Telegram RegisterThe public register of Telegram

Channel

Daily Security

@ethers_security

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

4,019subscribers

-11 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001699414568
TypeChannel
Username@ethers_security
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/ethers_security

Growth

4,0194,0304,024.56 August 2026 — 4,030 subscribers7 August 2026 — 4,028 subscribers10 August 2026 — 4,022 subscribers12 August 2026 — 4,019 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net -11. 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 4,017–4,032 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 20:174,019-3
10 Aug 2026, 02:124,022-6
7 Aug 2026, 03:574,028-2
6 Aug 2026, 17:174,030first reading

Engagement

20 posts held, back to 31 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
35.3%
avg views ÷ 4,019 subscribers
Avg views / post
1,420
1 post measured
Reaction rate
0.141%
reactions ÷ views · ER floor
Posts in window
1
of 20 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 August 2026
Posts held20 (31 December 20251 August 2026)
Views total1,420
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:42 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

40 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 70.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2870.0%
👍615.0%
🔥37.50%
👏25.00%
🥰12.50%

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 14 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 40reactions 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 31 December 2025 to 1 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.

Recent posts

1 Aug 2026, 15:17 UTC≈1,420 views2 reactionsread 8 August 2026

Great resource to study AI and different types of AI vulnerabilities https://riskatlas.principle.sg/

2

9 Jun 2026, 17:25 UTC930 viewsread 8 August 2026
Photo

Claude Fable is out. As you can see, the new model claims to have been significantly improved. Looking forward to giving it a shot https://www.anthropic.com/news/claude-fable-5-mythos-5

23 Apr 2026, 14:20 UTC≈1,280 views1 reactionsread 8 August 2026
Forwarded from @infinityhedge

PASSWORD MANAGER 'BITWARDEN' CLI WAS COMPROMISED IN A SUPPLY CHAIN ATTACK ⚠️ BITWARDEN CLI 2026.4.0 WAS COMPROMISED AS PART OF THE ONGOING CHECKMARX SUPPLY CHAIN CAMPAIGN AFTER ATTACKERS ABUSED A GITHUB ACTION IN BITWARDEN’S CI/CD PIPELINE: SOCKET - INFINITYHEDGE SOCKET: IF YOU USE BITWARDEN CLI, WE RECOMMEND REVIEWING YOUR CI LOGS AND ROTATING ANY SECRETS THAT MAY HAVE BEEN EXPOSED TO THE COMPROMISED WORKFLOW SEC

1

15 Apr 2026, 20:18 UTC≈1,300 views1 reactionsread 8 August 2026

Drone Security Cheat Sheet — and the attack surface is bigger than you’d expect. Drones aren’t just flying cameras anymore. They’re networked IoT devices with GPS modules, companion computers, Wi-Fi links, and open ports. That means: GPS spoofing, deauth attacks, firmware tampering, and sensor manipulation are all real threats. The key vulnerable endpoints: • Communication links — unencrypted MAVLink or Wi-Fi traffi

🥰1

6 Apr 2026, 11:06 UTC≈1,090 views1 reactionsread 8 August 2026

Interesting story behind Drift Protocol Hack -> On April 1, 2026, the Drift protocol (a DeFi platform on Solana) was exploited in a sophisticated attack that had been planned over six months. -> Starting in Fall 2025, attackers posed as a legitimate quantitative trading firm, meeting Drift contributors in person at multiple crypto conferences across several countries. They built trust through months of genuine-look

1

23 Mar 2026, 22:24 UTC861 viewsread 8 August 2026
Forwarded from @AISecHubPhoto

Meet the Cybersecurity Baron: a specialized LLM fine-tuned for offensive security. This isn't your average chatbot. It's a quantized, 6-bit GGUF model built on Llama 3.1 Instruct, designed to think like a penetration tester. https://huggingface.co/AlicanKiraz0/Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF

18 Mar 2026, 07:40 UTC828 views4 reactionsread 8 August 2026
Photo

NVIDIA Unveils NemoClaw: The Missing Security Layer for AI Agents OpenClaw exploded out of nowhere in January. An Austrian developer named Peter Steinberger built the first version in about an hour, and within weeks it became one of the fastest-growing open source projects in GitHub history- outpacing Linux's 30-year download record in just three weeks. The PROBLEM with autonomous agents OpenClaw's strength - broa

3👏1

8 Mar 2026, 08:04 UTC982 views8 reactionsread 8 August 2026
Photo

The AI Skills Explorer is a searchable database of AI skill files- structured prompts in YAML or markdown format-designed specifically for smart contract security auditing. These skills come from top security teams and researchers in the space, giving you battle-tested configurations you can drop directly into your workflow. https://smartcontractshacking.com/tools/ai-skills-explorer Follow for more @ethers_security

👍61🔥1

4 Mar 2026, 11:20 UTC803 views4 reactionsread 8 August 2026

I would call it a good beginning if you're considering to build a sec tool with AI superpowers Why it is worth a read 🌟 The article presents Amy, a semi-autonomously evolving, freely available open-source specialist smart contract auditor focused on Vault/ERC4626 protocols. While Amy can work with any AI platform, she self-evolved using Claude, which showed the best performance in their testing. What Amy can actual

2🔥2

26 Feb 2026, 11:03 UTC734 views2 reactionsread 8 August 2026

OpenSourceMalware is a community-driven threat intel platform for tracking malicious packages across npm, PyPI, GitHub & more. Browse verified threats, share findings, and protect your dependencies🔒🤝 👉 https://opensourcemalware.com

2

25 Feb 2026, 18:40 UTC613 views3 reactionsread 8 August 2026

https://www.kali.org/blog/kali-llm-claude-desktop/

3

Showing the 12 most recent of 20 posts we hold for @ethers_security. 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.

Citation-graph rank

Citation-graph rank — 97,815 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Mentions

Named by 1 registered channel — 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.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Daily Security” (@ethers_security), 4,019 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ethers_security.

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.