#hyperjacking
Live, measured metrics for the hashtag #hyperjacking from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #hyperjacking
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 · mastodon.online (Mastodon public tags API) · fetched 2026-09-27 21:46 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-09-27 21:46 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-27 21:46 UTCEverything below is measured over the latest 2 public posts (spanning ~21283 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0
Top of the latest posts
Threat posed by new #VMware #hyperjacking #vulnerabilities is hard to overstate 3 critical vulnerabilities in multiple #VM products from VMware can give hackers unusually broad access to some of the most sensitive environments inside multip
Mystery hackers are “hyperjacking” targets for insidious spying - Enlarge (credit: Marco Rosario Venturini Autieri/Getty Images) ... - https://arstechnica.com/?p=1885873 #virtualization #hyperjacking #syndication #security #hacking #biz&it
What “hyperjacking” means
WikipediaHyperjacking is an attack in which a hacker takes malicious control over the hypervisor that creates the virtual environment within a virtual machine (VM) host. The point of the attack is to target the operating system that is below that of the virtual machines so that the attacker's program can run and the applications on the VMs above it will be completely oblivious to its presence.
“Hyperjacking” on Wikipedia (CC BY-SA) →#hyperjacking across platforms
every network with a public tag surfaceFollow #hyperjacking 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/hyperjacking