I have a String which contains some encoded values in some way like Base64.
The problem is that I really don't know if it's actually Base64 (there are A-Z, a-z. 0-9, +, /) so it can be some any other code that i'm not familiar with.
Is there a way or any other online site to send him an encoded input and it can tell me in which code is it?
NOTE:
I'm not asking how to know if my String is UTF-8 or iso-8859-1 or something like that.
What I need is to know in which is my code is encoded.
EDIT:
To be more clear,
I need something to get an input like: 23Nzi4lUE4qlc+Pmc3blWMS1Irmgo3i8UTQHhoL7VyzqpEV/i9bDhoiteZ0a7/TqcVSkrXR89V2Yj7tEFDGJx4gvWEBs= this is the encoded String that I have.
The output should be the type of the encoded String and it's decoding like:
Base64 -> "Big yellow fish is swimming in the tube."
Maybe there is some program which get's an input and tries to decode it with a list of coding types (Base64 and etc.). The output doesn't really matter because it's the users decision if it's good or not.
This site handles base64 de/encoding.
Since Base64 is just one instance of a class of encoding schemes ( specifically, encoding a bit stream as base_<n> number ), you probably will never fare better than testing for just a couple of standard encoding schemes.
You either check the well-formedness of the encoding scheme or try to decode without getting an error thrown using a web service or your own code.
In (possibly pathological) cases there will be more than one encoding scheme for which a given octet stream will successfully decode.
Best practice would be to take the effort invested into setting up the verification to committing the data provider to one (or 'a few') encoding(s) first (won't always be possible, of course).
Related
I saw many resources about the usages of base64 in today's internet. As I understand it, all of those resources seem to spell out single usecase in different ways : Encode binary data in Base64 to avoid getting it misinterpreted/corrupted as something else during transit (by intermediate systems). But I found nothing that explains following :
Why would binary data be corrupted by intermediate systems? If I am sending an image from a server to client, any intermediate servers/systems/routers will simply forward data to next appropriate servers/systems/routers in the path to client. Why would intermediate servers/systems/routers need to interpret something that it receives? Any example of such systems which may corrupt/wrongly interpret data that it receives, in today's internet?
Why do we fear only binary data to be corrupted. We use Base64 because we are sure that those 64 characters can never be corrupted/misinterpreted. But by this same logic, any text characters that do not belong to base64 characters can be corrupted/misinterpreted. Why then, base64 is use only to encode binary data? Extending the same idea, when we use browser are javascript and HTML files transferred in base64 form?
There's two reasons why Base64 is used:
systems that are not 8-bit clean. This stems from "the before time" where some systems took ASCII seriously and only ever considered (and transferred) 7bits out of any 8bit byte (since ASCII uses only 7 bits, that would be "fine", as long as all content was actually ASCII).
systems that are 8-bit clean, but try to decode the data using a specific encoding (i.e. they assume it's well-formed text).
Both of these would have similar effects when transferring binary (i.e. non-text) data over it: they would try to interpret the binary data as textual data in a character encoding that obviously doesn't make sense (since there is no character encoding in binary data) and as a consequence modify the data in an un-fixable way.
Base64 solves both of these in a fairly neat way: it maps all possible binary data streams into valid ASCII text: the 8th bit is never set on Base64-encoded data, because only regular old ASCII characters are used.
This pretty much solves the second problem as well, since most commonly used character encodings (with the notable exception of UTF-16 and UCS-2, among a few lesser-used ones) are ASCII compatible, which means: all valid ASCII streams happen to also be valid streams in most common encodings and represent the same characters (examples of these encodings are the ISO-8859-* family, UTF-8 and most Windows codepages).
As to your second question, the answer is two-fold:
textual data often comes with some kind of meta-data (either a HTTP header or a meta-tag inside the data) that describes the encoding to be used to interpret it. Systems built to handle this kind of data understand and either tolerate or interpret those tags.
in some cases (notably for mail transport) we do have to use various encoding techniques to ensure text doesn't get mangles. This might be the use of quoted-printable encoding or sometimes even wrapping text data in Base64.
Last but not least: Base64 has a serious drawback and that's that it's inefficient. For every 3 bytes of data to encode, it produces 4 bytes of output, thus increasing the size of the data by ~33%. That's why it should be avoided when it's not necessary.
One of the use of BASE64 is to send email.
Mail servers used a terminal to transmit data. It was common also to have translation, e.g. \c\r into a single \n and the contrary. Note: Also there where no guarantee that 8-bit can be used (email standard is old, and it allowed also non "internet" email, so with ! instead of #). Also systems may not be fully ASCII.
Also \n\n. is considered as end of body, and mboxes uses also \n>From to mark start of new mail, so also when 8-bit flag was common in mail servers, the problems were not totally solved.
