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SecuriLee🇨🇭

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Mastodon @securilee@infosec.exchange
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Make a deal with SecuriLee🇨🇭

🔒 Paid proposals held safely in escrow — released only when the work's approved.

📣Sponsored postOne disclosed post (toot) with your link and message. $12→ 🧵Sponsored threadA multi-post explainer or story — the fediverse rewards depth over one-liners. $30→ 📦Product seeding / honest reviewSend me your product — I post a disclosed, honest take. Authenticity is the only ad this audience tolerates. $16→ 📌Pinned sponsored postA disclosed post pinned to the top of my profile for the month. $36/mo→ 🔗Profile link (bio field)Your link in one of my profile metadata fields for the month — native and low-key. $18/mo→ 🔁Boost packageI boost (repost) your account's toots through the month — distribution with zero content lift. $24/mo→ 🏛️Instance / community sponsorshipSponsor the server I run — a sponsor line in the About/rules and a welcome shout. A goodwill buy that keeps our community running. $30/mo→ 🤝Mutual boost collabWe boost each other across instances — a value swap between communities. Swap or paid→ 🎬UGC HireBranded content for your own channels & ads from $50→ 🎙️Podcast guest spotInvite SecuriLee🇨🇭 onto your podcast (~45 min, remote) $25→ 📞1:1 ConsultPaid video call — advice, coaching or Q&A $75/hr→

Every booking is a normal escrow-protected deal.

Followers
99
Account age
3 yrs
🎁 Free analysisfor SecuriLee🇨🇭
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

I run two honeypots: a web tarpit (MIRE) and a bank of OpenCanary port sensors (TOCE). For 7 months they kept separate guest books. Then I joined them. 91,602 web attackers ∩ 100,836 port scanners = just 1,405 IPs in both. In that sliver: one operator wearing 159 VPN "cloaks" — unmasked by a fossilized 2019 Chrome user agent. And a bot that spells it "Mozlila". Full story: https://about.ciso.li/TO5 views I run two honeypots: a web tarpit (MIRE) and a bank of OpenCanary port sensors (TOCE). For 7 months they kept separate guest books. Then I joined them. 91,602 web attackers ∩ 100,836 port scanners = just 1,405 IPs in both. In that sliver: one operator wearing 159 VPN "cloaks" — unmasked by a fossilized 2019 Chrome user agent. And a bot that spells it "Mozlila". Full story: https://about.ciso.li/TO 🤖 I run a deception platform — fake admin panels, fake .env files, fake everything. Most bots bounce off it and move on. ClaudeBot moved in. Over nine days it sent more requests to one subdirectory than every other bot on my entire infrastructure had sent in the previous five months. 170,000 verified hits. ~12GB of fabricated breach data served. Still going. The twist: it wasn't ignoring robots.tx5 views 🤖 I run a deception platform — fake admin panels, fake .env files, fake everything. Most bots bounce off it and move on. ClaudeBot moved in. Over nine days it sent more requests to one subdirectory than every other bot on my entire infrastructure had sent in the previous five months. 170,000 verified hits. ~12GB of fabricated breach data served. Still going. The twist: it wasn't ignoring robots.tx I've decided to replace Excel with Claude Code. This week, I ran Claude Code CLI on my MIRE host to assess the live Caddy and MIRE logs. 2.5Gb of data...! This was instead of copying those logs to my machine and churn them into a plausible data source then pivot from it in Excel, I asked Claude the following: "Assess these logs and give me three notable takeaways from the data." Read more: http3 views I've decided to replace Excel with Claude Code. This week, I ran Claude Code CLI on my MIRE host to assess the live Caddy and MIRE logs. 2.5Gb of data...! This was instead of copying those logs to my machine and churn them into a plausible data source then pivot from it in Excel, I asked Claude the following: "Assess these logs and give me three notable takeaways from the data." Read more: http 903 days. 176,043,025 connections. First knock came 10 seconds after I flipped the switch. I've been letting canaries sit on the open internet just to see what shows up, and the honest answer is: the same handful of idiots, over and over, at industrial scale. admin/admin tried 627,939 times. One South Korean IP alone hit me 10.6 million times — at some point it stopped being a scanner and started 3 views 903 days. 176,043,025 connections. First knock came 10 seconds after I flipped the switch. I've been letting canaries sit on the open internet just to see what shows up, and the honest answer is: the same handful of idiots, over and over, at industrial scale. admin/admin tried 627,939 times. One South Korean IP alone hit me 10.6 million times — at some point it stopped being a scanner and started

