Network Working Group
Independent Submission A. Rundgren
Internet-Draft
Request for Comments: 8785 Independent
Intended status:
Category: Informational B. Jordan
Expires: 23 July 2020
ISSN: 2070-1721 Broadcom
S. Erdtman
Spotify AB
20 January
June 2020
JSON Canonicalization Scheme (JCS)
draft-rundgren-json-canonicalization-scheme-17
Abstract
Cryptographic operations like hashing and signing need the data to be
expressed in an invariant format so that the operations are reliably
repeatable. One way to address this is to create a canonical
representation of the data. Canonicalization also permits data to be
exchanged in its original form on the "wire" while cryptographic
operations performed on the canonicalized counterpart of the data in
the producer and consumer end points, endpoints generate consistent results.
This document describes the JSON Canonicalization Scheme (JCS). The
JCS This
specification defines how to create a canonical representation of
JSON data by building on the strict serialization methods for JSON
primitives defined by ECMAScript, constraining JSON data to the
I-JSON
Internet JSON (I-JSON) subset, and by using deterministic property
sorting.
Status of This Memo
This Internet-Draft document is submitted in full conformance with not an Internet Standards Track specification; it is
published for informational purposes.
This is a contribution to the
provisions RFC Series, independently of BCP 78 any other
RFC stream. The RFC Editor has chosen to publish this document at
its discretion and BCP 79.
Internet-Drafts makes no statement about its value for
implementation or deployment. Documents approved for publication by
the RFC Editor are working documents not candidates for any level of the Internet Engineering
Task Force (IETF). Note that other groups may also distribute
working documents as Internet-Drafts. The list Standard;
see Section 2 of RFC 7841.
Information about the current Internet-
Drafts is at https://datatracker.ietf.org/drafts/current/.
Internet-Drafts are draft documents valid for a maximum status of six months this document, any errata,
and how to provide feedback on it may be updated, replaced, or obsoleted by other documents obtained at any
time. It is inappropriate to use Internet-Drafts as reference
material or to cite them other than as "work in progress."
This Internet-Draft will expire on 23 July 2020.
https://www.rfc-editor.org/info/rfc8785.
Copyright Notice
Copyright (c) 2020 IETF Trust and the persons identified as the
document authors. All rights reserved.
This document is subject to BCP 78 and the IETF Trust's Legal
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 3
2. Terminology . . . . . . . . . . . . . . . . . . . . . . . . . 4
3. Detailed Operation . . . . . . . . . . . . . . . . . . . . . 4
3.1. Creation of Input Data . . . . . . . . . . . . . . . . . 4
3.2. Generation of Canonical JSON Data . . . . . . . . . . . . 5
3.2.1. Whitespace . . . . . . . . . . . . . . . . . . . . . 5
3.2.2. Serialization of Primitive Data Types . . . . . . . . 5
3.2.2.1. Serialization of Literals . . . . . . . . . . . . 6
3.2.2.2. Serialization of Strings . . . . . . . . . . . . 6
3.2.2.3. Serialization of Numbers . . . . . . . . . . . . 7
3.2.3. Sorting of Object Properties . . . . . . . . . . . . 7
3.2.4. UTF-8 Generation . . . . . . . . . . . . . . . . . . 9
4. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 9
5. Security Considerations . . . . . . . . . . . . . . . . . . . 9
6. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 10
7. References . . . . . . . . . . . . . . . . . . . . . . . . . 10
7.1.
6.1. Normative References . . . . . . . . . . . . . . . . . . 10
7.2.
6.2. Informative References . . . . . . . . . . . . . . . . . 11
Appendix A. ES6 ECMAScript Sample Canonicalizer . . . . . . . . . . . . . . 12
Appendix B. Number Serialization Samples . . . . . . . . . . . . 13
Appendix C. Canonicalized JSON as "Wire Format" . . . . . . . . 15
Appendix D. Dealing with Big Numbers . . . . . . . . . . . . . . 15
Appendix E. String Subtype Handling . . . . . . . . . . . . . . 16
E.1. Subtypes in Arrays . . . . . . . . . . . . . . . . . . . 18
Appendix F. Implementation Guidelines . . . . . . . . . . . . . 18
Appendix G. Open Source Open-Source Implementations . . . . . . . . . . . . 19
Appendix H. Other JSON Canonicalization Efforts . . . . . . . . 20
Appendix I. Development Portal . . . . . . . . . . . . . . . . . 20
Appendix J. Document History . . . . . . . . . . . . . . . . . . 20
Acknowledgements
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 22
1. Introduction
This document describes the JSON Canonicalization Scheme (JCS). The
JCS This
specification defines how to create a canonical representation of
JSON [RFC8259] data by building on the strict serialization methods
for JSON primitives defined by ECMAScript [ES6], [ECMA-262], constraining
JSON data to the I-JSON [RFC7493] subset, and by using deterministic
property sorting. The output from JCS is a "Hashable" "hashable" representation
of JSON data that can be used by cryptographic methods. The
subsequent paragraphs outline the primary design considerations.
