Browse · topic
Hacking & security Telegram channels
Classified as Hacking & security — 22,736 entries on the register.
This topic is an LLM classification, not a measurement. A language model read each channel’s own title, description and recent posts and assigned the closest of 31 fixed categories. It is a judgement about what the channel is likely to be about; it can be wrong, and a channel can be revised to another topic on a later pass. The percentage on each row is the model’s own probability on this label — its confidence, not a measured accuracy.
22,736 entries carry this topic, 0.699% of the 3,252,516 the classifier has read, which is 77.4% of the 4,200,863 entries the register holds a subscriber measurement for. The figures below were measured at 3 Nov 2026, 21:09 UTC. The topic index has the other topics and the coverage in full.
Continuing — 50 more entries
Пингискок@rmrf_0Model confidence 99% · Channel · measured 30 October 2026674 subscribers
Somaali cyber@Somaali_cyberModel confidence 69% · Channel · measured 27 October 2026673 subscribers
Anonymouse Tool Channel@anonymousetoolModel confidence 53% · Channel · measured 30 October 2026673 subscribers
苹果ID批发【陆泽】@lz3589Model confidence 53% · Channel · measured 29 October 2026673 subscribers
SOLUSI GALBAY JOKI PINJOL AMANAH@tweelollyModel confidence 40% · Channel · measured 3 November 2026673 subscribers
Продажа/аренда аккаунтов@prodajabbakayntovModel confidence 37% · Channel · measured 1 November 2026673 subscribers
𝒪𝓉𝓏𝓎𝓋𝓎 𝒾 𝒶𝓀𝓉𝓊𝒶𝓁 𝐹𝓊𝓈𝒽𝑒𝓇❤️@nnmdjhModel confidence 78% · Channel · measured 3 November 2026673 subscribers
出WS协议号海外数据账号@xingyunxingWSshuju888888Model confidence 79% · Channel · measured 31 October 2026672 subscribers
@mitreattackModel confidence 96% · Channel · measured 1 November 2026671 subscribers
柒月业务专区@callmee77Model confidence 100% · Channel · measured 2 November 2026671 subscribers
梯子用户群@JiChangYongHuModel confidence 77% · Channel · measured 31 October 2026671 subscribers
Team Mafia Hackers lslamic🇵🇸🇪🇬🏴☠️@Tim_Mafia_Hackers_lslamiModel confidence 94% · Channel · measured 31 October 2026670 subscribers
SCADA & ICS Security@ScadaHackingModel confidence 77% · Channel · measured 3 November 2026670 subscribers
👩💻 𝐂𝐀𝐍𝐎 𝐇𝐚𝐜𝐤 𝐕𝐈̇𝐏👩💻@ZowesHackModel confidence 67% · Channel · measured 3 November 2026670 subscribers
Asmoda№@I1_5TModel confidence 91% · Channel · measured 30 October 2026669 subscribers
数据中转@jssqlModel confidence 95% · Channel · measured 2 November 2026669 subscribers
Vim Tips Method@vimtips_methodModel confidence 77% · Channel · measured 30 October 2026669 subscribers
💭 𝙘𝙤𝙧𝙣𝙚𝙡𝙞𝙖 𝙢𝙞𝙭𝙚𝙙 𝙫𝙚𝙧𝙞𝙛𝙞𝙚𝙧𝙨 ♡@corneliastudiosModel confidence 51% · Channel · measured 22 October 2026668 subscribers
Punishing illegal websites and profiteering projects@Shawn_TimeModel confidence 70% · Channel · measured 23 October 2026668 subscribers
For sale src+channel $2500@apktojpgexploitModel confidence 76% · Channel · measured 3 November 2026668 subscribers
🍾@callersssModel confidence 93% · Channel · measured 29 October 2026668 subscribers
Peak.Solutions@PeakFOModel confidence 92% · Channel · measured 31 October 2026668 subscribers
Trusted Service 147@facebookidsellertrustedModel confidence 88% · Channel · measured 2 November 2026668 subscribers
FOX МАРКЕТ | КАНАЛ@morgenshtern_sliv_tgModel confidence 71% · Channel · measured 30 October 2026667 subscribers
LEO Crypto Team@LeocryptoteammModel confidence 92% · Channel · measured 3 November 2026667 subscribers
