335

I have the following piece of Base64 encoded data, and I want to use the Python Base64 module to extract information from it. It seems that module does not work. How can I make it work?

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
Peter Mortensen
  • 30,738
  • 21
  • 105
  • 131
ladyfafa
  • 6,629
  • 7
  • 26
  • 22
  • 2
    Can you expand on the problem you're having? I just used `base64.b64decode` to decode it fine... – Blair Conrad Aug 12 '10 at 17:57
  • 1
    what is your method please? Did you use base64.b64decode(string) ? – ladyfafa Aug 12 '10 at 17:58
  • I use it too, but I did not understand the result – ladyfafa Aug 12 '10 at 17:59
  • The result will vary depending on what's supposed to be inside. I've looked at the result, but I don't understand it too. Where did you get the encoded data? What was it supposed to be? – Blair Conrad Aug 12 '10 at 18:02
  • The result is... difficult to post here. It begins: `C\x96\x00\n\x00\x00\x00\x00C\x96\x00\x1b\x00\x00\x00` – Blair Conrad Aug 12 '10 at 18:03
  • 1
    I think the result should be a series of coordinates, such as (x, y, z), with different values – ladyfafa Aug 12 '10 at 18:06
  • Yes, exactlly, the result is as what you posted – ladyfafa Aug 12 '10 at 18:06
  • but it appears that when concatenating the encoded strings, the decode will not work in a correct way, that means, the result would probably look rather messy, like C\x96\x00\n\x00\x00\x00\x00C.... – ladyfafa Aug 12 '10 at 18:08
  • so how am i gonna see what is within this piece of data? – ladyfafa Aug 12 '10 at 18:09
  • 10
    @ladyfafa, I don't know what to tell you. You were given a piece of data that was encoded in base64, and you know how to decode the string to get the original data - after that, you still have to understand the format of the data in order to be able to interpret it. Without giving us more information about the results, it's very difficult to tell you what to do with it. Even knowing that it's a series of coordinates isn't that helpful without knowing (for example) if they're 4 byte integers, or floats or what. Can you not get this information from the source of the data? Then we could help. – Blair Conrad Aug 12 '10 at 18:12
  • @Blair, thank you, I would like to post a piece of code here, but it seems to be too long, or I don't know how to change it, could you please let me know your email or I could send it to you then? thanks again – ladyfafa Aug 12 '10 at 18:20
  • Or how could make this clear? I mean, to deal with what this encoded data? – ladyfafa Aug 12 '10 at 18:20
  • or you could please send it to my email ladyfafa@hotmail.com, thanks!! – ladyfafa Aug 12 '10 at 18:36
  • @ladyfafa Is it packed binary data? Python module `struct` can parse out strings to values *if you know the format*, though you might be able to guess. What gave you this string? – Nick T Aug 12 '10 at 18:39
  • @Nick T, thanks, I tried the struct module, but still no clues... nor do I know the format of this encoded string... – ladyfafa Aug 12 '10 at 18:43
  • it might be a binary data, what I know is that the data comprise of coordinates... – ladyfafa Aug 12 '10 at 18:44
  • could you please tell me what I might try? – ladyfafa Aug 12 '10 at 18:46
  • What gave you this data? – Nick T Aug 12 '10 at 18:54
  • @ Nick T, the same thing, could I ask you via email, seems the code can not work fine here, let me if it is okay?? thanks – ladyfafa Aug 12 '10 at 19:11
  • 3
    I mean where did this data come from? Did your cat type it for you? Did you convert a bitmap into a string? Did program XYZ output it? – Nick T Aug 12 '10 at 19:24
  • yes, a software deals with this data, but the user did not know how this software might work, i mean, it is a black box ... – ladyfafa Aug 12 '10 at 19:31
  • Did the black box give all that data at the same time or did it break it up into smaller messages? – Nick T Aug 12 '10 at 19:33
  • the user just need to select the working directory, click on "load data" button, then after serveral minutes, everything was done, such as analysis, display, etc. that's all I know what this software :( – ladyfafa Aug 12 '10 at 19:43
  • 22016 characters. Can't it be made shorter? – Peter Mortensen Jul 19 '21 at 17:55
  • I’m voting to close this question because decoding arbitrary data streams is not what Stack Overflow is for. Despite the literal question, the question is really about the interpretation of the data after it has been Base64-decode. This is revealed in comments to [Nick T's answer](https://stackoverflow.com/questions/3470546/how-do-you-decode-base64-data-in-python/3471231#3471231) (the only real comprehensive answer). – Peter Mortensen Jul 19 '21 at 18:31