Cryptographic operations like hashing and signing need the data to be
expressed in an invariant format so that the operations are reliably
repeatable. One way to accomplish this is to convert the data into a
format that has a simple and fixed representation, like Base64Url base64url
[RFC4648]. This is how JWS JSON Web Signature (JWS) [RFC7515] addressed
this issue. Another solution is to create a canonical version of the
data, similar to what was done for the XML Signature signature [XMLDSIG]
standard.
The primary advantage with a canonicalizing scheme is that data can
be kept in its original form. This is the core rationale behind JCS.
Put another way, using canonicalization enables a JSON Object object to
remain a JSON Object object even after being signed. This can simplify
system design, documentation, and logging.
To avoid "reinventing the wheel", JCS relies on the serialization of
JSON primitives (strings, numbers numbers, and literals), as defined by
ECMAScript (aka JavaScript) [ECMA-262] beginning with version 6 [ES6], hereafter
referred to as "ES6". 6.
Seasoned XML developers may recall difficulties getting XML
signatures to validate. This was usually due to different
interpretations of the quite intricate XML canonicalization rules as
well as of the equally complex Web Services security standards. The
reasons why JCS should not suffer from similar issues are:
o The absence of
* JSON does not have a namespace concept and default values.
o Constraining data
* Data is constrained to the I-JSON [RFC7493] subset. This
eliminates the need for specific parsers for dealing with
canonicalization.
o JCS compatible
* JCS-compatible serialization of JSON primitives is currently
supported by most Web web browsers as well as by Node.js [NODEJS],
o [NODEJS].
* The full JCS specification is currently supported by multiple Open
Source
open-source implementations (see Appendix G). See also Appendix F
for implementation guidelines.
JCS is compatible with some existing systems relying on JSON
canonicalization such as JWK JSON Web Key (JWK) Thumbprint [RFC7638] and
Keybase [KEYBASE].
For potential uses outside of cryptography cryptography, see [JSONCOMP].
The intended audiences of this document are JSON tool vendors, vendors as well
as designers of JSON based JSON-based cryptographic solutions. The reader is
assumed to be knowledgeable in ECMAScript ECMAScript, including the "JSON"
object.
2. Terminology
Note that this document is not on the IETF standards track. However,
a conformant implementation is supposed to adhere to the specified
behavior for security and interoperability reasons. This text uses
BCP 14 to describe that necessary behavior.
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and
"OPTIONAL" in this document are to be interpreted as described in
BCP 14 [RFC2119] [RFC8174] when, and only when, they appear in all
capitals, as shown here.
3. Detailed Operation
This section describes the details related to creating a canonical
JSON representation, representation and how they are addressed by JCS.
Appendix F describes the RECOMMENDED way of adding JCS support to
existing JSON tools.
3.1. Creation of Input Data
Data to be canonically serialized is usually created by:
o
* Parsing previously generated JSON data.
o
* Programmatically creating data.
Irrespective of the method used, the data to be serialized MUST be
adapted for I-JSON [RFC7493] formatting, which implies the following:
o
* JSON Objects objects MUST NOT exhibit duplicate property names.
o
* JSON String string data MUST be expressible as Unicode [UNICODE].
o
* JSON Number number data MUST be expressible as IEEE-754 IEEE 754 [IEEE754] double double-
precision values. For applications needing higher precision or
longer integers than offered by IEEE-754 IEEE 754 double precision, it is
RECOMMENDED to represent such numbers as JSON Strings, strings; see
Appendix D for details on how this can be performed in an
interoperable and extensible way.
An additional constraint is that parsed JSON String string data MUST NOT be
altered during subsequent serializations. For more information information, see
Appendix E.
Note: although Although the Unicode standard offers the possibility of
rearranging certain character sequences, referred to as "Unicode
Normalization" (https://www.unicode.org/reports/tr15/), JCS compliant [UCNORM], JCS-compliant string processing does not
take this in into consideration. That is, all components involved in a
scheme depending on JCS, JCS MUST preserve Unicode string data "as is".
3.2. Generation of Canonical JSON Data
The following subsections describe the steps required to create a
canonical JSON representation of the data elaborated on in the
previous section.
Appendix A shows sample code for an ES6 based ECMAScript-based canonicalizer,
matching the JCS specification.
3.2.1. Whitespace
Whitespace between JSON tokens MUST NOT be emitted.
