Channel
@exploitorg
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Referenced elsewhere · Cite this entry
2,435subscribers
-8 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001989696064 |
|---|---|
| Type | Channel |
| Username | @exploitorg |
| Created | Between 1 May 2023 and 30 November 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/exploitorg |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 18:52 | 2,435 | -6 |
| 8 Aug 2026, 10:20 | 2,441 | -2 |
| 7 Aug 2026, 13:48 | 2,443 | no change |
| 7 Aug 2026, 12:27 | 2,443 | first reading |
20 posts held, back to 12 May 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 21 February 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
811 reactions across 20 posts, in 22 distinct kinds. The most used accounts for 30.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 245 | 30.2% | |
| 🔥 | 147 | 18.1% | |
| ❤ | 138 | 17.0% | |
| ❤🔥 | 65 | 8.01% | |
| 💩 | 56 | 6.91% | |
| 🕊 | 40 | 4.93% | |
| 👏 | 39 | 4.81% | |
| 👎 | 23 | 2.84% | |
| 👌 | 12 | 1.48% | |
| ⚡ | 7 | 0.863% | |
| 😁 | 7 | 0.863% | |
| 💊 | 5 | 0.617% | |
| 🖕 | 5 | 0.617% | |
| 🥱 | 5 | 0.617% | |
| ✍ | 3 | 0.37% | |
| 😐 | 3 | 0.37% | |
| 🤮 | 3 | 0.37% | |
| 😴 | 2 | 0.247% | |
| 🤔 | 2 | 0.247% | |
| 🤡 | 2 | 0.247% | |
| 2 further kinds | 2 | 0.247% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 20 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 811reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 12 May 2024 to 21 February 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Caster returns with the release of the “Seen It All” video Taking off his red mask and putting on his blue mask, he performed an in-depth packet analysis and demonstrated Suricata IDS signatures to detect attacks on Active Directory. https://www.youtube.com/watch?v=LvsBC9dGpWg
🔥7❤6👎3💊2😐2
Caster's new release on pivoting on Windows using Nebula in the presence of NAT. Release Date: 30 December 2024 https://blog.exploit.org/caster-ubermensch/
👎7👍4❤2🔥1😐1
Inspired by Friedrich Nietzsche's "Thus Spoke Zarathustra", Caster continues his experiments with Nebula. He has greatly increased the complexity of the network architecture while adapting his experimental concept from “Philosophy of Nietzsche” to it. New release coming soon.
🔥8👍4👎4💊2😴1
Caster's new release, Philosophy of Nietzsche, is available now on exploit.org An extremely specific method of pivoting on Windows using Nebula. https://blog.exploit.org/caster-philosophy-of-nietzsche
🔥6👍4👎3❤🔥2😴1
Caster will release his article “Philosophy of Nietzsche” on December 20
🔥8❤5👎4🥱2🤣1
Magama Bazarov, known under his alter ego Caster is preparing a new release - "Philosophy of Nietzsche" In his September work “Violence” he broke down the technique of pivoting on Linux with Nebula, now he will do the same on Windows with an exotic trick using ICS Sharing. Stay tuned.
🔥14❤6👎2🖕2🥱2
Sterva continues to conquer ADS-B! Meet his new article on exploit.org “ADS-B Spoofing”. This article explores the principles of ADS-B data transmission, encoding, and signal generation through a controlled experimental setup. https://blog.exploit.org/ads-b-spoofing/
❤8🔥4👍2💊1🥱1
Perhaps an airplane will fly over your head every few minutes, or even more than one. Services like Flightradar24 amazingly accurately show information about planes in the air because they receive data through the ADS-B protocol. This can be done independently, and I will show you how to do it. A security researcher under the alias "Sterva" makes his debut on exploit.org with his article on processing flight informa…
👍12🔥4💩3🤮3🤡2
Caster strikes again! His RouterOS configuration security analyzer “Sara” got its own icon in the Kali Linux distribution in the form of Caster's logo. You can install this tool directly from the Kali repository: kali@kali:~$ sudo apt update && sudo apt install sara Unstoppable psycho!
👍14🔥11💩5✍1
TailScale is a popular solution for building virtual networks, but in the hands of a pentester, it can be a pivoting tool. Magama Bazarov, known under his alter ego “Caster” returns to exploit.org with his exotic release “Bipolar Disorder” about pivoting using TailScale. https://blog.exploit.org/caster-bipolar-disorder
👍26🔥15❤13💩8👌7
A researcher under the nickname Caster returns with his "Against" release to our blog. This is an extremely specific article about attacks on MikroTik routers. Release Date: 09/27/2024 https://blog.exploit.org/caster-against/
👍131❤🔥63👏39💩19🔥15
Currently we are witnessing arrest of creator of main digital privacy respecting messenger Pavel Durov. WHY THIS MATTERS: With over 950 million users, Telegram is one of the last products with respect to digital privacy. Holding Durov accountable for content shared by users or for protecting user data from authorities sets a dangerous precedent moving on for everyone that wants to create a privacy first solutions. T…
🕊22👍14❤13🔥12😁5
Showing the 12 most recent of 20 posts we hold for @exploitorg. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 581,292 of 1,183,361entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Hacker News
This handle was named once in a Hacker News comment or story, via the public Algolia search API. HN comment and story text has no confirmed reuse licence, so nothing quoted from either is reproduced here — only that a mention exists, when, and by whom, with a link to read it at the source.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 11 August 2026 — this entry's latest reading, not the date you are reading this.
“exploit.org” (@exploitorg), 2,435 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/exploitorg.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.