#confidentialcomputing
Live, measured metrics for the hashtag #confidentialcomputing from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #confidentialcomputing
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-29 01:22 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-09-29 01:22 UTCNo related tags with measured usage found for #confidentialcomputing.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-29 01:22 UTCEverything below is measured over the latest 40 public posts (spanning ~5333 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (34) · German (5) · Hungarian (1)
Avg boosts / post: 1.1
Top of the latest posts
BadAML exploits host-supplied ACPI tables to get arbitrary code execution inside confidential VMs. We reproduced the attack end-to-end against our stack and built an AML sandbox to stop it. I did a writeup on the original paper that publish
Fabricked, a new attack on AMD SEV-SNP presented: software-based attack that manipulates memory routing of inter-component communication within the SoC to trick the secure processor into improperly initializing the RPM table. The root cause
I'm happy to announce our work has been accepted at ESORICS 2026, going to be held at Rome, Italy in September later this year! "A Systematic Look at Quality-of-Service Feature Effects on Side Channels in AMD SEV-SNP" In our work, we show t
#confidentialcomputing across platforms
every network with a public tag surfaceFollow #confidentialcomputing straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/confidentialcomputing