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Channel

Group-IB

@Group_IB

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cross-platform identity · Cite this entry

2,416subscribers

+41 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001423283191
TypeChannel
Username@Group_IB
CreatedBetween 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live29 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/Group_IB

Growth

2,3732,4162,394.56 August 2026 — 2,375 subscribers6 August 2026 — 2,375 subscribers7 August 2026 — 2,379 subscribers10 August 2026 — 2,373 subscribers14 August 2026 — 2,376 subscribers17 August 2026 — 2,386 subscribers20 August 2026 — 2,396 subscribers23 August 2026 — 2,407 subscribers25 August 2026 — 2,412 subscribers29 August 2026 — 2,416 subscribers6 August 202629 August 2026
10 measurements spanning 23 days, net +41. 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 2,367–2,422 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 02:352,416+4
25 Aug 2026, 21:222,412+5
23 Aug 2026, 04:072,407+11
20 Aug 2026, 00:112,396+10
17 Aug 2026, 10:362,386+10
14 Aug 2026, 06:072,376+3
10 Aug 2026, 14:512,373-6
7 Aug 2026, 05:232,379+4
6 Aug 2026, 11:172,375no change
6 Aug 2026, 11:062,375first reading

Engagement

20 posts held, back to 6 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.9%
avg views ÷ 2,416 subscribers
Avg views / post
385
4 posts measured
Reaction rate
2.92%
reactions ÷ views · ER floor
Posts in window
4
of 20 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 5 August 2026
Posts held20 (6 May 20265 August 2026)
Views total1,541
Reactions total45
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:37 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
31s
Average length
16s

Measured directly from 2 videos 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

247 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 53.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥13353.8%
👍4618.6%
4116.6%
👏114.45%
🖕114.45%
🏆10.405%
👌10.405%
👎10.405%
🤩10.405%
🤯10.405%

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 247reactions 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 6 May 2026 to 5 August 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.

Recent posts

5 Aug 2026, 08:33 UTC251 views13 reactionsread 7 August 2026
Photo

🚨The most expensive fraud sits at the one stage nobody in the bank owns. Cyber sees the fake domain. Fraud sees the money leaving. The moment a customer is compromised falls into the gap between teams, where no telemetry tells the full story. Group-IB CEO Dmitry Volkov calls this positional, not technological: no transaction-layer tool removes it, only an observer placed earlier on the chain. Article one in his ne

👍6🔥32👏2

4 Aug 2026, 08:35 UTC329 views11 reactionsread 7 August 2026
Photo

🎉 Group-IB's Threat Intelligence solution is now available in AWS Marketplace. Designed to provide adversary-centric intelligence, Group-IB's Threat Intelligence helps organizations identify and assess cyber threats at their earliest stages: from compromised credentials and dark web activity to emerging cybercrime groups, APT campaigns, fraud schemes, and large-scale attack indicators. Powered by Group-IB's global

🔥9👍2

30 Jul 2026, 07:46 UTC507 views9 reactionsread 7 August 2026
Photo

🚨Cryptomining campaigns continue to evolve beyond simple resource theft. In our latest research, Group-IB analysts uncovered a covert Linux-based XMRig operation that leveraged trusted third-party access to infiltrate victim environments before deploying a heavily modified cryptomining implant engineered for stealth, persistence, and defence evasion. Key Highlights: 🔹 Abuse of Linux PAM (pam_rootok) to impersonate

🔥62👍1

30 Jul 2026, 05:30 UTC454 views12 reactionsread 7 August 2026
Photo

🚨 Fraud teams at banks and payment providers are under more pressure than ever. ATO, APP fraud, scams, and mule activity are accelerating, and regulators are watching. KuppingerCole has published its Buyer’s Compass for Fraud Reduction Intelligence Platforms (FRIP) – Finance 2026, an independent framework for evaluating FRIP solutions, mapping capabilities to use cases, and providing structured RFP guidance. Group-

🔥6👍51

23 Jul 2026, 09:04 UTC650 views10 reactionsread 7 August 2026
Photo

🚨A single OPSEC mistake exposed an entire China-nexus operation. An exposed Alibaba Cloud staging server provided a rare view into an active threat operation. The infrastructure revealed attacker tooling, bash history, victim paths, and post-exploitation activity, leading to the discovery of a previously undocumented threat cluster we track as JadeProx. Key Highlights: 🔹Discovery of TriBack Loader, a previously und

