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Channel

Cyber Detective

@cybdetective

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

27,951subscribers

+1,476 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001597138777
TypeChannel
Username@cybdetective
DescriptionEvery day I write about 0pen Source Intelligence tools and techniques. Also little bit about forensics and cybersecurity in general. Work in https://t.me/netlas
CreatedBetween 1 August 2021 and 31 January 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/cybdetective

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 84% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

26,47527,95127,2136 August 2026 — 26,475 subscribers7 August 2026 — 26,492 subscribers8 August 2026 — 26,509 subscribers9 August 2026 — 26,528 subscribers10 August 2026 — 26,537 subscribers11 August 2026 — 26,557 subscribers12 August 2026 — 26,574 subscribers13 August 2026 — 26,576 subscribers14 August 2026 — 26,596 subscribers15 August 2026 — 26,623 subscribers17 August 2026 — 26,656 subscribers18 August 2026 — 26,670 subscribers19 August 2026 — 26,681 subscribers20 August 2026 — 26,698 subscribers21 August 2026 — 26,715 subscribers23 August 2026 — 26,736 subscribers25 August 2026 — 26,763 subscribers25 August 2026 — 26,776 subscribers27 August 2026 — 26,783 subscribers27 August 2026 — 26,799 subscribers29 August 2026 — 26,821 subscribers29 August 2026 — 26,842 subscribers31 August 2026 — 26,849 subscribers1 September 2026 — 26,861 subscribers2 September 2026 — 26,878 subscribers3 September 2026 — 26,912 subscribers5 September 2026 — 26,942 subscribers8 September 2026 — 26,972 subscribers11 September 2026 — 27,046 subscribers13 September 2026 — 27,094 subscribers14 September 2026 — 27,122 subscribers16 September 2026 — 27,185 subscribers18 September 2026 — 27,264 subscribers25 September 2026 — 27,360 subscribers3 October 2026 — 27,520 subscribers8 October 2026 — 27,550 subscribers12 October 2026 — 27,618 subscribers14 October 2026 — 27,637 subscribers15 October 2026 — 27,643 subscribers16 October 2026 — 27,653 subscribers17 October 2026 — 27,652 subscribers18 October 2026 — 27,662 subscribers19 October 2026 — 27,687 subscribers20 October 2026 — 27,701 subscribers21 October 2026 — 27,725 subscribers22 October 2026 — 27,744 subscribers23 October 2026 — 27,766 subscribers24 October 2026 — 27,770 subscribers25 October 2026 — 27,782 subscribers26 October 2026 — 27,798 subscribers27 October 2026 — 27,824 subscribers29 October 2026 — 27,853 subscribers30 October 2026 — 27,866 subscribers31 October 2026 — 27,873 subscribers1 November 2026 — 27,889 subscribers2 November 2026 — 27,904 subscribers3 November 2026 — 27,924 subscribers4 November 2026 — 27,933 subscribers5 November 2026 — 27,951 subscribers6 August 20265 November 2026
59 measurements spanning 91 days, net +1,476. 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 26,254–28,172 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
5 Nov 2026, 11:1827,951+18
4 Nov 2026, 07:4827,933+9
3 Nov 2026, 10:1727,924+20
2 Nov 2026, 08:2027,904+15
1 Nov 2026, 07:0627,889+16
31 Oct 2026, 04:5927,873+7
30 Oct 2026, 01:5627,866+13
29 Oct 2026, 03:3127,853+29
27 Oct 2026, 23:0627,824+26
26 Oct 2026, 19:2027,798+16
25 Oct 2026, 22:2527,782+12
24 Oct 2026, 20:2727,770+4
23 Oct 2026, 23:0727,766+22
22 Oct 2026, 21:2027,744+19
21 Oct 2026, 17:0527,725+24
20 Oct 2026, 12:5827,701+14
19 Oct 2026, 13:5527,687+25
18 Oct 2026, 10:4627,662+10
17 Oct 2026, 07:5727,652-1
16 Oct 2026, 09:5627,653first reading