3.2.2. Serialization of Primitive Data Types
Assume a the following JSON object as follows is parsed:
{
"numbers": [333333333.33333329, 1E30, 4.50,
2e-3, 0.000000000000000000000000001],
"string": "\u20ac$\u000F\u000aA'\u0042\u0022\u005c\\\"\/",
"literals": [null, true, false]
}
If the parsed data is subsequently serialized using a serializer
compliant with ES6's ECMAScript's "JSON.stringify()", the result would
(with a line wrap added for display purposes only), only) be rather
divergent with respect to the original data:
{"numbers":[333333333.3333333,1e+30,4.5,0.002,1e-27],"string":
"€$\u000f\nA'B\"\\\\\"/","literals":[null,true,false]}
The reason for the difference between the parsed data and its
serialized counterpart, counterpart is due to a wide tolerance on input data (as
defined by JSON [RFC8259]), while output data (as defined by ES6),
ECMAScript) has a fixed representation. As can be seen in the
example, numbers are subject to rounding as well.
The following subsections describe the serialization of primitive
JSON data types according to JCS. This part is identical to that of
ES6.
ECMAScript. In the (unlikely) event that a future version of
ECMAScript would invalidate any of the following serialization
methods, it will be up to the developer community to either stick to
this specification or create a new specification.
3.2.2.1. Serialization of Literals
In accordance with JSON [RFC8259], the literals "null", "true", and
"false" MUST be serialized as null, true, and false false, respectively.
3.2.2.2. Serialization of Strings
For JSON String string data (which includes JSON Object object property names as
well), each Unicode code point MUST be serialized as described below
(see section Section 24.3.2.2 of [ES6]):
o [ECMA-262]):
* If the Unicode value falls within the traditional ASCII control
character range (U+0000 through U+001F), it MUST be serialized
using lowercase hexadecimal Unicode notation (\uhhhh) unless it is
in the set of predefined JSON control characters U+0008, U+0009,
U+000A, U+000C U+000C, or U+000D U+000D, which MUST be serialized as \b, \t, \n,
\f
\f, and \r \r, respectively.
o
* If the Unicode value is outside of the ASCII control character
range, it MUST be serialized "as is" unless it is equivalent to
U+005C (\) or U+0022 (") ("), which MUST be serialized as \\ and \" \",
respectively.
Finally, the resulting sequence of Unicode code points MUST be
enclosed in double quotes (").
Note: since Since invalid Unicode data like "lone surrogates" (e.g. (e.g.,
U+DEAD) may lead to interoperability issues including broken
signatures, occurrences of such data MUST cause a compliant JCS
implementation to terminate with an appropriate error.
3.2.2.3. Serialization of Numbers
ES6
ECMAScript builds on the IEEE-754 IEEE 754 [IEEE754] double precision double-precision standard
for representing JSON Number number data. Such data MUST be serialized
according to section Section 7.1.12.1 of [ES6] [ECMA-262], including the "Note 2"
enhancement.
Due to the relative complexity of this part, the algorithm itself is
not included in this document. For implementers of JCS compliant JCS-compliant
number serialization, Google's implementation in V8 [V8] may serve as
a reference. Another compatible number serialization reference
implementation is Ryu [RYU], that which is used by the JCS open source open-source
Java implementation mentioned in Appendix G. Appendix B holds a set
of
IEEE-754 IEEE 754 sample values and their corresponding JSON serialization.
Note: since "NaN" (Not Since Not a Number) Number (NaN) and "Infinity" Infinity are not permitted in
JSON, occurrences of "NaN" NaN or "Infinity" Infinity MUST cause a compliant JCS
implementation to terminate with an appropriate error.
3.2.3. Sorting of Object Properties
Although the previous step normalized the representation of primitive
JSON data types, the result would not yet qualify as "canonical"
since JSON Object object properties are not in lexicographic (alphabetical)
order.
Applied to the sample in Section 3.2.2, a properly canonicalized
version should (with a line wrap added for display purposes only), only)
read as:
{"literals":[null,true,false],"numbers":[333333333.3333333,
1e+30,4.5,0.002,1e-27],"string":"€$\u000f\nA'B\"\\\\\"/"}
The rules for lexicographic sorting of JSON Object object properties
according to JCS are as follows:
o
* JSON Object object properties MUST be sorted recursively, which means
that JSON child Objects MUST have their properties sorted as well.
o
* JSON Array array data MUST also be scanned for the presence of JSON
Objects
objects (if an object is found found, then its properties MUST be
sorted), but array element order MUST NOT be changed.
When a JSON Object object is about to have its properties sorted, the
following measures MUST be adhered to:
o
* The sorting process is applied to property name strings in their
"raw" (unescaped) form. That is, a newline character is treated
as U+000A.
o
* Property name strings to be sorted are formatted as arrays of
UTF-16 [UNICODE] code units. The sorting is based on pure value
comparisons, where code units are treated as unsigned integers,
independent of locale settings.
o
* Property name strings either have different values at some index
that is a valid index for both strings, or their lengths are
different, or both. If they have different values at one or more
index positions, let k be the smallest such index; then then, the
string whose value at position k has the smaller value, as
determined by using the < "<" operator, lexicographically precedes
the other string. If there is no index position at which they
differ, then the shorter string lexicographically precedes the
longer string.
