Channel
@bugbounty_diary
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
7,119subscribers
+231 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001394394025 |
|---|---|
| Type | Channel |
| Username | @bugbounty_diary |
| Created | Between 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/bugbounty_diary |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 15:36 | 7,119 | +26 |
| 3 Sept 2026, 00:53 | 7,093 | +51 |
| 30 Aug 2026, 22:33 | 7,042 | +19 |
| 27 Aug 2026, 18:46 | 7,023 | +18 |
| 24 Aug 2026, 23:22 | 7,005 | +20 |
| 21 Aug 2026, 08:47 | 6,985 | +31 |
| 18 Aug 2026, 18:28 | 6,954 | +8 |
| 15 Aug 2026, 16:47 | 6,946 | +62 |
| 11 Aug 2026, 21:43 | 6,884 | -3 |
| 9 Aug 2026, 05:51 | 6,887 | -1 |
| 8 Aug 2026, 10:04 | 6,888 | first reading |
20 posts held, back to 22 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pages 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 9 August 2026. An engagement rate over an empty window would be a number about nothing.
444 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 47.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 210 | 47.3% | |
| 🔥 | 133 | 30.0% | |
| ❤🔥 | 69 | 15.5% | |
| 👍 | 31 | 6.98% | |
| 🤝 | 1 | 0.225% |
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 444 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 22 December 2025 to 9 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bugbounty_diary. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 22 December 2025 to 9 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
✎ Using LLMs to Unminify JavaScript Most JavaScript minification is lossless. Transformations like true → !0 can be reversed with traditional AST-based tools such as Babel. Variable renaming is different: recovering meaningful names requires understanding the code's intent. This is where LLMs can help. Instead of letting an LLM rewrite the source directly, which can break functionality, we can use it only to sugge…
❤12🔥4
✎ Network Basics - Module 5 Chapter 5 - part1 is live now - hope you find it helpful! -- Configuring Routing and Advance Switching — part 1-- • Blog: Network Basics - Module 5 #bugbounty #network © T.me/BugBounty_Diary
🔥8❤3
Signed Amir
-------‐----------------------------- ✎ cURL Cheatsheet — The Swiss Knife of HTTP Requests -------‐----------------------------- ● Basic Requests 1. GET request curl https://example.com 2. Save response to a file curl -o output.html https://example.com 3. Follow redirects curl -L https://example.com -------‐----------------------------- ● HTTP Methods 1. POST request curl -X POST https://example.com/login 2. …
🔥16👍7❤6
Signed Amir
✎ FlareProx - Simple IP Rotation & URL Redirection via Cloudflare Workers FlareProx automatically deploys HTTP proxy endpoints on Cloudflare Workers for easy redirection of all traffic to any URL you specify. It supports all HTTP methods (GET, POST, PUT, DELETE, etc.) and provides IP masking through Cloudflare's global network. (100k requests per day are free.) ● How It Works? FlareProx deploys Cloudflare Workers …
❤🔥14❤2
✎ Hacking Google with A.I. for $500,000 After earning $500,000 in Google bug bounties, BruteCat shared the AI-powered prompts, workflows, and techniques used to analyze Google's massive attack surface, which offers valuable insights for security researchers looking to scale their reconnaissance and vulnerability discovery. I highly recommend you read this writeup because it gives you a good methodology for hacking …
❤🔥19👍5❤4
✎ Network Basics - Module 4 Chapter 4 has finally arrived - hope you find it helpful! --Configuring Network Addressing-- • Blog: Network Basics - Module 4 #bugbounty #network © T.me/BugBounty_Diary
❤15🔥4
Signed Amir
✎ RoboFinder v0.2.2 is out RoboFinder is now more powerful, stable, and easier to fit into your recon workflow. ● Installation pip install robofinder ● What's new? • Supports both single and multiple URLs robofinder -u https://example.com #or robofinder -u urls.txt • Pipe results directly into other tools: robofinder -u https://example.com -c | httpx • JSON output for automation: robofinder -u https://example.com…
❤🔥22👍8🔥3❤2
Signed MᴏʜᴀᴍᴍᴀᴅRᴇᴢᴀ
-----‐------------------------------- ✎ Discovering Domains via NS Correlation -----‐------------------------------- ● What is a Nameserver? A nameserver (NS) is a specialised server within the Domain Name System (DNS) which translates human-readable domain names into IP addresses. Essentially, nameservers tell the internet where to find your web server. In this post I will describe a simple technique which can be…
🔥11❤2
Signed 🕷𝗦𝗽𝗶𝘅𝟬𝗿
-----‐------------------------------- ✎ Linux Security → SUID & Privilege Boundaries -----‐------------------------------- In Linux, security heavily depends on permission architecture. One critical mechanism is SUID (Set User ID). ● What is SUID? When SUID is applied to an executable, it runs with the file owner’s permissions instead of the executing user’s. If the file is owned by root, it grants elevated privi…
🔥10❤2
Signed Amir
✎ Network Basics - Module 3 Module 3 is now live on my Hashnode series. --Interfaces & Switches-- As always stripped down to the essentials with no fluff. • Blog: Network Basics - Module 3 #bugbounty #network © T.me/BugBounty_Diary
❤8
Signed Amir
✎ ASN → IP Recon Workflow (BGPView alternative) I used to rely on bgpview.io for extracting IP ranges from ASNs it was free and useful for recon workflows. But after it went down, I looked for an alternative and found this awesome repo: • as-ip-blocks: Github It lets you pull IPv4/IPv6 prefixes per ASN directly from raw GitHub data, which is ideal for automation. </> Bash Function for ASN → IP Enumeration You ca…
❤24
Signed 🕷𝗦𝗽𝗶𝘅𝟬𝗿
✎ Network Basics - Module 2 Module 2 is now live on my Hashnode series. --Ethernet-- Stripped down to the essentials, focusing only on what actually matters for understanding networks from a cybersecurity perspective. • Blog: Network Basics - Module 2 #bugbounty #network © T.me/BugBounty_Diary
🔥13❤1
Signed Amir
Showing the 12 most recent of 20 posts we hold for @bugbounty_diary. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Named by 3 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“Bug Bounty Diary” (@bugbounty_diary), 7,119 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/bugbounty_diary.
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.