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.
Related
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
the subject says it all, why didn't the creators of memcached specify a text encoding as part the protocol?
I've seen a mix of ASCII and UTF-8 implementations and obviously the latter lets you write data which the former would fail to decode.
The memcached ASCII protocol specifies that you can store "a chunk of arbitrary 8-bit data", i.e. from the point of view of the server everything is a binary object. It is up to the client library to decide how to encode the data to be stored.
In your case, if you access memcached with libraries which use different encodings for strings, you may want to use some kind of binary safe intermediate representation such as Base64. Of course, the ideal would be to fix the client instead.
There is enough information on how to implement base32 encoding or the specification of base32 encoding but I don't understand what it is, why we need it and where are the primary applications. Can someone please explain and give nice real life scenarios on usage? Thanks.
crockford base32
wikipedia base32
Like any other "ASCII-only" encoding, base32's primary purpose is to make sure that the data it encodes will survive transportation through systems or protocols which have special restrictions on the range of characters they will accept and emerge unmodified.
For example, b32-encoded data can be passed to a system that accepts single-byte character input, or UTF-8 encoded string input, or appended to a URL, or added to HTML content, without being mangled or resulting in an invalid form. Base64 (which is much more common) is used for the exact same reasons.
The main advantage of b32 over b64 is that it is much more human-readable. That's not much of an advantage because the data will typically be processed by computers, hence the relative rarity of b32 versus b64 (which is more efficient space-wise).
Update: there's the same question asked about Base64 here: What is base 64 encoding used for?
Base32 encoding (and Base64) encoding is motivated by situations where you need to encode unrestricted binary within a storage or transport system that allow only data of a certain form such as plain text. Examples include passing data through URLs, XML, or JSON data, all of which are plain text sort of formats that don't otherwise permit or support arbitrary binary data.
In addition to previous answers for base32 vs base64 in numbers. For same .pdf file encoded result is:
base64.base32encode(content) = 190400 symbols
base64.base64encode(content) = 158668 symbols
I'm using an API that processes my files and presents optimized output, but some special characters are not preserved, for example:
Input: äöü
Output: äöü
How do I fix this? What encoding should I use?
Many thanks for your help!
It really depend what processing you are done to your data. But in general, one powerful technique is to convert it to UTF-8 by Iconv, for example, and pass it through ASCII-capable API or functions. In general, if those functions don't mess with data they don't understand as ASCII, then the UTF-8 is preserved -- that's a nice property of UTF-8.
I am not sure what language you're using, but things like this occur when there is a mismatch between the encoding of the content when entered and encoding of the content when read in.
So, you might want to specify exactly what encoding to read the data. You may have to play with the actual encoding you need to use
string.getBytes("UTF-8")
string.getBytes("UTF-16")
string.getBytes("UTF-16LE")
string.getBytes("UTF-16BE")
etc...
Also, do some research about the system where this data is coming from. For example, web services from ASP.NET deliver the content as UTF-16LE, but Java uses UTF-16BE encoding. When these two system talk to each other with extended characters, they might not understand each other exactly the same way.
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.