🔥8👍2

20 Jul 2026, 07:54 UTC668 views10 reactionsread 7 August 2026
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🚨 Group-IB Threat Intelligence researchers have uncovered HOLLOWGRAPH, a Windows malware linked with high confidence to the Cavern framework that abuses Microsoft Graph API and compromised Microsoft 365 accounts to establish a covert command-and-control channel. Key findings from our research: 🔹 Microsoft 365 calendars repurposed as two-way dead drops for command execution and data exfiltration 🔹 Commands and stolen

🔥82

16 Jul 2026, 07:19 UTC728 views19 reactionsread 7 August 2026
Photo

🚨Group-IB researchers have uncovered ClickLock Stealer, a previously undocumented macOS malware that combines ClickFix social engineering, credential theft, crypto wallet harvesting, Keychain extraction, and persistent remote access into a single attack chain. Key findings: 🔹At least 100 victims identified across 33 countries, with more than 50% located in Europe 🔹Targets 8 browsers, 31 crypto wallet extensions, 7 p

🔥95👍4🏆1

9 Jul 2026, 07:17 UTC863 views9 reactionsread 7 August 2026
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Android malware continues to evolve, and RedHook is a prime example of how legitimate developer features can be repurposed for malicious gain. Our latest research analyzes the newest version of the RedHook Android RAT, which introduces a sophisticated privilege abuse chain by leveraging ADB Wireless Debugging to obtain shell-level access.. Key Highlights: 🔹 Autonomous abuse of ADB Wireless Debugging to gain shell-l

🔥9

7 Jul 2026, 08:52 UTC749 views10 reactionsread 7 August 2026
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Scattered Spider has been linked to major cyberattacks in recent years, but our latest research suggests the threat is often misunderstood. Group-IB's investigation shows Scattered Spider is not a single threat group but a decentralized cybercrime collective of independent subclusters connected by shared TTPs. Key findings: 🔹 Scattered Spider is better understood as a network of autonomous subclusters rather than a

🔥73

1 Jul 2026, 10:01 UTC922 views10 reactionsread 7 August 2026
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🚨Smishing campaigns continue to evolve beyond convincing lures. Modern phishing operations are increasingly engineered to evade detection. In our latest technical analysis, Group-IB researchers dissect a campaign targeting drivers in Serbia through fake traffic fine SMS notifications. The investigation links the operation to two Phishing-as-a-Service ecosystems, Darcula and Phoenix, and reveals a phishing framework

👏8👍1🔥1

11 Jun 2026, 07:40 UTC≈1,290 views18 reactionsread 7 August 2026
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Group-IB supported INTERPOL and the Algerian National Police in dismantling SniperDz, a phishing-as-a-service (PhaaS) platform that operated for nearly a decade and enabled cybercriminals to launch phishing campaigns at scale. Key findings: 🔹 20,000+ domains linked to the ecosystem 🔹 30+ global brands impersonated 🔹 80 phishing templates across five languages 🔹 45,000+ victim records reported by the platform in 2016

7🔥7👍2🖕2

10 Jun 2026, 07:46 UTC≈1,040 views13 reactionsread 7 August 2026
Photo

Our latest research examines SilabRAT, a Malware-as-a-Service platform sold on underground forums that combines credential theft, browser profile cloning, HVNC, Chrome App-Bound Encryption bypass techniques, and cryptocurrency-focused capabilities into a single offering. Key findings: 🔹 SilabRAT has been marketed on underground forums since late 2025 for $5,000/month 🔹 Leverages HVNC for invisible interaction with v

🔥6👍5🖕2

Showing the 12 most recent of 20 posts we hold for @Group_IB. 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

Citation-graph rank — 797,347 of 1,624,174entries 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.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

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.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q16471828 on Wikidata, read 16 August 2026
LabelGroup-IB
DescriptionGlobal cybersecurity technology company
Official sitehttps://www.group-ib.com/

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

“Group-IB” (@Group_IB), 2,416 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/Group_IB.

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.