In plain English English, this means that property names are sorted in
ascending order like the following:
""
"a"
"aa"
"ab"
The rationale for basing the sorting algorithm on UTF-16 code units
is that it maps directly to the string type in ECMAScript (featured
in Web web browsers and Node.js), Java Java, and .NET. In addition, JSON only
supports escape sequences expressed as UTF-16 code units units, making
knowledge and handling of such data a necessity anyway. Systems
using another internal representation of string data will need to
convert JSON property name strings into arrays of UTF-16 code units
before sorting. The conversion from UTF-8 or UTF-32 to UTF-16 is
defined by the Unicode [UNICODE] standard.
The following JSON test data can be used for verifying the
correctness of the sorting scheme in a JCS implementation. JSON test data: implementation:
{
"\u20ac": "Euro Sign",
"\r": "Carriage Return",
"\ufb33": "Hebrew Letter Dalet With Dagesh",
"1": "One",
"\ud83d\ude00": "Emoji: Grinning Face",
"\u0080": "Control",
"\u00f6": "Latin Small Letter O With Diaeresis"
}
Expected argument order after sorting property strings:
"Carriage Return"
"One"
"Control"
"Latin Small Letter O With Diaeresis"
"Euro Sign"
"Emoji: Grinning Face"
"Hebrew Letter Dalet With Dagesh"
Note: for For the purpose of obtaining a deterministic property order,
sorting on of data encoded in UTF-8 or UTF-32 encoded data would also work, but the
outcome for JSON data like above would differ and thus be
incompatible with this specification. However, in practice, property
names are rarely defined outside of 7-bit ASCII ASCII, making it possible
to sort on string data in UTF-8 or UTF-32 format without conversions conversion to
UTF-16 and still be compatible with JCS. If Whether or not this is a
viable option
or not depends on the environment JCS is used in.
3.2.4. UTF-8 Generation
Finally, in order to create a platform independent platform-independent representation,
the result of the preceding step MUST be encoded in UTF-8.
Applied to the sample in Section 3.2.3 3.2.3, this should yield the
following bytes, here shown in hexadecimal notation:
7b 22 6c 69 74 65 72 61 6c 73 22 3a 5b 6e 75 6c 6c 2c 74 72
75 65 2c 66 61 6c 73 65 5d 2c 22 6e 75 6d 62 65 72 73 22 3a
5b 33 33 33 33 33 33 33 33 33 2e 33 33 33 33 33 33 33 2c 31
65 2b 33 30 2c 34 2e 35 2c 30 2e 30 30 32 2c 31 65 2d 32 37
5d 2c 22 73 74 72 69 6e 67 22 3a 22 e2 82 ac 24 5c 75 30 30
30 66 5c 6e 41 27 42 5c 22 5c 5c 5c 5c 5c 22 2f 22 7d
This data is intended to be usable as input to cryptographic methods.
4. IANA Considerations
This document has no IANA actions.
5. Security Considerations
It is crucial to perform sanity checks on input data to avoid
overflowing buffers and similar things that could affect the
integrity of the system.
When JCS is applied to signature schemes like the one described in
Appendix F, applications MUST perform the following operations before
acting upon received data:
1. Parse the JSON data and verify that it adheres to I-JSON.
2. Verify the data for correctness according to the conventions
defined by the ecosystem where it is to be used. This also
includes locating the property holding the signature data.
3. Verify the signature.
If any of these steps fail, the operation in progress MUST be
aborted.
7.
6. References
7.1.
6.1. Normative References
[ES6] Ecma
[ECMA-262] ECMA International, "ECMAScript 2015 2019 Language
Specification", Standard ECMA-262 10th Edition, June 2015, <https://www.ecma-
international.org/ecma-262/6.0/index.html>. 2019,
<https://www.ecma-international.org/ecma-262/10.0/
index.html>.
[IEEE754] IEEE, "IEEE Standard for Floating-Point Arithmetic",
August 2008, <http://grouper.ieee.org/groups/754/>. IEEE
754-2019, DOI 10.1109/IEEESTD.2019.8766229,
<https://ieeexplore.ieee.org/document/8766229>.
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119,
DOI 10.17487/RFC2119, March 1997,
<https://www.rfc-editor.org/info/rfc2119>.
[RFC8259]
[RFC7493] Bray, T., Ed., "The JavaScript Object Notation (JSON) Data
Interchange I-JSON Message Format", STD 90, RFC 8259, 7493,
DOI 10.17487/RFC8259, December 2017,
<https://www.rfc-editor.org/info/rfc8259>. 10.17487/RFC7493, March 2015,
<https://www.rfc-editor.org/info/rfc7493>.
