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The authorization method and a space character (e.g. "Basic ") is then prepended to the encoded string. For example, if the browser uses Aladdin as the username and open sesame as the password, then the field's value is the Base64 encoding of Aladdin:open sesame, or QWxhZGRpbjpvcGVuIHNlc2FtZQ==. Then the Authorization header field will appear as:
Because Base64 is a six-bit encoding, and because the decoded values are divided into 8-bit octets, every four characters of Base64-encoded text (4 sextets = 4 × 6 = 24 bits) represents three octets of unencoded text or data (3 octets = 3 × 8 = 24 bits). This means that when the length of the unencoded input is not a multiple of three, the ...
Since Base64 encoded data is approximately 33% larger than original data, it is recommended to use Base64 data URIs only if the server supports HTTP compression or embedded files are smaller than 1KB. The data, separated from the preceding part by a comma (,). The data is a sequence of zero or more octets represented as characters. The comma is ...
Some older and today uncommon formats include BOO, BTOA, and USR encoding. Most of these encodings generate text containing only a subset of all ASCII printable characters: for example, the base64 encoding generates text that only contains upper case and lower case letters, (A–Z, a–z), numerals (0–9), and the "+", "/", and "=" symbols.
It is encoded in ASN.1 with DER format. Here is an example of how you can examine its ASN.1 structure using OpenSSL: openssl asn1parse -i -in your_request.p10. A CSR may be represented as a Base64 encoded PKCS#10; an example of which is given below:
Quoted-Printable and Base64 are the two MIME content transfer encodings, if the trivial "7bit" and "8bit" encoding are not counted. If the text to be encoded does not contain many non-ASCII characters, then Quoted-Printable results in a fairly readable [1] and compact encoded result. On the other hand, if the input has many 8-bit characters ...
An "encoding sniffing algorithm" is defined in the specification to determine the character encoding of the document based on multiple sources of input, including: Explicit user instruction; An explicit meta tag within the first 1024 bytes of the document; A byte order mark (BOM) within the first three bytes of the document
Compared to JSON, BSON is designed to be efficient both in storage space and scan-speed. Large elements in a BSON document are prefixed with a length field to facilitate scanning.