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Channel
@itzdayofexploits
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,358subscribers
+395 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003720558371 |
|---|---|
| Type | Channel |
| Username | @itzdayofexploits |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 October 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 6 October 2026 |
| On Telegram | t.me/itzdayofexploits |
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 16 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Oct 2026, 01:57 | 2,358 | +74 |
| 29 Sept 2026, 01:38 | 2,284 | +31 |
| 19 Sept 2026, 06:58 | 2,253 | +30 |
| 14 Sept 2026, 18:15 | 2,223 | +10 |
| 11 Sept 2026, 05:36 | 2,213 | +27 |
| 6 Sept 2026, 07:18 | 2,186 | +42 |
| 1 Sept 2026, 21:33 | 2,144 | +30 |
| 30 Aug 2026, 07:45 | 2,114 | +14 |
| 27 Aug 2026, 07:13 | 2,100 | +14 |
| 24 Aug 2026, 16:33 | 2,086 | +15 |
| 21 Aug 2026, 01:35 | 2,071 | +23 |
| 18 Aug 2026, 03:22 | 2,048 | +34 |
| 14 Aug 2026, 19:25 | 2,014 | +23 |
| 11 Aug 2026, 05:51 | 1,991 | +28 |
| 7 Aug 2026, 20:45 | 1,963 | no change |
| 7 Aug 2026, 19:11 | 1,963 | first reading |
20 posts held, back to 4 August 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
33 reactions across 17 posts, in 2 distinct kinds. The most used accounts for 87.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 29 | 87.9% | |
| 🔥 | 4 | 12.1% |
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 18 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 33 reactions 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 4 August 2026 to 7 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.
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This finding started with a simple code review of an open-source SDK. The comment "Note: We lose some precision here... but it's ok." caught my eye any time a developer acknowledges a precision tradeoff in a security primitive, it's worth investigating. The key insight was connecting the precision loss to its downstream effect: nonce serialization into JSON. It's not enough that a nonce is generated randomly it mu…
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🆕Course Content
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🆕Course Content
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Network Defense - The Investigation Theory Analyst Mindset🔥🔥 ❗️Just unzip the file and run start.bat your course player launches automatically.❗️
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Hands On AI Building Your First LLM-Powered App🔥🔥 ❗️Just unzip the file and run start.bat your course player launches automatically.❗️
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🔥 Darkside – Limited Offer (Up to 85% Off) Private Channel Lifetime Access ⚠️ Final release – limited to 20 users only 📦 What’s Included 🆕 New Private Courses 🔑 Enterprise Access - VirusTotal & Shodan Enterprise - MalCom API (5K requests) - IntelX (identity.intelx.io) 📊 Data & Intelligence - Databases (daily updates) - Fresh stealer logs (daily updates) - URLScan Pro datasets (278GB+) - EV Certificates (428+) …
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🟢 Private Carding Learning Channel ☑️@brianveer1 Aug 18, 2025 by ✨➙ 𓏺 Video Practical ✨➙ 𓏺 Tools ✨➙ 𓏺 Easy To Understand ✨➙ 𓏺 Posting Day by Day More Tutorial almost all the carding related course over the internet. its collection of all the tutorial and tools from the internet. ⤷ Old to New ⤷ Basic to Advance ⤷ Noob to Professional unable to check those all tutorial (a lot of tutorial there) ▪ CARDING FULL PACK …
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https://github.com/lissy93/bug-bounties
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5/10 Vulnerability (20+) IDOR • Auth Bypass • XSS (all types) • SSRF Business Logic • Race Conditions • SQLi • OAuth/OIDC File Upload → RCE • GraphQL • LLM/Prompt Injection Mass Assignment • JWT attacks • ATO chains • SSTI #WebAppVulns #BugClass
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Showing the 12 most recent of 20 posts we hold for @itzdayofexploits. 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.
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.
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 6 October 2026 — this entry's latest reading, not the date you are reading this.
“Day of Exploits” (@itzdayofexploits), 2,358 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/itzdayofexploits.
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.