[RFC8174] Leiba, B., "Ambiguity of Uppercase vs Lowercase in RFC
2119 Key Words", BCP 14, RFC 8174, DOI 10.17487/RFC8174,
May 2017, <https://www.rfc-editor.org/info/rfc8174>.
[RFC7493]
[RFC8259] Bray, T., Ed., "The I-JSON Message JavaScript Object Notation (JSON) Data
Interchange Format", STD 90, RFC 7493, 8259,
DOI 10.17487/RFC7493, March 2015,
<https://www.rfc-editor.org/info/rfc7493>. 10.17487/RFC8259, December 2017,
<https://www.rfc-editor.org/info/rfc8259>.
[UCNORM] The Unicode Consortium, "Unicode Normalization Forms",
<https://www.unicode.org/reports/tr15/>.
[UNICODE] The Unicode Consortium, "The Unicode Standard, Version
12.1.0", May 2019,
<https://www.unicode.org/versions/Unicode12.1.0/>.
7.2. Standard",
<https://www.unicode.org/versions/latest/>.
6.2. Informative References
[JSONCOMP] A. Rundgren, A., ""Comparable" JSON - (JSONCOMP)", Work in progress",
<https://tools.ietf.org/html/draft-rundgren-comparable-
json-04>.
Progress, Internet-Draft, draft-rundgren-comparable-json-
04, 13 February 2019, <https://tools.ietf.org/html/draft-
rundgren-comparable-json-04>.
[KEYBASE] "Keybase",
<https://keybase.io/docs/api/1.0/canonical_packings#json>. Keybase, "Canonical Packings for JSON and Msgpack",
<https://keybase.io/docs/api/1.0/canonical_packings>.
[NODEJS] OpenJS Foundation, "Node.js", <https://nodejs.org>.
[OPENAPI] OpenAPI Initiative, "The OpenAPI Initiative", Specification: a broadly
adopted industry standard for describing modern APIs",
<https://www.openapis.org/>.
[RFC7638] Jones, M. and N. Sakimura, "JSON Web Key (JWK)
Thumbprint", RFC 7638, DOI 10.17487/RFC7638, September
2015, <https://www.rfc-editor.org/info/rfc7638>.
[RFC4648] Josefsson, S., "The Base16, Base32, and Base64 Data
Encodings", RFC 4648, DOI 10.17487/RFC4648, October 2006,
<https://www.rfc-editor.org/info/rfc4648>.
[RFC7515] Jones, M., Bradley, J., and N. Sakimura, "JSON Web
Signature (JWS)", RFC 7515, DOI 10.17487/RFC7515, May
2015, <https://www.rfc-editor.org/info/rfc7515>.
[RFC7638] Jones, M. and N. Sakimura, "JSON Web Key (JWK)
Thumbprint", RFC 7638, DOI 10.17487/RFC7638, September
2015, <https://www.rfc-editor.org/info/rfc7638>.
[RYU] Ulf Adams, "Ryu floating point number serializing algorithm", commit
27d3c55, May 2020, <https://github.com/ulfjack/ryu>.
[V8] Google LLC, "Chrome V8 Open Source JavaScript Engine", "What is V8?", <https://v8.dev/>.
[XMLDSIG] W3C, "XML Signature Syntax and Processing Version 1.1",
W3C Recommendation, April 2013,
<https://www.w3.org/TR/xmldsig-core1/>.
Appendix A. ES6 ECMAScript Sample Canonicalizer
Below is an example of a JCS canonicalizer for usage with ES6 ECMAScript-
based systems:
////////////////////////////////////////////////////////////
// Since the primary purpose of this code is highlighting //
// the core of the JCS algorithm, error handling and //
// UTF-8 generation were not implemented implemented. //
////////////////////////////////////////////////////////////
var canonicalize = function(object) {
var buffer = '';
serialize(object);
return buffer;
function serialize(object) {
if (object === null || typeof object !== 'object' ||
object.toJSON != null) {
/////////////////////////////////////////////////
// Primitive type or toJSON - Use ES6/JSON toJSON, use "JSON" //
/////////////////////////////////////////////////
buffer += JSON.stringify(object);
} else if (Array.isArray(object)) {
/////////////////////////////////////////////////
// Array - Maintain element order //
/////////////////////////////////////////////////
buffer += '[';
let next = false;
object.forEach((element) => {
if (next) {
buffer += ',';
}
next = true;
/////////////////////////////////////////
// Array element - Recursive expansion //
/////////////////////////////////////////
serialize(element);
});
buffer += ']';
} else {
/////////////////////////////////////////////////
// Object - Sort properties before serializing //
/////////////////////////////////////////////////
buffer += '{';
let next = false;
Object.keys(object).sort().forEach((property) => {
if (next) {
buffer += ',';
}
next = true;
///////////////////////////////////////////////
/////////////////////////////////////////////
// Property names are strings - Use ES6/JSON strings, use "JSON" //
///////////////////////////////////////////////
/////////////////////////////////////////////
buffer += JSON.stringify(property);
buffer += ':';
//////////////////////////////////////////
// Property value - Recursive expansion //
//////////////////////////////////////////
serialize(object[property]);
});
buffer += '}';
}
}
};
Appendix B. Number Serialization Samples
The following table holds a set of ES6 compatible Number ECMAScript-compatible number
serialization samples, including some edge cases. The column
"IEEE-754" "IEEE
754" refers to the internal ES6 ECMAScript representation of the Number "Number"
data type type, which is based on the IEEE-754 IEEE 754 [IEEE754] standard using
64-bit (double precision) (double-precision) values, here expressed in hexadecimal.