📊 Post engagement

Recent posts · likes + reposts
Jun 19latest
3
Avg engagement / post
1–3
Typical post (engagement)
3%
Engagement vs followers
73/100
Consistent reach
Nov 2022
On Mastodon since
Half of recent posts land between 1 and 3 likes + reposts (median 3) — a dependable floor a sponsored post can count on.

🔥 Top post: I run two honeypots: a web tarpit (MIRE) and a bank of OpenCanar · 5 likes + reposts

📊 Activity & format

Posting cadence
1.9 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 1 text · 11 image · 0 video.
Follower / following
1.2×
Follows 82 back. A more reciprocal / networked account.

Recent posts

View on Mastodon ↗
🔥 Top post I run two honeypots: a web tarpit (MIRE) and a bank of OpenCanary port sensors (TOCE). For 7 months they kept separate guest books. Then I joined them. 91,602 web attackers ∩ 100,836 port scanners = just 1,405 IPs in both. In that sliver: one operator wearing 159 VPN "cloaks" — … ★ 5
📡 MIRE/C³ August release We widened our bot blocklist. It caught 0.7% more traffic. We stopped identifying and just counted requests per IP. That caught 28.7%. 🕵 Biggest single "user-agent" on the honeypot: none at all 🔗 https://mire.cc/ho… ★ 1 I've done a mega-update to the #MIRE statistics and stories page with Genesis, Evolution, Q1, Q2, and What Claude Found stories. 👍 https://about.ciso.li/MIRE/index.html ★ 1 I've decided to replace Excel with Claude Code. This week, I ran Claude Code CLI on my MIRE host to assess the live Caddy and MIRE logs. 2.5Gb of data...! This was instead of copying those logs to my machine and churn them into a plausi… ★ 3 MIRE/C³ July release: I finally read my own 404 logs to drive what to build next. 421'000 requests fell through to a generic "not found" — about a third of all traffic. That gap became the backlog. I also rebuilt the tarpit to be massivel… I blamed ClaudeBot. The logs had other ideas. Follow-up to the MIRE/C³ ClaudeBit story: SemrushBot was in the trap first and ate more fake SQL (117 GB vs 98 GB), my query double-counted every request, and the "250/day ClaudeBot wall" was A… ★ 2 The reporting also now has a history of The OpenCanary Experience 👍 The reporting for The OpenCanary Experience is now embedded in Claude Code; take a private Github repository, hook that into Claude Code, pull the raw data from the honeypots and Splunk into Claude's realm and ask for the storyline from t… 903 days. 176,043,025 connections. First knock came 10 seconds after I flipped the switch. I've been letting canaries sit on the open internet just to see what shows up, and the honest answer is: the same handful of idiots, over and over, … ★ 3 🐤 Stats from The OpenCanary Experience from the last 90 days. Here's what came knocking. 13,136,119 connections. Four campaigns. One very unexpected #1 country. Some highlights from the data: 🔴 MSSQL was the most-targeted protocol — 5.18 m… I built my own RSS reader. FastAPI, SQLite, Docker, Caddy — deployed via a single bootstrap script, served exclusively over Tailscale. No open ports, no public exposure, proper TLS. https://ciso.li/building-lees-feeds/ #infosec #selfhoste… ★ 1 🤖 I run a deception platform — fake admin panels, fake .env files, fake everything. Most bots bounce off it and move on. ClaudeBot moved in. Over nine days it sent more requests to one subdirectory than every other bot on my entire infrast… ★ 5

🐘 Community & instance

Home server
infosec.exchange
A cybersecurity & infosec server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 3 views per post.
📤Posts about 1.9× per week.

