#BinaryDiffing

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
30
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 30
0
Avg reactions / post
Mastodon · last 30
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-10 11:19 UTC
0
11-04
0
11-05
0
11-06
0
11-07
0
11-08
0
11-09
0
11-10

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-11-10 11:19 UTC

No related tags with measured usage found for #binarydiffing.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-10 11:19 UTC

Everything below is measured over the latest 30 public posts (spanning ~17760 hours).

Posting hours (UTC) — busiest: 10:00

00:0012:0023:00

Languages: Basque (23) · English (6) · Spanish (1)

Avg boosts / post: 1.6

Top of the latest posts

  • 📚 “Comparing binaries with radiff2” - a video tutorial by Mohamed Atta Abozaid (Egypt) 👀 video https://youtu.be/RsI8hNhsi_U 👉source https://github.com/ReEng101/Binary-Comparison #radare2 #reverseengineering #BinaryDiffing

    :radare2: radare :verified:@radareorg@infosec.exchange♥ 0↻ 22024-11-23 21:09 UTCView post →

  • This paper looks promising: "SIGMADIFF: Semantics-Aware Deep Graph Matching for Pseudocode Diffing". https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=9671&context=sis_research #SigmaDiff #Pseudocode #Diffing #BinaryDiffing #BCSA

    Joxean Koret (@matalaz)@joxean@mastodon.social♥ 0↻ 12024-11-03 08:52 UTCView post →

  • The code is also published (in github) already and #Diaphora now can use an already trained model to try to improve binary diffing results (matching). I haven't made yet a new release just yet as these changes are considered a bit experimen

    Joxean Koret (@matalaz)@joxean@mastodon.social♥ 0↻ 12024-09-23 09:39 UTCView post →

#binarydiffing across platforms

every network with a public tag surface

Follow #binarydiffing 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/binarydiffing