BASE64 was a good way to remove all problems: the content is just send as characters that all servers must know, and the problem of encoding/decoding requires just sender and receiver agreement (and right programs), without worrying of the many relay server in between. Note: all \c, \r, \n etc. are just ignored.
Note: you can use BASE64 also to encode strings in URL, without worrying about the interpretation of webbrowsers. You may see BASE64 also in configuration files (e.g. to include icons): special crafted images may not be interpreted as configuration. Just BASE64 is handy to encode binary data into protocols which were not designed for binary data.
So I don't really want this question to be language specific, however I suspect Go (my language choice) is playing a part here.
I'm trying to find a string within the body of a raw email. To do so, I am getting the encoding, and the marjority of cases are quoted-printable.
Ok so thats fine, I am encoding my search query quoted printable and then doing a search for it. That works.
However. In one specific case the raw email I see in gmail looks fine, however when I retrieve the raw email from the gmail API the although the encoding and everything is identical, its encoding the " as =22
Research shows me thats because the charset is utf-8.
I haven't quite got my head around whether thats encoded utf-8 then quoted-printable or the other way around, but thats not quite the question either....
If I look at the email where the " is =22 I see the char set is utf-8 and when I look at another where its not encoded, the charset is UTF-8 (notice the case). I can't believe that the case here is whats causing this to happen, but it doesn't seem a robust enough way to work out if =22 is actually =22 or is a " encoded utf-8.
My original thought was to always decode the quoted-printable and then re-encode it before doing the search but I don't think this is going to be a robust approach going forward and thought others might have a better suggestion?
Conclusion, I'm trying to find a string in a raw email but the encoding is causing me problems getting my search string to match the encoding of the body
The =22-type encoding actually has nothing to do with the charset (whether that is utf-8 lowercase or UTF-8 uppercase or any other charset).
It is the Content-Transfer-Encoding: quoted-printable encoding.
The quoted-printable encoding is just a way of hex-encoding octets, typically limited to octets that fall outside of the printable ascii range. It seems odd that the DQUOTE character would be encoded in this way, but it's perfectly legal to do so.
If you want to search for strings in the body of the message, you'll need to first decode the body of the message. Otherwise you will not be successful.
I would recommend reading rfc2045 at a minimum.
You may also need to end up reading rfc2047 if you end up wanting to search headers at some point, but that gets... tricky due to various bugs that sending clients have.
Now that I've been "triggered" into a rant about MIME, let me explain why decoding headers is so hard to get right. I'm sure just about every developer who has ever worked on an email client could tell you this, but I guess I'm going to be the one to do it.
Here's just a short list of the problems every developer faces when they go to implement a decoder for headers which have been (theoretically) encoded according to the rfc2047 specification:
First off, there are technically two variations of header encoding formats specified by rfc2047 - one for phrases and one for unstructured text fields. They are very similar but you can't use the same rules for tokenizing them. I mention this because it seems that most MIME parsers miss this very subtle distinction and so, as you might imagine, do most MIME generators. Hell, most MIME generators probably never even heard of specifications to begin with it seems.
This brings us to:
There are so many variations of how MIME headers fail to be tokenizable according to the rules of rfc2822 and rfc2047. You'll encounter fun stuff such as:
a. encoded-word tokens illegally being embedded in other word tokens
b. encoded-word tokens containing illegal characters in them (such as spaces, line breaks, and more) effectively making it so that a tokenizer can no longer, well, tokenize them (at least not easily)
c. multi-byte character sequences being split between multiple encoded-word tokens which means that it's not possible to decode said encoded-word tokens individually
d. the payloads of encoded-word tokens being split up into multiple encoded-word tokens, often splitting in a location which makes it impossible to decode the payload in isolation
You can see some examples here.
Something that many developers seem to miss is the fact that each encoded-word token is allowed to be in different character encodings (you might have one token in UTF-8, another in ISO-8859-1 and yet another in koi8-r). Normally, this would be no big deal because you'd just decode each payload, then convert from the specified charset into UTF-8 via iconv() or something. However, due to the fun brokenness that I mentioned above in (2c) and (2d), this becomes more complicated.
If that isn't enough to make you want to throw your hands up in the air and mutter some profanities, there's more...
Undeclared 8bit text in headers. Yep. Some mailers just didn't get the memo that they are supposed to encode non-ASCII text. So now you get to have the fun experience of mixing and matching undeclared 8bit text of God-only-knows what charset along with the content of (probably broken) encoded-words.
If you want to see how to deal with these issues, you can take a look at how I did it using C in my GMime library, here: https://github.com/jstedfast/gmime/blob/master/gmime/gmime-utils.c#L1894 (in case line offsets change in the future, look for _g_mime_utils_header_decode_text() and the various internal methods it uses in that source file - I have written comments explaining how it deals with the above issues).
