有趣但令人抓狂的谜题……但这是我能找到的最好的

数据似乎每8个字节左右重复一次。

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))

这将给出如下输出(前100行左右的示例):

(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)

第一个数字在整个集合中似乎是单调增加的。如果你把它画出来:

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

Format = 'hhhh'(可能有不同的填充/方向(例如:'<hhhh'， '<xhhhh')也可能值得一看(同样是随机行):

(-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)

好吧，我假设你不是在交互模式，你用这段代码来解码你的字符串:

import base64
your_string = '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base64.b64decode(your_string)

首先，你需要将成品分配给一个变量，以便能够打印出来:

code_string = base64.b64decode(your_string)

然后，就像任何初学者都知道的那样，将结果打印出来: Python 2.7 x:

print code_string

Python 3. x:

print(code_string)

成功解码后，您将得到一个与尚未解码的字符串大小相同的字符串。我希望这对你有所帮助!

Python 3(和2)

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

Python 2

一个不需要导入任何东西的快速解码方法:

'eW91ciB0ZXh0'.decode('base64')

或者更有描述性

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

我个人只是使用这个Python代码来解码Base64字符串:

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

所以你可以像这样在Bash脚本中运行它:

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

Twneale还指出了一个更简单的解决方案:base64 -d

所以你可以这样使用它:

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

这将把解码后的字符串保存到outputfile中，然后尝试使用文件工具或TrID来识别文件类型。下面的命令将把字符串解码为一个文件，然后使用TrID自动识别文件的类型并添加扩展名。

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

Base64编码/解码示例:

import base64

mystr = 'O João mordeu o cão!'

# Encode
mystr_encoded = base64.b64encode(mystr.encode('utf-8'))
# b'TyBKb8OjbyBtb3JkZXUgbyBjw6NvIQ=='

# Decode
mystr_encoded = base64.b64decode(mystr_encoded).decode('utf-8')
# 'O João mordeu o cão!'

解码之后，数据看起来像是一个8字节长的重复结构，或者8字节的倍数。不过它只是二进制数据;这意味着什么，我不知道。有2064个条目，这意味着它可以是一个由2064个8字节项到129个128字节项的列表。