Engagement

121 posts held, back to 18 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 140 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.3%
avg views ÷ 27,951 subscribers
Avg views / post
3,440
30 posts measured
Reaction rate
0.139%
reactions ÷ views · ER floor
Posts in window
30
of 121 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. It is computed over the 20 of 30 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 November 2026
Posts held121 (18 July 2026 – 4 November 2026)
Views total103,240
Reactions total108
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 02:23 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

Photos
≈3,230
Videos
≈4
Links
≈3,280

Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

795 reactions across 103 posts, in 12 distinct kinds. The most used accounts for 74.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍59474.7%
👏516.42%
👌496.16%
⚡455.66%
😍131.64%
👎101.26%
😱91.13%
🤯70.881%
🤡60.755%
🤔50.629%
💩40.503%
🤮20.252%

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 106 of the 121 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 830 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 121 most recent posts we hold, published 18 July 2026 to 4 November 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

Telegram’s own ‘edited’ marker: 1 of 30 posts held from the last 30 days (3.33%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

4 Nov 2026, 12:16 UTC≈1,460 viewsread 6 November 2026
Photo

Cyber Kill Chain Research Library 169+ original guides, articles, and exercises by Andrey Pautov: 1. Reconnaissance 2. Weaponization 3. Delivery 4. Exploitation 5. Installation 6. Command and control 7. Actions and objectives https://1200km.com/kill-chain/ #cybersecurity

4 Nov 2026, 11:08 UTC≈1,490 viewsread 6 November 2026
Photo

Beyond Google: Alternative Search Engines for OSINT Article by OSINT Combine: Thinking about Indexes Qwant Ecosia Self-Hosted Searching with SearXNG Marginalia Search Boardreader Kagi Search Key Takeaways https://www.osintcombine.com/post/beyond-google-alternative-search-engines-for-osint

2 Nov 2026, 18:13 UTC≈2,030 viewsread 6 November 2026
Photo

Worldwide events monitoring tools list Live interactive online maps with dozens of data feeds: conflicts, disasters, transport, environment, economic and more. Part of OSINT Stuff Tool Collection Github repository: https://github.com/cipher387/osint_stuff_tool_collection#worldwide-events-monitoring

2 Nov 2026, 09:33 UTC≈2,020 viewsread 6 November 2026
Photo

Added to People and documents verification section of APIs for OSINT Github repository https://github.com/cipher387/API-s-for-OSINT

2 Nov 2026, 08:53 UTC≈1,870 viewsread 6 November 2026
Photo

Searching smarter: a guide to name-based OSINT Long detailed guide by Boudjenane Soufiane: Define your goal before searching Initial checklist Google, Bing, DuckDuckGo, and others Google dorks Tools Think about the country https://medium.com/@souf6x/searching-smarter-a-guide-to-name-based-osint-fa5f066661ea #osint #socmint

2 Nov 2026, 08:02 UTC≈1,880 viewsread 6 November 2026
Photo

National ID & Tax ID Validator API 222 ID types from 108 countries and territories 500 requests FREE get date of birth, gender, place of birth, taxpayer type and even the person’s initials https://rapidapi.com/soxoj/api/national-id-tax-id-validator Creator @soxoj_insides

1 Nov 2026, 11:09 UTC≈2,410 views3 reactionsread 6 November 2026
Photo

DuckDuckGo Dorks for Messaging Apps: Find Public Groups Article by @noimosiny: Table of Contents DuckDuckGo dorks for searching for information in messaging apps WhatsApp Discord WeChat/Tencent (QQ) Telegram LINE Snapchat KakaoTalk https://noimosiny.com/resources/blog/duckduckgo-dorks-messaging-apps #socmint

👍3

29 Oct 2026, 13:01 UTC≈3,510 views10 reactionsread 6 November 2026
Photo

Telemoon Telegram channels, trends and posts search free tool. Search by topic, keyword or country. https://telemoon.app/ #socmint #telegram