|===================================================================|
+==================+===========================+====================+
| IEEE-754 IEEE 754 | JSON Representation | Comment |
|===================================================================|
+==================+===========================+====================+
| 0000000000000000 | 0 | Zero |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 8000000000000000 | 0 | Minus zero |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 0000000000000001 | 5e-324 | Min pos number |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 8000000000000001 | -5e-324 | Min neg number |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 7fefffffffffffff | 1.7976931348623157e+308 | Max pos number |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| ffefffffffffffff | -1.7976931348623157e+308 | Max neg number |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 4340000000000000 | 9007199254740992 | Max pos int (1) |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| c340000000000000 | -9007199254740992 | Max neg int (1) |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 4430000000000000 | 295147905179352830000 | ~2**68 (2) |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 7fffffffffffffff | | NaN (3) |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 7ff0000000000000 | | Infinity (3) |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 44b52d02c7e14af5 | 9.999999999999997e+22 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 44b52d02c7e14af6 | 1e+23 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 44b52d02c7e14af7 | 1.0000000000000001e+23 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 444b1ae4d6e2ef4e | 999999999999999700000 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 444b1ae4d6e2ef4f | 999999999999999900000 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 444b1ae4d6e2ef50 | 1e+21 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 3eb0c6f7a0b5ed8c | 9.999999999999997e-7 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 3eb0c6f7a0b5ed8d | 0.000001 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 41b3de4355555553 | 333333333.3333332 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 41b3de4355555554 | 333333333.33333325 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 41b3de4355555555 | 333333333.3333333 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 41b3de4355555556 | 333333333.3333334 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 41b3de4355555557 | 333333333.33333343 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| becbf647612f3696 | -0.0000033333333333333333 | |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
| 43143ff3c1cb0959 | 1424953923781206.2 | Round to even (4) |
|-------------------------------------------------------------------|
+------------------+---------------------------+--------------------+
Table 1: ECMAScript-Compatible JSON Number Serialization Samples
Notes:
(1) For maximum compliance with the ES6 ECMAScript "JSON" object, values
that are to be interpreted as true integers SHOULD be in the
range -9007199254740991 to 9007199254740991. However, how
numbers are used in applications do does not affect the JCS
algorithm.
(2) Although a set of specific integers like 2**68 could be regarded
as having extended precision, the JCS/ES6 JCS/ECMAScript number
serialization algorithm does not take this in into consideration.
(3) Value Values out range, of range are not permitted in JSON. See
Section 3.2.2.3.
(4) This number is exactly 1424953923781206.25 but will will, after the
"Note 2" rule mentioned in Section 3.2.2.3 3.2.2.3, be truncated and
rounded to the closest even value.
For a more exhaustive validation of a JCS number serializer, you may
test against a file (currently) available in the development portal
(see Appendix I), I) containing a large set of sample values. Another
option is running V8 [V8] as a live reference together with a program
generating a substantial amount of random IEEE-754 IEEE 754 values.
Appendix C. Canonicalized JSON as "Wire Format"
Since the result from the canonicalization process (see
Section 3.2.4), 3.2.4) is fully valid JSON, it can also be used as "Wire
Format". However, this is just an option since cryptographic schemes
based on JCS, in most cases cases, would not depend on that externally
supplied JSON data already is being canonicalized.
In fact, the ES6 ECMAScript standard way of serializing objects using
"JSON.stringify()" produces a more "logical" format, where properties
are kept in the order they were created or received. The example
below shows an address record which that could benefit from ES6 ECMAScript
standard serialization:
{
"name": "John Doe",
"address": "2000 Sunset Boulevard",
"city": "Los Angeles",
"zip": "90001",
"state": "CA"
}
Using canonicalization canonicalization, the properties above would be output in the
order "address", "city", "name", "state" "state", and "zip", which adds
fuzziness to the data from a human (developer or technical support), support)
perspective. Canonicalization also converts JSON data into a single
line of text, which may be less than ideal for debugging and logging.
