Channel
@arpsyndicate
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
623subscribers
+54 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001907052251 |
|---|---|
| Type | Channel |
| Username | @arpsyndicate |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 October 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 8 October 2026 |
| On Telegram | t.me/arpsyndicate |
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 20 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 |
|---|---|---|
| 8 Oct 2026, 02:36 | 623 | +10 |
| 28 Sept 2026, 13:00 | 613 | +13 |
| 12 Sept 2026, 14:20 | 600 | +1 |
| 4 Sept 2026, 21:22 | 599 | +5 |
| 28 Aug 2026, 17:57 | 594 | +3 |
| 22 Aug 2026, 17:17 | 591 | +10 |
| 15 Aug 2026, 18:17 | 581 | +12 |
| 8 Aug 2026, 03:32 | 569 | no change |
| 7 Aug 2026, 15:45 | 569 | first reading |
15 posts held, back to 2 June 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 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 15 posts for this entry, the most recent from 27 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
8 reactions across 5 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 100.0% |
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 6 of the 15 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 2 June 2025 to 27 July 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.
If you work in recon, attack surface management, or brand protection, Subdomain Center just made your job easier. It indexes 10B+ subdomains across 1B+ domains (plus 100k+ Tor domains and 500M+ brands), searchable for free, right from your browser. Three engines, one search box: 1. Octopus: cluster everything tied to a brand 2. Cuttlefish: enumerate subdomains of a target domain 3. Ammonites: hunt a keyword acro…
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𝗧𝗵𝗲 𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘁𝗼 𝗻𝗮𝘃𝗶𝗴𝗮𝘁𝗲 𝘂𝗻𝗰𝗲𝗿𝘁𝗮𝗶𝗻𝘁𝘆 𝗶𝘀 𝗶𝗻 𝗼𝘂𝗿 𝗴𝗲𝗻𝗲𝘀. 𝗔𝗻𝗱 𝘀𝗼 𝗶𝘀 𝘁𝗵𝗲 𝘄𝗶𝗹𝗹 𝘁𝗼 𝘀𝗲𝗰𝘂𝗿𝗲 𝘄𝗵𝗮𝘁 𝘄𝗲'𝘃𝗲 𝗯𝘂𝗶𝗹𝘁. Industry. Academia. Defence. One resilient unit. This week's National Conference on Telecom Security in the Era of AI & Quantum Computing, convened by Cyber Security Association of India, brought together some of India's most consequential voices in national security including Mr. Narendra Nath Gangavarapu (Joint Secr…
ARPSyndicate is proud to support CSAI’s Cyber Security Centre for Research & Innovations (C3IR) in this initiative. As part of our involvement with C3IR, we are actively hiring interns for this Offensive Security Research Internship. If you are passionate about CVE analysis, vulnerability research, reverse engineering, embedded security, or low-level software analysis, applications are welcome. All details are in t…
DomainTools Investigation reveals that tools like ZoomEye and the Critical Infrastructure Target Library give China a global reconnaissance system that catalogs millions of foreign IPs, domains, and organizations mapped by sector, geography, and strategic value. Massive datasets containing real names, ID numbers, mobile phones, emails, and credentials allow Knownsec and its government clients to correlate infrastruct…
Today, we introduce the VEDAS-driven autonomous generation of Suricata rules for CVEs on GitHub. This repository is intended to function as an open, collaborative validation environment for Suricata rules autonomously produced by ARPSyndicate’s Vulnerability & Exploit Data Aggregation System (VEDAS). While VEDAS is often associated with offensive research, its capabilities extend strongly into defensive security as …
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Vulnerability prioritization frameworks such as KEV and EPSS are fundamentally limited because they rely on mass exploitation telemetry and sensor-network–driven signals that act as lagging indicators and miss emerging, high-impact threats. These systems overemphasize low-effort, automated exploitation activity, lack full-spectrum exploit intelligence, and are unable to reliably interpret exploit artifacts or autonom…
Eugenio Benincasa writes that in China’s case, many government disclosures by the U.S. and other Western countries have pointed to APT groups and individual operators allegedly linked to provincial bureaus of the Ministry of State Security (MSS), China’s premier civilian intelligence agency. These bureaus function as the operational nerve centres of China’s cyber apparatus. The MSS is not a monolith: it is highly pro…
Anthropic reported that in mid-September 2025 a Chinese state-sponsored group ran a large espionage campaign using AI agents to carry out most of the work. About 30 organizations in tech, finance, manufacturing and government were targeted. The attackers used their AI system with Claude Code to handle reconnaissance, vulnerability finding, credential harvesting, back-door setup, data theft and record keeping, while h…
On 9th August 2018, the concept of Exploit/Exploitation Prediction was first introduced at BlackHat, followed by the publication of its first paper on 30th August 2019. EPSS initially prioritized mass exploitation indicators over concrete exploit evidence. While recent updates have added exploit data, these rely on only a handful of sources, resulting in narrow coverage, a lot of false negatives, and delayed recognit…
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Another bleeding-edge version of VEDAS is out now 🎉🥳 Many network-exploitable vulnerabilities, such as CVE-2025-47188, remains delayed, poorly documented and lack meaningful enrichment. Despite being actively exploited since May 2025, this vulnerability is still not enriched by NVD, EPSS or proprietary vulnerability databases. VEDAS can be used for Mining Exploit Intelligence linked to vulnerability identifiers lik…
If you can read this, you're in the top 1% of the world.
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Showing the 12 most recent of 15 posts we hold for @arpsyndicate. 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.
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 8 October 2026 — this entry's latest reading, not the date you are reading this.
“ARPSyndicate - Creators of the world's largest Subdomain & Exploit Database” (@arpsyndicate), 623 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/arpsyndicate.
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.