VOIP LINE TERMINAL@commserverModel confidence 75% · Channel · measured 2 November 2026667 subscribers
Kenn’s Market place ✨@kennsmarkrtplaceModel confidence 81% · Channel · measured 28 October 2026667 subscribers
TEAM PAK@panelbotproofModel confidence 87% · Channel · measured 31 October 2026667 subscribers
Rasher Soft@rashersoftyModel confidence 43% · Channel · measured 28 October 2026667 subscribers
Stealths.NET@stealthsnetModel confidence 97% · Channel · measured 23 October 2026666 subscribers
СГК МГУ имени А.А.Кулешова@sgkmsukuleshovaModel confidence 93% · Channel · measured 29 October 2026666 subscribers
SCAMMER GO TO HELL@SCAMERGOTOHELLModel confidence 44% · Channel · measured 2 November 2026666 subscribers
PalachPro@palachpro_ruModel confidence 87% · Channel · measured 3 November 2026666 subscribers
KINGXUPDATE (Tools) 🔥⚡@kingxupdatestoolsModel confidence 84% · Channel · measured 28 October 2026666 subscribers
CTT CTI Trends@threatinteltrendsModel confidence 55% · Channel · measured 29 October 2026665 subscribers
怪物中国官方@nb666123088Model confidence 49% · Channel · measured 28 October 2026665 subscribers
THUNDER PUBG IOS HACK@THUNDER_iOSModel confidence 42% · Channel · measured 30 October 2026664 subscribers
蓝天代发工作室蓝天唯一客服 @ltdf001@ltdf2022Model confidence 82% · Channel · measured 28 October 2026664 subscribers
jihanStocks@SuiMainCHModel confidence 61% · Channel · measured 3 November 2026664 subscribers
13BUYERS | AVAILABLE CRYPTO TRAFFIC@Buyers_13Model confidence 64% · Channel · measured 2 November 2026663 subscribers
Neon's Repost V3@reposteddatav2Model confidence 67% · Channel · measured 31 October 2026663 subscribers
Dev7 Shop@dev7shopModel confidence 84% · Channel · measured 27 October 2026663 subscribers
MGA KUPAL@leaklangtoModel confidence 95% · Channel · measured 3 November 2026663 subscribers
1win hacks@botx_1winModel confidence 65% · Channel · measured 3 November 2026662 subscribers
GV News@googlevoicebuy_bot_newsModel confidence 96% · Channel · measured 2 November 2026661 subscribers
富商号源@jm8989Model confidence 59% · Channel · measured 29 October 2026661 subscribers
BigBrainOTP@BigBrainOPTModel confidence 84% · Channel · measured 3 November 2026661 subscribers
Niva Follower Buyer@nivafollowereModel confidence 55% · Channel · measured 3 November 2026661 subscribers
@lingyingyishou888Model confidence 87% · Channel · measured 3 November 2026661 subscribers
LIMON ✘ WORLD@NLXD_2Model confidence 80% · Channel · measured 2 November 2026661 subscribers
Ordered by the most recent subscriber count we measured, largest first — not by how confident the model is or by how well a channel fits the topic. Membership and order come from a ranking that is rebuilt hourly and this page is cached for up to an hour more, so it can trail the live register by a couple of hours; a channel deleted or reclassified in that time is dropped when the page is next rebuilt rather than listed under the wrong topic. The confidence on each row is the model’s probability on Hacking & security, and a dash means none was recorded.
Every topic with a page
Other ways in
The same register, arranged by measured subscriber size, by the language of a channel’s own posts, or by how recently a channel last published — each of those is a measurement rather than a classification. “Other / unclassifiable” is counted on the browse index but has no page: it is where the classifier puts a channel it could not place, so a list of it would group entries by what we could not tell about them.