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Channel

jarpex | Security by Subtraction

@defaultjarpex

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

172subscribers

+3 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002090282529
TypeChannel
Username@defaultjarpex
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live9 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 9 August 2026
On Telegramt.me/defaultjarpex

Growth

169172170.58 Aug 2026, 14:31 — 169 subscribers8 Aug 2026, 15:16 — 169 subscribers9 Aug 2026, 02:21 — 172 subscribers8 Aug 2026, 14:319 Aug 2026, 02:21
3 measurements taken within a single day, net +3. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 169–172 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 02:21172+3
8 Aug 2026, 15:16169no change
8 Aug 2026, 14:31169first reading

Engagement

10 posts held, back to 6 December 2024the 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.

ERR · 30 days
273.8%
avg views ÷ 172 subscribers
Avg views / post
471
1 post measured
Reaction rate
2.55%
reactions ÷ views · ER floor
Posts in window
1
of 10 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 30 July 2026
Posts held10 (6 December 202430 July 2026)
Views total471
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 15:16 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
13s
Average length
13s

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.

Reaction mix

68 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 57.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3957.4%
🔥1420.6%
custom 533727944268108015768.82%
❤‍🔥57.35%
🌚22.94%
😍11.47%
🤓11.47%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 9 of the 10 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 68reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 6 December 2024 to 30 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
86
across the posts below
Posts paid on
9
of 9 we hold a reading for · 100%
Most on one post
58
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @defaultjarpex. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 10 most recent posts we hold for this entry, published 6 December 2024 to 30 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

30 Jul 2026, 17:40 UTC471 views12 reactions20 Starsread 8 August 2026
Photo

OFFZONE 2026 schedule is officially live! My talk is scheduled for August 21 at 14:00 (Fast Track). Talk: The Static Linking Illusion: How glibc NSS Shatters Isolation in OT/ICS (and Where Security by Subtraction Fits In) Abstract: OT/ICS engineers and distroless container developers rely on static linking as a guarantee of a self‑contained execution environment. In the glibc ecosystem, this assumption is false: w

custom 533727944268108015763🔥2🌚1

8 Jul 2026, 00:07 UTC≈1,020 views6 reactions1 Starread 8 August 2026

Last week, I wrote an optimized version of the CVE-2023-4911 (Looney Tunables) exploit for the x86_64 architecture. However, because QEMU's flawed x64 stack emulation prevented me from testing it properly locally, I had to run it on a remote host. This left the whole project feeling incomplete to me. To finally close that loop and get it out of my system, I decided to port the exploit to aarch64, which is native to m

🔥51

29 Jun 2026, 22:06 UTC970 views6 reactions1 Starread 8 August 2026

Yesterday I needed CVE-2023-4911. An hour later, I was rewriting someone else's exploit. I needed to test a local privilege escalation on a vulnerable box, so I grabbed the classic PoC from Xion at KAIST Hacking Lab. I started the brute-force. Waited. Waited some more. An hour in, still nothing – the ASLR entropy was just eating attempts alive. So I did what any reasonable engineer does at 2 AM: opened a new file

5🔥1

22 Jun 2026, 19:35 UTC803 views6 reactions1 Starread 8 August 2026
Photo

Wrapping up my Standoff recap. One specific PACS task caught my attention. It aligns well with my degree in Information Security of Automated Systems (specifically the "Design of Automated Systems in Secure Execution" profile), since physical access control is a core part of securing automated infrastructure. The quest was a classic chain: exploit the web part, extract an old EM4100 RFID dump, and head over to the

3🔥3

18 Jun 2026, 19:15 UTC758 views6 reactions58 Starsread 8 August 2026
Photo

Looted today at Standoff Talks: • Xakep #2 2026 mag + Standoff special edition; • Positive Research journal & Standoff 10 years postcard; • F6 cyber threat kit (multitool, notebook, RFID shield, and a multi-headed Type-C lanyard); • Bucket hat by @poxek. 😈

5🔥1

18 Jun 2026, 11:56 UTC709 views5 reactions1 Starread 8 August 2026
Photo

Spending these two days at Standoff Talks. Good to be back in the community.

3🔥2

17 Jun 2026, 22:33 UTC663 views13 reactions2 Starsread 8 August 2026

Я ничего не публиковала в этот канал более полутора лет. Но вовсе не потому, что мне было нечего сказать. Сегодня и завтра я буду на Standoff Talks, и это идеальная точка отсчета, чтобы подвести черту и начать новую главу. Мой уход в легкую промышленность в октябре 2024 года не был минутным хобби. Это был затяжной побег от IT на фоне глубокого когнитивного выгорания. В тот момент наложилось всё сразу: нас буквально

12🤓1

6 Dec 2024, 16:19 UTC≈2,010 views7 reactions1 Starread 8 August 2026
Photo

Photo, posted without a caption

7

6 Dec 2024, 16:19 UTC≈1,710 views7 reactions1 Starread 8 August 2026
Photo

Была сегодня на OZON Fashion Fest :) Началось все с небольшого дефиле, которое произвело на меня несколько негативное впечатление. Возможно виной сказалось мое место в зале, хоть я и была на третьем ряду возле сцены, расстояние до моделей было слишком большим, чтобы оценить все детали из образов. Но скорее всего, виной было качество самих луков, как их стилизации и концепции, так и самой одежды в принципе. Ну не мо

❤‍🔥5🌚1😍1

Showing the 10 most recent of 10 posts we hold for @defaultjarpex. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 933,584 of 1,160,990entries 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.

Forward network

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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“jarpex | Security by Subtraction” (@defaultjarpex), 172 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/defaultjarpex.

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.