10 Answers10

391
import base64
coded_string = '''Q5YACgA...'''
base64.b64decode(coded_string)

worked for me. At the risk of pasting an offensively-long result, I got:

>>> 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\x0f@\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's 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'
Community
  • 1
  • 1
Blair Conrad
  • 233,004
  • 25
  • 132
  • 111
  • 4
    I have exactlly the same process as you did, but what are the results ? – ladyfafa Aug 12 '10 at 18:01
  • This is pretty old but I think their issue was the above is it doesn't print anything. I assume print base64.b64decode(coded_string) was what they were looking for. Thanks for the simple example it helped me! – Cadoo Mar 12 '14 at 18:31
  • I get an error: ~"**partially initialized module 'base64' has no attribute 'b64decode'**" – IgorGanapolsky Apr 18 '22 at 21:05
  • why this looks like : \xbb\x00\x00\x00\x00D\x ...................... Instead of a string? – Shax Nov 17 '22 at 13:42
  • because it's a whole bunch of bytes, not a string. b64decode decodes to a bunch of bytes. There's no reason to believe that it would be a string (even if you knew what encoding) – Blair Conrad Nov 18 '22 at 15:09
  • @IgorGanapolsky this has **nothing to do with** the `base64` module. Please read: [Importing a library from (or near) a script with the same name raises "AttributeError: module has no attribute" or an ImportError or NameError](/q/36250353/). – Karl Knechtel Jun 29 '23 at 04:52
  • @Shax I don't really know what string you expect it to look like instead, or why; nor am I sure what you think strings "look like", or why this "doesn't" look like one. My best guess is that you do not properly understand what bytes are and what data is, and the fact that simply not every sequence of bytes is "readable". Please try reading [What do files actually contain, and how are they "read"? What is a "format" and why should I worry about them?](https://stackoverflow.com/questions/75078605). – Karl Knechtel Jun 29 '23 at 04:55
212

Python 3 (and 2)

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

Python 2

A quick way to decode it without importing anything:

'eW91ciB0ZXh0'.decode('base64')

or more descriptive

>>> a = 'eW91ciB0ZXh0'
>>> a.decode('base64')
'your text'
Levite
  • 17,263
  • 8
  • 50
  • 50
  • 10
    Btw this also works for *encoding* >>> `'your text'.encode('base64')` – Levite Feb 13 '15 at 09:53
  • 3
    First part of the answer is slightly misleading. Python 3 and 2 don't produce same output for `base64.b64decode(a)`. See https://stackoverflow.com/questions/63056193/base64-b64decode-output-differences-python-2-vs-python-3 – Akilan Mar 30 '22 at 19:47
  • *This whole answer – RixTheTyrunt May 21 '22 at 16:30
70

Base64 encode/decode example:

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!'
Slipstream
  • 13,455
  • 3
  • 59
  • 45
21

I personally just use this Python code to decode Base64 strings:

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

So you can run it in a Bash script like this:

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

twneale has also pointed out an even simpler solution: base64 -d

So you can use it like this:

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

That will save the decoded string to outputfile and then attempt to identify the file type using either the file tool or you can try TrID. The following command will decode the string into a file and then use TrID to automatically identify the file's type and add the extension.

echo "STRING" | base64 -d > OUTPUTFILE; trid -ce OUTPUTFILE
Peter Mortensen
  • 30,738
  • 21
  • 105
  • 131
japzone
  • 6,151
  • 2
  • 16
  • 14
17

Interesting if maddening puzzle...but here's the best I could get:

The data seems to repeat every 8 bytes or so.