Appendix D. Dealing with Big Numbers
There are several issues associated with the JSON Number number type, here
illustrated by the following sample object:
{
"giantNumber": 1.4e+9999,
"payMeThis": 26000.33,
"int64Max": 9223372036854775807
}
Although the sample above conforms to JSON [RFC8259], applications
would normally use different native data types for storing
"giantNumber" and "int64Max". In addition, monetary data like
"payMeThis" would presumably not rely on floating point floating-point data types
due to rounding issues with respect to decimal arithmetic.
The established way of handling this kind of "overloading" of the
JSON
Number number type (at least in an extensible manner), manner) is through
mapping mechanisms, instructing parsers what to do with different
properties based on their name. However, this greatly limits the
value of using the JSON Number number type outside of its original original, somewhat constrained,
constrained JavaScript context. The ES6 ECMAScript "JSON" object does
not support mappings to the JSON Number number type either.
Due to the above, numbers that do not have a natural place in the
current JSON ecosystem MUST be wrapped using the JSON String string type.
This is close to a de-facto de facto standard for open systems. This is also
applicable for other data types that do not have direct support in
JSON, like "DateTime" objects as described in Appendix E.
Aided by a system using the JSON String type; string type, be it programmatic like
var obj = JSON.parse('{"giantNumber": "1.4e+9999"}');
var biggie = new BigNumber(obj.giantNumber);
or declarative schemes like OpenAPI [OPENAPI], JCS imposes no limits
on applications, including when using ES6. ECMAScript.
Appendix E. String Subtype Handling
Due to the limited set of data types featured in JSON, the JSON
String
string type is commonly used for holding subtypes. This can can,
depending on JSON parsing method method, lead to interoperability problems problems,
which MUST be dealt with by JCS compliant JCS-compliant applications targeting a
wider audience.
Assume you want to parse a JSON object where the schema designer
assigned the property "big" for holding a "BigInt" subtype and "time"
for holding a "DateTime" subtype, while "val" is supposed to be a
JSON Number number compliant with JCS. The following example shows such an
object:
{
"time": "2019-01-28T07:45:10Z",
"big": "055",
"val": 3.5
}
Parsing of this object can be accomplished by the following ES6
ECMAScript statement:
var object = JSON.parse(JSON_object_featured_as_a_string);
After parsing parsing, the actual data can be extracted extracted, which for subtypes subtypes,
also involve involves a conversion step using the result of the parsing
process (an ECMAScript object) as input:
... = new Date(object.time); // Date object
... = BigInt(object.big); // Big integer
... = object.val; // JSON/JS number
Note that the "BigInt" data type is currently only natively supported
by V8 [V8].
Canonicalization of "object" using the sample code in Appendix A
would return the following string:
{"big":"055","time":"2019-01-28T07:45:10Z","val":3.5}
Although this is (with respect to JCS) technically correct, there is
another way of parsing JSON data data, which also can be used with
ECMAScript as shown below:
// "BigInt" requires the following code to become JSON serializable
BigInt.prototype.toJSON = function() {
return this.toString();
};
// JSON parsing using a "stream" based "stream"-based method
var object = JSON.parse(JSON_object_featured_as_a_string,
(k,v) => k == 'time' ? new Date(v) : k == 'big' ? BigInt(v) : v
);
If you now apply the canonicalizer in Appendix A to "object", the
following string would be generated:
{"big":"55","time":"2019-01-28T07:45:10.000Z","val":3.5}
In this case case, the string arguments for "big" and "time" have changed
with respect to the original, presumable presumably making an application
depending on JCS fail.
The reason for the deviation is that in stream stream- and schema based schema-based JSON
parsers, the original "string" string argument is typically replaced on-the- on the
fly by the native subtype which that, when serialized, may exhibit a
different and platform dependent platform-dependent pattern.
That is, stream stream- and schema based schema-based parsing MUST treat subtypes as
"pure" (immutable) JSON String types, string types and perform the actual
conversion to the designated native type in a subsequent step. In
modern programming platforms like Go, Java Java, and C# C#, this can be
achieved with moderate efforts by combining annotations, getters getters, and
setters. Below is an example in C#/Json.NET showing a part of a
class that is serializable as a JSON Object: object:
// The "pure" string solution uses a local
// string variable for JSON serialization while
// exposing another type to the application
[JsonProperty("amount")]
private string _amount;
[JsonIgnore]
public decimal Amount {
get { return decimal.Parse(_amount); }
set { _amount = value.ToString(); }
}
In an application application, "Amount" can be accessed as any other property
while it is actually represented by a quoted string in JSON contexts.
Note: the The example above also addresses the constraints on numeric
data implied by I-JSON (the C# "decimal" data type has quite
different characteristics compared to IEEE-754 IEEE 754 double precision).
E.1. Subtypes in Arrays
Since the JSON Array array construct permits mixing arbitrary JSON data
types, custom parsing and serialization code may be required to cope
with subtypes anyway.
