A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
{
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{
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"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"litepub": "http://litepub.social/ns#",
"directMessage": "litepub:directMessage",
"blurhash": "toot:blurhash",
"focalPoint": {
"@container": "@list",
"@id": "toot:focalPoint"
}
}
],
"id": "https://infosec.exchange/users/pulls/collections/featured",
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"id": "https://infosec.exchange/users/pulls/statuses/112559868236731334",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2024-06-04T18:54:46Z",
"url": "https://infosec.exchange/@pulls/112559868236731334",
"attributedTo": "https://infosec.exchange/users/pulls",
"to": [
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],
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"content": "<p>I evaluated using the first eight production servers from <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.online/@mullvadnet\" class=\"u-url mention\">@<span>mullvadnet</span></a></span> running the new DAITA feature as a Windows user. The results are below. TL;DR: DAITA makes it harder to fingerprint web traffic but costs a couple of extra MiB of bandwidth and seconds of delay per website visit.</p>",
"contentMap": {
"en": "<p>I evaluated using the first eight production servers from <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.online/@mullvadnet\" class=\"u-url mention\">@<span>mullvadnet</span></a></span> running the new DAITA feature as a Windows user. The results are below. TL;DR: DAITA makes it harder to fingerprint web traffic but costs a couple of extra MiB of bandwidth and seconds of delay per website visit.</p>"
},
"updated": "2024-06-04T19:46:26Z",
"attachment": [
{
"type": "Document",
"mediaType": "image/png",
"url": "https://media.infosec.exchange/infosec.exchange/media_attachments/files/112/559/866/039/343/669/original/eb6073e601c19a81.png",
"name": "Six subgraphps in a 2x3 grip. The first two show accuracy of the RF and DF attacks, state of the art website fingerprinting attacks using deep learning, with a significant reduction in accuracy when running the DAITA defense. The middle two graphs show bandwidth overhead of DAITA, in the order of a couple of megabytes per website visit. The bottom row shows delay overhead, with about 1-2 seconds extra per website visit.",
"blurhash": "U1Rysj_2%M~o03xuWB%L%Lt7a|%M4V%Mof%M",
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