#maldoc

Live, measured metrics for the hashtag #maldoc from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #maldoc

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.

$520.70/ year · 6-character #name
Claim #maldoc — $520.70/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
27
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 27
0.1
Avg reactions / post
Mastodon · last 27

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 21:12 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 uses by 0 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 2026-07-28 21:12 UTC
#MalDocinPDF
0 uses · 0 accounts / 7d
#maldocuments
0 uses · 0 accounts / 7d
#maldocs
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 21:12 UTC

Everything below is measured over the latest 27 public posts (spanning ~50357 hours).

Posting hours (UTC) — busiest: 12:00

00:0012:0023:00

Languages: English (23) · French (2) · German (1) · Russian (1)

Avg boosts / post: 1.6

Top of the latest posts

  • Released v1.17.0 of The Pdfalyzer, the surprisingly popular tool for analyzing (possibly malicious) PDFs I created after my own unpleasant experience. Now ships with two command line tools for extracting stuff from PDF files: 1. extract_tex

    ⚯ Michel de Cryptadamus ⚯@[email protected]♥ 1↻ 62025-09-18 22:53 UTCView post →

  • @evacide seeing as how it seems like the Paragon attack was executed via maldoc PDFs i'll just mention i created a (surprisingly popular) tool for analyzing (possibly malicious) PDFs after my own unpleasant encounter with such a creature ht

    ⚯ Michel de Cryptadamus ⚯@[email protected]♥ 1↻ 72025-02-01 01:16 UTCView post →

  • Beware of #MalDoc in #PDF: A New Polyglot Attack Allowing Attackers to Evade Antivirus ⚠️ https://thehackernews.com/2023/09/beware-of-maldoc-in-pdf-new-polyglot.html

    ricardo :mastodon:@governa♥ 1↻ 02023-09-04 08:11 UTCView post →

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/maldoc