Or you can see how I did it using C# in my MimeKit library, here: https://github.com/jstedfast/MimeKit/blob/master/MimeKit/Utils/Rfc2047.cs
For more infomation about why & how dealing with email is hard, check out Joshua Cramner's blog series: http://quetzalcoatal.blogspot.com/search/label/email-hard
I am working on a project where I am getting parts of base64 encoded data, but not the whole thing. Is it possible to figure out what that part of the base64 encoded data was?
For example. Say I base64 encode hello world
It becomes aGVsbG8gd29ybGQ=
But say I am only able to capture sbG8gd29y
Which base4 decodes to ݽ
I am familiar with how base64 encoding process works and I cannot think of a way to figure out what part of a base64 encoded message is without adding data randomly to the chunk on the front and back and comparing with dictionary words, but the problem is I am not even 100% sure that the data I am working with includes dictionary words.
Thanks
I just spent a little time using an online conveter (http://www.convertstring.com/EncodeDecode/Base64Decode)
If you take your captured section you can run it through the converter and see that its an invalid length for a base64 encoded string.
For a captured section to have a valid length you will need to add some extra characters (0-3 depending on the length of the section). A valid base64 string has a length that is exactly devisible by 4.
Pick a character ('a' for example) and then run through the posibilities of adding the correct amount of characters to the section, front and back. With your added characters the string will be decodable and one of the decoded values will be more readable, that will be the one that has the partially decoded data.
E.G:
sbG8gd29yaaa
and
aaasbG8gd29y
decodes to:
����ݽɦ�
and
i��lo wor
You can make a rudimentary programatic test for readability by counting the number of 'normal' characters within the string (a-z for example). You will need to make up your own mind what is 'normal', it will depend on the expected language of the data and the context (is it known to be numeric only for example).
I need to get a string from <STDIN>, written in latin and russian mixed encodings, and convert it to some url:
$search_url = "http://searchengine.com/search?text=" . uri_escape($query);
But this proccess goes bad and gives out Mojibake (a mixture of weird letters). What can I do with Perl to solve it?
Before you can get started, there's a few things you need to know.
You'll need to know the encoding of your input. "Latin" and "russian" aren't (character) encodings.
If you're dealing with multiple encodings, you'll need to know what is encoded using which encoding. "It's a mix" isn't good enough.
You'll need to know the encoding the site expects the query to use. This should be the same encoding as the page that contains the search form.
Then, it's just a matter of decoding the input using the correct encoding, and encoding the query using the correct encoding. That's the easy part. Encode provides functions decode and encode to do just that.
If you have binary data that you need to encode, what encoding scheme do you use?
I know about:
Hex encoding. Very simple, but quite verbose, expands one byte to two.
Base 64. Most common, not so verbose, expands three bytes to four.
Base 85. Not common, less verbose again, expands four bytes to five.
Are there any other encoding schemes in common use? If so, what are there advantages and disadvantages?
Edit: This is useful, for example, when trying to store arbitrary data in a cookie. Cookies can only store text, not arbitrary data, so you need to convert it in some way, preferably with a way to convert it back. Further, assume that you are using a stateless server so that you cannot save the state on the server and just put an identifier into the cookie. Of course, if you do this you would also need some way of verifying that what the user is passing back to you is what you passed to the user, for example a signature.
Also, since the current consensus is that you should use base64 since it is widespread, I will also point out that this is what I use... I am just curious if anyone used anything else, and if so, why.
Edit: Just in case someone stumbles across this, if you do want to use Base64 to store data in a cookie, you need to use a modified Base64 implementation. See this answer for the reason why.
For encoding cookie values, you need to be careful. See this older answer:
With Version 0 cookies, values should
not contain white space, brackets,
parentheses, equals signs, commas,
double quotes, slashes, question
marks, at signs, colons, and
semicolons. Empty values may not
behave the same way on all browsers.
Base64 encoding can generate = symbols for certain inputs, and this technically is not permitted in cookies (version 0 cookies, anyway, which are the most widely supported). In practice, I suspect the = will actually work fine, but maybe not.
I would suggest that to be absolutely sure that your encoded binary is cookie-compatible, then basic hex encoding is safest (e.g. in java).
edit: As #Paul helpfully pointed out, there is a modified version of Base 64 that is "URL safe" (and, I assume, "cookie safe"). Using a modified version of a standard algorithm rather dilutes its charm, mind you.
edit: #shoosh pointed out that the = is only used to denote the end of the base64 string, so you could trim the =, set the cookie, then reattach the = again when you need to decode it.
Base64 wins because it's so common that I don't have to ever worry about rolling my own encoder/decoder. I haven't run into any applications where I've been worried about saving bandwidth or filespace in encoded binary data.
Once upon a time, there was UTF-7. It's officially deprecated, but it still works as an ACE (ASCII Compatible Encoding). Now there's IDN.
uuencode is popular is some circles
HTML and XML encode unicode using this syntax
Base64 is the de-facto standard. Using anything else is asking for trouble.