Telegram RegisterThe public register of Telegram
Telegram profile photo for Forensic tools

Channel

Forensic tools

@Forensicc_tools

Has discussion group

On this record: Topic · Growth · Engagement · Cite this entry

1,698subscribers

+104 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002568438424
TypeChannel
Username@Forensicc_tools
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded25 September 2026
Last confirmed live1 November 2026
Measurements held22
Confirmed unchanged1 time, most recently 1 November 2026
On Telegramt.me/Forensicc_tools

Topic

Hacking & security — 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 25 September 2026 and assigned it the closest of 31 fixed categories, at 41% 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

1,5941,6981,6467 August 2026 — 1,594 subscribers13 August 2026 — 1,598 subscribers16 August 2026 — 1,601 subscribers19 August 2026 — 1,604 subscribers23 August 2026 — 1,609 subscribers26 August 2026 — 1,608 subscribers29 August 2026 — 1,614 subscribers1 September 2026 — 1,622 subscribers5 September 2026 — 1,626 subscribers10 September 2026 — 1,628 subscribers14 September 2026 — 1,639 subscribers18 September 2026 — 1,654 subscribers25 September 2026 — 1,654 subscribers28 September 2026 — 1,669 subscribers6 October 2026 — 1,673 subscribers13 October 2026 — 1,679 subscribers16 October 2026 — 1,685 subscribers19 October 2026 — 1,690 subscribers22 October 2026 — 1,689 subscribers26 October 2026 — 1,694 subscribers29 October 2026 — 1,693 subscribers1 November 2026 — 1,698 subscribers7 August 20261 November 2026
22 measurements spanning 85 days, net +104. 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 1,578–1,714 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
1 Nov 2026, 00:381,698+5
29 Oct 2026, 08:001,693-1
26 Oct 2026, 00:061,694+5
22 Oct 2026, 18:501,689-1
19 Oct 2026, 10:191,690+5
16 Oct 2026, 05:271,685+6
13 Oct 2026, 00:591,679+6
6 Oct 2026, 05:371,673+4
28 Sept 2026, 17:381,669+15
25 Sept 2026, 03:221,654no change
18 Sept 2026, 15:391,654+15
14 Sept 2026, 03:361,639+11
10 Sept 2026, 11:401,628+2
5 Sept 2026, 02:381,626+4
1 Sept 2026, 02:271,622+8
29 Aug 2026, 05:111,614+6
26 Aug 2026, 02:431,608-1
23 Aug 2026, 00:471,609+5
19 Aug 2026, 20:521,604+3
16 Aug 2026, 20:031,601first reading

Engagement

Posts not read yet. This entry is on the register from its profile alone; the post reader has not reached it. Engagement figures appear here once posts have actually been measured — we do not publish a rate before we have the readings behind 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 1 November 2026 — this entry's latest reading, not the date you are reading this.

“Forensic tools” (@Forensicc_tools), 1,698 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/Forensicc_tools.

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.