Python base64データデコード

Question

次のbase64エンコードデータがあり、python base64モジュールを使用して情報を抽出します。モジュールが機能しないようです。誰も私に教えてもらえますか？

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Blair Conrad · Answer

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

私のために働いた。攻撃的に長い結果を貼り付ける危険性がありましたが、

>>> base64.b64decode(coded_string) 2: 'C\x96\x00
\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
\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'

具体的にどのような問題がありますか？

Levit · Answer

Python 2

何もインポートせずにすばやくデコードする方法：

'eW91ciB0ZXh0'.decode('base64')

以上の説明

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

悲しいことに、これはPython 3で削除されました。

Python 3（および2）

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

japzone · Answer

（私はこれが古いことを知っていますが、将来これに出くわす私のような人々のためにこれを投稿したかったです）私は個人的にこのpythonコードを使用してbase64文字列をデコードします：

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

したがって、次のようなbashスクリプトで実行できます。

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

twnealeはさらに簡単なソリューションを指摘しています：base64 -dしたがって、次のように使用できます：

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

これにより、デコードされた文字列がoutputfileに保存され、fileツールを使用してファイルタイプを識別しようとするか、 TrID を試すことができます=。次のコマンドは、文字列をファイルにデコードし、TrIDを使用して、ファイルのタイプを自動的に識別し、拡張子を追加します。

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

Nick T · Answer

面白いパズル...面白いが、ここで私が得ることができる最高のものです：

データは8バイトごとに繰り返されるようです。

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))

これにより、次のような出力が得られます（最初の100程度の行のサンプリング）。

(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)

その最初の数は、セット全体で単調に増加するようです。プロットする場合：

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

format = 'hhhh'（おそらくさまざまなパディング/方向（'<hhhh'、'<xhhhh'など）を使用するのも一見の価値があります（もう一度、ランダムな行）：

(-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)

Anthony Pham · Answer

さて、あなたは対話モードではなく、このコードを使用して文字列をデコードすると仮定します：

import base64 your_string = '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base64.b64decode(your_string)

まず最初に、最終製品を変数に割り当てて印刷できるようにする必要があります。

code_string = base64.b64decode(your_string)

次に、初心者プログラマが知っているように、結果を出力します：Python 2.7x：

print code_string

Python 3.x：

print(code_string)

デコードに成功すると、まだデコードされていない文字列のサイズについての文字列を取得します。これがお役に立てば幸いです！

Slipstream · Answer

base64エンコード/デコードの例：

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!'

Odomontois · Answer

chardet を使用して、このデータの可能なエンコーディング（テキストの場合）を検出しましたが、{'confidence'：0.0、 'encoding'：None}を取得しました。それから、私はpickle.loadを使用して、再び何も取得しようとしませんでした。これをファイルとして保存しようとし、多くの異なる形式をテストしましたが、ここでも失敗しました。たぶん、このタイプの16512バイトの神秘的なデータを持っているタイプを教えてください。

Walter Mundt · Answer

デコード後、データは8バイト長またはその倍数の繰り返し構造であるように見えます。ただし、これは単なるバイナリデータです。それが何を意味するのか、私にはわからない。 2064個のエントリがあります。つまり、2064個の8バイト項目から129個の128バイト項目までのリストになる可能性があります。