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HTML Entity Based Codepage Inference 0.01

HTML Entity Based Codepage Inference 0.01

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HTML Entity Based Codepage Inference 0.01 Ranking & Summary

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User Review: 0 (0 times)
File size: 0.005 MB
Platform: Any Platform
License: GPL (GNU General Public License)
Price:
Downloads: 1576
Date added: 2005-07-05
Publisher: Josh Myer

HTML Entity Based Codepage Inference 0.01 description

HEBCI is a technique that allows a web form handler to transparently detect the character set its data was encoded with. By using carefully-chosen character references, the browsers encoding can be inferred.

Thus, it is possible to guarantee that data is in a standard encoding without relying on (often unreliable) webserver/browser encoding interactions.

The ideal solution will be entirely browser-neutral and passive. Unfortunately, the HTML spec doesnt define any mechanism for this. We need to find some other, sneakier, way to extract the current character encoding from the browser.

Luckily for us, there is a trick we can use for this: entity codes. Entity codes are strings like &, which were (are) used to encode specific characters without using Unicode. When the browser displays a page, it replaces these with the appropriate character from the current encoding.

Thus, & becomes the character 0x26 in most codepages. By itself, this is merely implementation trivia. However, this translation process occurs whenever a user submits a form. That is, the browser parses any entities in the form variables and replaces them with the current encodings representation of those characters when the user clicks submit. Thus, any entity codes within the form fields are passed along as character values in the browsers current encoding.

So, all we have to do is find an entity that is encoded differently in two different codepages. We slip that into a form field, and then look at its value when we get data. This allows us to differentiate between the two encodings. In fact, we could look at all entities in many codepages, and find the ones that allowed us to disambiguate between many codepages. This is what Ive done.

We add hidden form elements with values containing various entity codes, such as °, ÷, and —. Then, when the user submits the form, we take each of those and compare them against a list of what character has what value in what codepage. That is, each codepage has a unique fingerprint for the values of °,÷,—. For MacRoman, its a1,d6,d1; for UTF-8, c2b0,c3b7,e28094. Thus, we only have to go through our table of codepage-to-fingerprint mappings, and see which fingerprint matches.

Note that, once this table is discovered, the cost of fingerprinting a given form submission is very low. And, in the case of misses, you can assume whatever your pages default codepage is. This fallthrough case is equivalent to what the code would have done before adding this detection layer.

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