👍9😱1

28 Oct 2026, 12:06 UTC≈3,780 views5 reactionsread 6 November 2026
Photo

200+ security MCP servers Username searches, URL analysis, network, domain and threat intelligence. + a lot of other other features Github repo with links and description: https://github.com/TensorBlock/awesome-mcp-servers/blob/main/docs/security.md

👍4💩1

26 Oct 2026, 10:36 UTC≈4,080 views1 reactionsread 6 November 2026
Photo

Awesome OSINT MCP Servers SOCMINT Web scraping Company intelligence Threat intelligence Blockchain intelligence Network scanning https://start.me/p/aNMY5j/awesome-osint-mcp-servers By @soxoj_insides

👍1

25 Oct 2026, 10:36 UTC≈4,480 views8 reactionsread 6 November 2026
Photo

15 Wayback Machine Alternatives Archive Today, WebCite, National Web Archives and other tools and services. https://www.link-assistant.com/news/wayback-machine-alternatives.html #osint #socmint

👍6🤔1🤡1

24 Oct 2026, 10:35 UTC≈3,750 viewsread 6 November 2026
Photo

Article by OSINT Techniques for WhiteHatterTeam "So You Want a Career in OSINT? A Guide for Teens and Parents" https://www.thewhitehatter.ca/post/so-you-want-a-career-in-osint-a-guide-for-teens-and-parents

Showing the 12 most recent of 121 posts we hold for @cybdetective. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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

Named by 7 registered channels — 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Soxoj insides
@soxoj_insides · 5,576
#1
Osint Losena
@OsintLosena · 8,143
#2
vx-underground
@vxunderground · 52,856
#3
OSINT Industries
@OSINTIndustries · 7,858
#4
OSINT ANATOMY
@osint_anatomy · 11,086
#5
Cyber Threat Intelligence
@ctinow · 40,086
#6
Investigation & Forensic TOOLS
@forensictools · 22,593
#7
The Hacker News
@thehackernews · 165,224
#8
Cyber Guardians
@IRCyberGuardians · 20,940
#9
Offensive Xwitter
@OffensiveTwitter · 21,285
#10
ЦИОД
@CIOD_ru · 1,557
#11
Pentesting News
@PentestingNews · 27,951
#12
The Bug Bounty Hunter
@thebugbountyhunter · 52,054
#13
Officer's Channel
@officer_cia · 10,408
#14
cKure
@cKure · 7,253
#15
S3GAD3 OSINT 🫆
@s3gad3_osint · 752
#16
Cyber Defend
@Cyber_Defend · 8,017
#17
Security Harvester
@secharvester · 10,422
#18
Ciberpatrulla - Técnicas OSINT
@ciberpatrullacom · 5,947
#19
🛡 Cybersecurity & Privacy 🛡 - News
@cibsecurity · 29,124
#20
Netsec
@RNetsec · 8,039
#21
Social Engineering
@Social_engineering · 124,774
#22
Manuel Travezaño OSINT
@OsintManuelBot59 · 1,450
#23
APT
@APT_Notes · 17,289
#24
DARKFEED
@DarkfeedNews · 9,832
#25
Cybred
@cybred · 11,422
#26
VenariX
@Venari_By_BetterCyber · 5,093
#27
Russian OSINT
@Russian_OSINT · 48,467
#28
OSINT mindset
@osint_mindset · 64,860
#29
DEVIL MAY SPY
@devil_may_spy · 3,410
#30
infosec
@it_secur · 63,329
#31
OSINT Беларусь
@osintby · 8,569
#32
Netlas.io
@netlas · 2,384
#33
S.E.Reborn
@S_E_Reborn · 22,461
#34
Мыслить как безопасник
@artemov_security · 9,217
#35
🌳☀️Digital-Разведка & OSINT
@DigitaIIntelligence · 8,761
#36
Intelligence X
@intelxio · 7,085
#37
Bafoмёд OSINT
@osint_san_framework · 9,374
#38
Mr. Robot
@elliot_cybersec · 38,948
#39
Инфобез
@infobase999 · 3,636
#40
network worm notes
@nwnotes · 3,161
#41
CCN
@CCNCERT · 6,865
#42
Похек
@poxek · 17,272
#43
Pandora's box
@pandora_intelligence · 4,143
#44
PWN AI
@pwnai · 7,629
#45
T.Hunter
@tomhunter · 14,172
#46
True OSINT
@trueosint · 10,086
#47
Open Source
@open_source_friend · 52,618
#48
SecAtor
@true_secator · 42,179
#49