Appendix F. Implementation Guidelines
The optimal solution is integrating support for JCS directly in JSON
serializers (parsers need no changes). That is, canonicalization
would just be an additional "mode" for a JSON serializer. However,
this is currently not the case. Fortunately, JCS support can be
introduced through externally supplied canonicalizer software acting
as a post processor to existing JSON serializers. This arrangement
also relieves the JCS implementer from having to deal with how
underlying data is to be represented in JSON.
The post processor concept enables signature creation schemes like
the following:
1. Create the data to be signed.
2. Serialize the data using existing JSON tools.
3. Let the external canonicalizer process the serialized data and
return canonicalized result data.
4. Sign the canonicalized data.
5. Add the resulting signature value to the original JSON data
through a designated signature property.
6. Serialize the completed (now signed) JSON object using existing
JSON tools.
A compatible signature verification scheme would then be as follows:
1. Parse the signed JSON data using existing JSON tools.
2. Read and save the signature value from the designated signature
property.
3. Remove the signature property from the parsed JSON object.
4. Serialize the remaining JSON data using existing JSON tools.
5. Let the external canonicalizer process the serialized data and
return canonicalized result data.
6. Verify that the canonicalized data matches the saved signature
value using the algorithm and key used for creating the
signature.
A canonicalizer like above is effectively only a "filter",
potentially usable with a multitude of quite different cryptographic
schemes.
Using a JSON serializer with integrated JCS support, the
serialization performed before the canonicalization step could be
eliminated for both processes.
Appendix G. Open Source Open-Source Implementations
The following Open Source open-source implementations have been verified to be
compatible with JCS:
* JavaScript: https://www.npmjs.com/package/canonicalize <https://www.npmjs.com/package/canonicalize>
* Java: https://github.com/erdtman/java-json-canonicalization <https://github.com/erdtman/java-json-canonicalization>
* Go: https://github.com/cyberphone/json-
canonicalization/tree/master/go <https://github.com/cyberphone/json-
canonicalization/tree/master/go>
* .NET/C#: https://github.com/cyberphone/json-
canonicalization/tree/master/dotnet <https://github.com/cyberphone/json-
canonicalization/tree/master/dotnet>
* Python: https://github.com/cyberphone/json-
canonicalization/tree/master/python3 <https://github.com/cyberphone/json-
canonicalization/tree/master/python3>
Appendix H. Other JSON Canonicalization Efforts
There are (and have been) other efforts creating "Canonical JSON".
Below is a list of URLs to some of them:
* https://tools.ietf.org/html/draft-staykov-hu-json-canonical-
form-00 <https://tools.ietf.org/html/draft-staykov-hu-json-canonical-form-
00>
* https://gibson042.github.io/canonicaljson-spec/ <https://gibson042.github.io/canonicaljson-spec/>
* http://wiki.laptop.org/go/Canonical_JSON <http://wiki.laptop.org/go/Canonical_JSON>
The listed efforts all build on text level JSON to JSON text-level JSON-to-JSON
transformations. The primary feature of text level text-level canonicalization
is that it can be made neutral to the flavor of JSON used. However,
such schemes also imply major changes to the JSON parsing process process,
which is a likely hurdle for adoption. Albeit at the expense of
certain JSON and application constraints, JCS was designed to be
compatible with existing JSON tools.
Appendix I. Development Portal
The JCS specification is currently developed at:
https://github.com/cyberphone/ietf-json-canon.
<https://github.com/cyberphone/ietf-json-canon>.
JCS source code and extensive test data is available at:
https://github.com/cyberphone/json-canonicalization
6.
<https://github.com/cyberphone/json-canonicalization>.
Acknowledgements
Building on ES6 Number ECMAScript number serialization was originally proposed
by James Manger. This ultimately led to the adoption of the entire ES6
ECMAScript serialization scheme for JSON primitives.
Other people who have contributed with valuable input to this
specification include Scott Ananian, Tim Bray, Ben Campbell, Adrian
Farell, Richard Gibson, Bron Gondwana, John-Mark Gurney, Mike Jones,
John Levine, Mark Miller, Matthew Miller, Mike Jones, Mark Nottingham, Mike
Samuel, Jim Schaad, Robert Tupelo-Schneck Tupelo-Schneck, and Michal Wadas.
For carrying out real world real-world concept verification, the software and
support for number serialization provided by Ulf Adams, Tanner Gooding
Gooding, and Remy Oudompheng was very helpful.
Authors' Addresses
Anders Rundgren
Independent
Montpellier
France
Email: anders.rundgren.net@gmail.com
URI: https://www.linkedin.com/in/andersrundgren/
Bret Jordan
Broadcom
1320 Ridder Park Drive
San Jose, CA 95131
United States of America
Email: bret.jordan@broadcom.com
Samuel Erdtman
Spotify AB
Birger Jarlsgatan 61, 4tr
SE-113 56 Stockholm
Sweden
Email: erdtman@spotify.com