How to cryptographically hash a JSON object?

The following question is more complex than it may first seem.

Assume that I've got an arbitrary JSON object, one that may contain any amount of data including other nested JSON objects. What I want is a cryptographic hash/di开发者_StackOverflow中文版gest of the JSON data, without regard to the actual JSON formatting itself (eg: ignoring newlines and spacing differences between the JSON tokens).

The last part is a requirement, as the JSON will be generated/read by a variety of (de)serializers on a number of different platforms. I know of at least one JSON library for Java that completely removes formatting when reading data during deserialization. As such it will break the hash.

The arbitrary data clause above also complicates things, as it prevents me from taking known fields in a given order and concatenating them prior to hasing (think roughly how Java's non-cryptographic hashCode() method works).

Lastly, hashing the entire JSON String as a chunk of bytes (prior to deserialization) is not desirable either, since there are fields in the JSON that should be ignored when computing the hash.

I'm not sure there is a good solution to this problem, but I welcome any approaches or thoughts =)

The problem is a common one when computing hashes for any data format where flexibility is allowed. To solve this, you need to canonicalize the representation.

For example, the OAuth1.0a protocol, which is used by Twitter and other services for authentication, requires a secure hash of the request message. To compute the hash, OAuth1.0a says you need to first alphabetize the fields, separate them by newlines, remove the field names (which are well known), and use blank lines for empty values. The signature or hash is computed on the result of that canonicalization.

XML DSIG works the same way - you need to canonicalize the XML before signing it. There is a proposed W3 standard covering this, because it's such a fundamental requirement for signing. Some people call it c14n.

I don't know of a canonicalization standard for json. It's worth researching.

If there isn't one, you can certainly establish a convention for your particular application usage. A reasonable start might be:

• lexicographically sort the properties by name
• double quotes used on all names
• double quotes used on all string values
• no space, or one-space, between names and the colon, and between the colon and the value
• no spaces between values and the following comma
• all other white space collapsed to either a single space or nothing - choose one
• exclude any properties you don't want to sign (one example is, the property that holds the signature itself)
• sign the result, with your chosen algorithm

You may also want to think about how to pass that signature in the JSON object - possibly establish a well-known property name, like "nichols-hmac" or something, that gets the base64 encoded version of the hash. This property would have to be explicitly excluded by the hashing algorithm. Then, any receiver of the JSON would be able to check the hash.

The canonicalized representation does not need to be the representation you pass around in the application. It only needs to be easily produced given an arbitrary JSON object.

Instead of inventing your own JSON normalization/canonicalization you may want to use bencode. Semantically it's the same as JSON (composition of numbers, strings, lists and dicts), but with the property of unambiguous encoding that is necessary for cryptographic hashing.

bencode is used as a torrent file format, every bittorrent client contains an implementation.

This is the same issue as causes problems with S/MIME signatures and XML signatures. That is, there are multiple equivalent representations of the data to be signed.

For example in JSON:

{  "Name1": "Value1", "Name2": "Value2" }

vs.

{
    "Name1": "Value\u0031",
    "Name2": "Value\u0032"
}

Or depending on your application, this may even be equivalent:

{
    "Name1": "Value\u0031",
    "Name2": "Value\u0032",
    "Optional": null
}

Canonicalization could solve that problem, but it's a problem you don't need at all.

The easy solution if you have control over the specification is to wrap the object in some sort of container to protect it from being transformed into an "equivalent" but different representation.

I.e. avoid the problem by not signing the "logical" object but signing a particular serialized representation of it instead.

For example, JSON Objects -> UTF-8 Text -> Bytes. Sign the bytes as bytes, then transmit them as bytes e.g. by base64 encoding. Since you are signing the bytes, differences like whitespace are part of what is signed.

Instead of trying to do this:

{  
   "JSONContent": {  "Name1": "Value1", "Name2": "Value2" },
   "Signature": "asdflkajsdrliuejadceaageaetge="
}

Just do this:

{
   "Base64JSONContent": "eyAgIk5hbWUxIjogIlZhbHVlMSIsICJOYW1lMiI6ICJWYWx1ZTIiIH0s",
   "Signature": "asdflkajsdrliuejadceaageaetge="

}

I.e. don't sign the JSON, sign the bytes of the encoded JSON.

Yes, it means the signature is no longer transparent.

JSON-LD can do normalitzation.

You will have to define your context.

RFC 7638: JSON Web Key (JWK) Thumbprint includes a type of canonicalization. Although RFC7638 expects a limited set of members, we would be able to apply the same calculation for any member.

https://www.rfc-editor.org/rfc/rfc7638#section-3

I would do all fields in a given order (alphabetically for example). Why does arbitrary data make a difference? You can just iterate over the properties (ala reflection).

Alternatively, I would look into converting the raw json string into some well defined canonical form (remove all superflous formatting) - and hashing that.

We encountered a simple issue with hashing JSON-encoded payloads. In our case we use the following methodology:

1. Convert data into JSON object;
2. Encode JSON payload in base64
3. Message digest (HMAC) the generated base64 payload .
4. Transmit base64 payload .

Advantages of using this solution:

1. Base64 will produce the same output for a given payload.
2. Since the resulting signature will be derived directly from the base64-encoded payload and since base64-payload will be exchanged between the endpoints, we will be certain that the signature and payload will be maintained.
3. This solution solve problems that arise due to difference in encoding of special characters.

Disadvantages

1. The encoding/decoding of the payload may add overhead
2. Base64-encoded data is usually 30+% larger than the original payload.

What would be ideal is if JavaScript itself defined a formal hashing process for JavaScript Objects.

Yet we do have RFC-8785 JSON Canonicalization Scheme (JCS) which hopefully can be implemented in most libs for JSON and in particular added to popular JavaScript JSON object. With this canonicalization done it is just a matter of applying your preferred hashing algorithm.

If JCS is available in browsers and other tools and libs it becomes responsible to expect most JSON on-the-wire to be in this common canonicalized form. Common consistent application and verification of standards like this can go some way to pushing back against trivial security threats by low skilled actors.