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))

That gives output like the following (a sampling of lines from the first 100 or so):

(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)

That first number does seem to monotonically increase through the entire set. If you plot it:

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

enter image description here

format = 'hhhh' (possibly with various paddings/directions (e.g. '<hhhh', '<xhhhh') also might be worth a look (again, random lines):

(-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)
Nick T
  • 25,754
  • 12
  • 83
  • 121
  • @Nick T, thanks, first of all, I think the first value should be positive, because it stands for the mass of a molecule, could never be a negative value; secondly, the toal number of elements in one of these tuples shall bestly be 3, that's all what I could guess about this data, they should be mass, intensity and time respectively – ladyfafa Aug 12 '10 at 19:37
  • it is absolutely right the mass goes in an ascending way "monotonically increase", suppose it is value on the x-axis, from 0 to an adequate maximum, whereas the intensity of this mass might vary sharply – ladyfafa Aug 12 '10 at 19:40
  • 2
    So this is data from a GC-MS? Try different formats, see http://docs.python.org/library/struct.html maybe `'>fhh'` or `'>fHH'` – Nick T Aug 12 '10 at 19:54
  • exactlly! you are genious, for sure :) – ladyfafa Aug 12 '10 at 19:57
  • I only used a GC-MS a few times in lab, but doesn't it just kick out an intensity vs. time plot? Mass we had to derive from time, calibrated with some known compounds. – Nick T Aug 12 '10 at 20:15
  • But you really knows it, I think the ultimate goal is to find the proteins, still halfway into it though. thanks for all your help :) – ladyfafa Aug 12 '10 at 20:23
  • 1
    The plot is consistent with a mass spectrum of a protein digested with e.g. [trypsin](https://en.wikipedia.org/wiki/Trypsin), cut after R ([arginine](https://en.wikipedia.org/wiki/Arginine)) or K ([Lysine](https://en.wikipedia.org/wiki/Lysine)), but not before P (mostly single-charged peptides with different masses, but also other artefacts due to the mass spectrometer type, ionisation type, etc.). – Peter Mortensen Jul 19 '21 at 18:29
14

Well, I assume you are not on Interactive Mode and you used this code to decode your string:

import base64
your_string = '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'
base64.b64decode(your_string)

Well first of all you need to assign the finished product to a variable to be able to be printed out:

code_string = base64.b64decode(your_string)

Then like any beginner programmer would know, you would print the results out: Python 2.7x:

print code_string

Python 3.x:

print(code_string)

After the successful decoding, you will get a string about the size of the not yet decoded string. I hope this helps you!

Anthony Pham
  • 3,096
  • 5
  • 29
  • 38
4

Note Slipstream's response, that base64.b64encode and base64.b64decode need a bytes-like object, not a string.

>>> import base64
>>> a = '{"name": "John", "age": 42}'
>>> base64.b64encode(a)
Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File "/usr/lib/python3.6/base64.py", line 58, in b64encode
    encoded = binascii.b2a_base64(s, newline=False)
TypeError: a bytes-like object is required, not 'str'
Peter Mortensen
  • 30,738
  • 21
  • 105
  • 131
Frank Podborski
  • 106
  • 5
4

Steps from Base64 to text ( confirmed in Linux ):

  1. Import base64 and codecs
  2. Convert the string to b"" using codecs.encode(...) and store it as a variable ( b64Str here )
  3. Simply use base64.b64decode(b64Str) and store it as resStr
  4. ( Optional ) Print resStr

And your code should look like:

import base64
import codecs

b64Str = codecs.encode("SGVsbG8sIHdvcmxkIQ==")
resStr = base64.b64decode(b64Str)
# """
print(resStr) # Expected output: "Hello, world!"
# """
RixTheTyrunt
  • 185
  • 3
  • 11
1

After decoding, it looks like the data is a repeating structure that's 8 bytes long, or some multiple thereof. It's just binary data though; what it might mean, I have no idea. There are 2064 entries, which means that it could be a list of 2064 8-byte items down to 129 128-byte items.

Walter Mundt
  • 24,753
  • 5
  • 53
  • 61
1

To decode Base64 data in Python, you can use the base64 module.

Here is an example of how to decode a Base64-encoded string in Python:

import base64

base64_string = 'QjY0RW5jb2RlLmNvbQ=='

decoded_string = base64.b64decode(base64_string)

print(decoded_string)

You can find a more detailed description here.

Ocaso
  • 11
  • 1