTPUTFILE
#Or You Can Do This
echo "STRING" | base64 -d > OUTPUTFILE

Это сохранит декодированную строку до outputfile, а затем попытается определить тип файла с помощью инструмента file или вы можете попробовать TrID. Следующая команда будет декодировать строку в файл, а затем использовать TrID, чтобы автоматически идентифицировать тип файла и добавить расширение.

echo "STRING" | base64 -d > OUTPUTFILE; trid -ce OUTPUTFILE

Ответ 4

Ну, я полагаю, вы не в интерактивном режиме, и вы использовали этот код для декодирования вашей строки:

import base64
your_string = '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base64.b64decode(your_string)

В первую очередь вам нужно назначить готовый продукт переменной, которая может быть распечатана:

code_string = base64.b64decode(your_string)

Тогда, как и любой начинающий программист, вы будете печатать результаты: Python 2.7x:

print code_string

Python 3.x:

print(code_string)

После успешного декодирования вы получите строку о размере еще не декодированной строки. Надеюсь, это поможет вам!

Ответ 5

Интересно, если сумасшедшая головоломка... но здесь лучшее, что я мог получить:

Кажется, что данные повторяются каждые 8 байтов или около того.

import struct
import base64

target = \
r'''Q5YACgAAAABDlgAbAAAAAEOWAC0AAAAAQ5YAPwAAAABDlgdNAAAAAEOWB18AAAAAQ5YH 
[snip.]
ZAAAAABExxniAAAAAETH/rQAAAAARMf/MwAAAABEx/+yAAAAAETIADEAAAAA''' 

data = base64.b64decode(target)

cleaned_data = []
struct_format = ">ff"
for i in range(len(data) // 8):
   cleaned_data.append(struct.unpack_from(struct_format, data, 8*i))

Это дает результат следующим образом (выборка строк из первых 100 или около того):

(300.00030517578125, 0.0)
(300.05975341796875, 241.93943786621094)
(301.05612182617187, 0.0)
(301.05667114257812, 8.7439727783203125)
(326.9617919921875, 0.0)
(326.96826171875, 0.0)
(328.34432983398438, 280.55218505859375)

Это первое число, похоже, монотонно увеличивается по всему набору. Если вы построите это:

import matplotlib.pyplot as plt
f, ax = plt.subplots()
ax.plot(*zip(*cleaned_data))

format = 'hhhh' (возможно, с различными прокладками/направлениями (например, '<hhhh', '<xhhhh') также может стоить взгляда (опять же, случайные строки):

(-27069, 2560, 0, 0)
(-27069, 8968, 0, 0)
(-27069, 13576, 3139, -18487)
(-27069, 18184, 31043, -5184)
(-27069, -25721, -25533, -8601)
(-27069, -7289, 0, 0)
(-25533, 31066, 0, 0)
(-25533, -29350, 0, 0)
(-25533, 25179, 0, 0)
(-24509, -1888, 0, 0)
(-24509, -4447, 0, 0)
(-23741, -14725, 32067, 27475)
(-23741, -3973, 0, 0)
(-23485, 4908, -29629, -20922)

Ответ 6

я использовал chardet, чтобы обнаружить возможную кодировку этих данных (если его текст), но получить {'trust': 0.0, 'encoding': None}. Затем я попытался использовать pickle.load и ничего не получить. Я попытался сохранить это как файл, протестировать много разных форматов и проиграл и здесь. Может быть, вы сообщите нам, какой тип имеет 16512 байт таинственных данных?

Ответ 7

После декодирования похоже, что данные являются повторяющейся структурой, длиной 8 байтов или несколькими ее краями. Однако это всего лишь двоичные данные; что это может означать, я понятия не имею. Есть 2064 записей, что означает, что это может быть список из 2064 8-байтных элементов до 129 128-байтных элементов.