Read from Telegram’s recommendation API, most recently 11 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

OSINT mindset [ENG]
@osint_mindset_eng · 20,771
Telegram ranks this channel #3 of 45 here — alongside 44 others — read 25 September 2026
vx-underground
@vxunderground · 52,856
Telegram ranks this channel #5 of 41 here — alongside 40 others — read 24 August 2026
Offensive Xwitter
@OffensiveTwitter · 21,285
Telegram ranks this channel #13 of 53 here — alongside 52 others — read 25 September 2026
Investigation & Forensic TOOLS
@forensictools · 22,593
Telegram ranks this channel #16 of 74 here — alongside 73 others — read 20 September 2026
The Hacker News
@thehackernews · 165,224
Telegram ranks this channel #17 of 58 here — alongside 57 others — read 13 August 2026
🛡 Cybersecurity & Privacy 🛡 - News
@cibsecurity · 29,124
Telegram ranks this channel #18 of 58 here — alongside 57 others — read 10 September 2026
Cyber Threat Intelligence
@ctinow · 40,086
Telegram ranks this channel #20 of 42 here — alongside 41 others — read 31 August 2026
Cyber Security News
@Cyber_Security_Channel · 57,214
Telegram ranks this channel #20 of 71 here — alongside 70 others — read 23 August 2026
CyberDost
@cyberdosti4c · 21,689
Telegram ranks this channel #26 of 60 here — alongside 59 others — read 23 September 2026
Pentesting News
@PentestingNews · 27,951
Telegram ranks this channel #28 of 46 here — alongside 45 others — read 12 September 2026
OSINT mindset
@osint_mindset · 64,860
Telegram ranks this channel #30 of 83 here — alongside 82 others — read 21 August 2026
Cyber Guardians
@IRCyberGuardians · 20,940
Telegram ranks this channel #31 of 53 here — alongside 52 others — read 30 September 2026
Blue Team | SOC | DFIR | Cloud Security
@BlueTeamOps · 28,316
Telegram ranks this channel #43 of 53 here — alongside 52 others — read 11 September 2026
🕵️ Telescan вещает
@tele_scan · 101,436
Telegram ranks this channel #44 of 54 here — alongside 53 others — read 21 August 2026
Social Graph News
@social_graph_channel_ru · 24,476
Telegram ranks this channel #47 of 48 here — alongside 47 others — read 14 September 2026
Интернет-Розыск
@irozysk · 45,751
Telegram ranks this channel #47 of 79 here — alongside 78 others — read 27 August 2026
Mr. Robot
@elliot_cybersec · 38,948
Telegram ranks this channel #59 of 70 here — alongside 69 others — read 31 August 2026
🔒Seguridad Informática
@seguridadinformatic4 · 29,189
Telegram ranks this channel #67 of 76 here — alongside 75 others — read 8 September 2026
SPE INFORMACIÓN
@SPE112 · 24,546
Telegram ranks this channel #71 of 75 here — alongside 74 others — read 15 September 2026
Лаборатория хакера
@lab_hack · 25,468
Telegram ranks this channel #71 of 71 here — alongside 70 others — read 14 September 2026
Russian OSINT
@Russian_OSINT · 48,467
Telegram ranks this channel #72 of 82 here — alongside 81 others — read 26 August 2026
Mycroft Intelligence
@mycroftintel · 20,700
Telegram ranks this channel #74 of 76 here — alongside 75 others — read 25 September 2026
Social Engineering
@Social_engineering · 124,774
Telegram ranks this channel #76 of 82 here — alongside 81 others — read 13 August 2026

This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Cyber Detective” (@cybdetective), 27,951 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/cybdetective.

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.