🏦 OpenZeppelin Launches Security Practice for Tokenized Funds OpenZeppelin is offering end-to-end security for asset managers tokenizing funds onchain. Its contracts already underpin all 10 of the top 10 tokenized money market funds. 🔗 Details
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Channel
@defendor_eng
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,406subscribers
+10 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002579478263 |
|---|---|
| Type | Channel |
| Username | @defendor_eng |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/defendor_eng |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 18:15 | 2,406 | +8 |
| 10 Aug 2026, 03:20 | 2,398 | +1 |
| 7 Aug 2026, 00:33 | 2,397 | +1 |
| 6 Aug 2026, 17:18 | 2,396 | first reading |
24 posts held, back to 1 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 2 pagesof Telegram’s post history, 20 posts per page.
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. It is computed over the 18 of 24 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 24 (1 August 2026 – 7 August 2026) |
| Views total | 7,705 |
| Reactions total | 50 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:36 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.
50 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 36.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 18 | 36.0% | |
| 🔥 | 12 | 24.0% | |
| 🤣 | 3 | 6.00% | |
| 🤯 | 3 | 6.00% | |
| 👍 | 2 | 4.00% | |
| 😁 | 2 | 4.00% | |
| 🤡 | 2 | 4.00% | |
| 🤩 | 2 | 4.00% | |
| 🥱 | 2 | 4.00% | |
| ⚡ | 1 | 2.00% | |
| 🐳 | 1 | 2.00% | |
| 👻 | 1 | 2.00% | |
| 🥴 | 1 | 2.00% |
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 24 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 50reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 1 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.
🏦 OpenZeppelin Launches Security Practice for Tokenized Funds OpenZeppelin is offering end-to-end security for asset managers tokenizing funds onchain. Its contracts already underpin all 10 of the top 10 tokenized money market funds. 🔗 Details
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🔬 Certora Opening AutoProver Access to Security Researchers Certora is offering limited seats for security researchers to try AutoProver, its AI-powered formal verification system that generates specifications and helps prove code correctness, with a built-in AI Auditor for bug hunting. Researchers interested in early access can apply via the linked form. 🔗 Details
⚠️ Unistreet Loses $17.7K via Arbitrary Call Injection LaunchpadFactoryAuto forwarded attacker-supplied calldata into Uniswap V4 with no validation, letting the attacker grant itself approval over all LP position NFTs held by the factory. The attacker then burned 9 launch positions, sweeping ~$17.74K USDC and underlying tokens from the pool. 🔗 Details
📉 2026 Is Tracking 2022's Bear Market Security Collapse Through July, 2026 has seen 377 incidents vs 148 in 2022, a 2.5x jump in frequency, though dollar losses remain lower due to fewer catastrophic single events, a pattern researcher Peter Kacherginsky warned about in February. The concern: bear market pressure causes security budgets to shrink, audits to get cut, and experienced researchers to leave, while attac…
🤖 CertiK Launches $1B AI Auditor Challenge CertiK is challenging researchers to point its AI Auditor at pre-exploit contract code from real historical hacks, with a community target of $1B in historical losses claimed across verified catches. The challenge runs August 5-19, with $5,000 in prizes across top researchers and best public write-ups. 🔗 Details
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🔗 Five Years Since the $611M Poly Network Hack In 2021, Poly Network lost $611M across Ethereum, BSC, and Polygon after an attacker exploited cross-chain relay contracts to forge privileged calls and replace the keeper public keys, no private key compromise required. In the strangest twist in DeFi history, the attacker returned everything. Five years later, bridges are still the biggest attack surface, with VerusCo…
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🗓️ Weekly Web3 Security Roundup: $88M Lost Two notable incidents combined for roughly $88M in losses across the Web3 ecosystem this week, July 27 - August 2. A full vulnerability breakdown and in-depth analysis of each case is available in the linked report. 🔗 Details
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🤖 CertiK Finds Critical Vulnerabilities in Google's EdgeTPU AI Chip CertiK discovered two vulnerabilities in Google's EdgeTPU, CVE-2026-0150 (High) and CVE-2026-0153 (Critical), which could let attackers bypass security isolation and access data on the chip responsible for on-device AI inference. The findings underscore a broader shift: as AI agents connect to databases, payments, and identity systems, securing the…
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🎮 Free Web3 Security CTF Platform Now Live Smart Contract Hacking has launched a gamified CTF platform where players read contracts, write exploits, earn EXP, and climb a leaderboard, with the first player to clear all launch challenges winning a free SCH seat. 🔗 Details
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🌪 Coldcard Attacker Begins Laundering Funds via Tornado Cash Two 200 ETH transactions linked to the ongoing Coldcard exploit have been detected moving to Tornado Cash, with funds first bridged from BTC to Ethereum via THORChain. 🔗 Details
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🔑 Nereus Finance NFT Marketplace Drained for $23.7K via Malicious Proxy Upgrade A compromised proxy admin key was used to swap the TransparentUpgradeableProxy implementation to a freshly deployed drainer contract, which swept the entire ETH balance to the attacker's hardcoded address. 12.74 ETH was drained in a single transaction on Ethereum. 🔗 Details
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☠️ Shai-Hulud Supply Chain Worm Spreads to 434+ npm Packages via keyv Compromise An attacker compromised the GitHub account behind keyv (604M monthly downloads) and injected a credential-stealing worm that harvests npm tokens, GitHub tokens, AWS keys, Kubernetes secrets, and more before exfiltrating them to public GitHub repos encrypted with an attacker-held RSA key. The worm self-replicates by republishing infecte…
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Showing the 12 most recent of 24 posts we hold for @defendor_eng. 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 — 413,352 of 1,169,250entries 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.
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.
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.
“Defendor — DeFi Security” (@defendor_eng), 2,406 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/defendor_eng.
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.