🕵️ Fake follower check

Estimated
75/100
Good Credibility score
92%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 92% real, active audience · Low fake-follower risk.
  • Engagement (~3.0% of followers engage each post) is around typical for Mastodon.
  • Verified account.
  • Established account (3+ years old).

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

CISO & security advisor turning risk into business intelligence.
Creator of MIRE/C³ — a Multi-layer Intrusion Response Engine that serves treacle to attackers: decoys, false secrets, and dead ends that burn their time and attention (C³: cost & confusion).
Builder of The OpenCanary Experience.

📸 Gallery

📡 MIRE/C³ August release We widened our bot blocklist. It caught 0.7% more traffic. We stopped identifying and just counted requests per IP. That caught 28.7%. 🕵 Biggest single "user-agent" on the honeypot: none at all 🔗 https://mire.cc/honeypot-user-agent-analysis/ #MIREC3 #CyberSecurity #FightingBack I run two honeypots: a web tarpit (MIRE) and a bank of OpenCanary port sensors (TOCE). For 7 months they kept separate guest books. Then I joined them. 91,602 web attackers ∩ 100,836 port scanners = just 1,405 IPs in both. In that sliver: one operator wearing 159 VPN "cloaks" — unmasked by a fossilized 2019 Chrome user agent. And a bot that spells it "Mozlila". Full story: https://about.ciso.li/TO I've done a mega-update to the #MIRE statistics and stories page with Genesis, Evolution, Q1, Q2, and What Claude Found stories. 👍 https://about.ciso.li/MIRE/index.html I've decided to replace Excel with Claude Code. This week, I ran Claude Code CLI on my MIRE host to assess the live Caddy and MIRE logs. 2.5Gb of data...! This was instead of copying those logs to my machine and churn them into a plausible data source then pivot from it in Excel, I asked Claude the following: "Assess these logs and give me three notable takeaways from the data." Read more: http MIRE/C³ July release: I finally read my own 404 logs to drive what to build next. 421'000 requests fell through to a generic "not found" — about a third of all traffic. That gap became the backlog. I also rebuilt the tarpit to be massively more efficient. And AI/scraper traffic now hits a toll booth before any decoy: a slow response asking for 0.00001 BTC as payment. Still unpaid. Writeup: https: I blamed ClaudeBot. The logs had other ideas. Follow-up to the MIRE/C³ ClaudeBit story: SemrushBot was in the trap first and ate more fake SQL (117 GB vs 98 GB), my query double-counted every request, and the "250/day ClaudeBot wall" was AhrefsBot all along. Meanwhile the MIRE became a true AI crawler tarpit: 8.5 GB/day of bot bandwidth → 42 MB, ~30 s holds. A 27-hour, 561-IP crawl flood cost me 3 The reporting for The OpenCanary Experience is now embedded in Claude Code; take a private Github repository, hook that into Claude Code, pull the raw data from the honeypots and Splunk into Claude's realm and ask for the storyline from the data. Afterwards, commit and pull to the webserver. We've managed to process over 175 million log lines in Splunk and countless Samba events, files and more. 903 days. 176,043,025 connections. First knock came 10 seconds after I flipped the switch. I've been letting canaries sit on the open internet just to see what shows up, and the honest answer is: the same handful of idiots, over and over, at industrial scale. admin/admin tried 627,939 times. One South Korean IP alone hit me 10.6 million times — at some point it stopped being a scanner and started

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

Wervice 🦀 Wervice 🦀 18% Mandaris Mandaris 17% Phil Davis Phil Davis 17% PaulBivand PaulBivand 15% vavakado :flaggenderfluid: vavakado :flaggenderfluid: 13% Mark Paul Mark Paul 10%

More like this

Find more →
Mastodon ＋
Mandaris
Mandaris ✓
@mandaris@social.lol
99 Followers
Mastodon ＋
Wervice 🦀
Wervice 🦀 ✓
@wervice@fosstodon.org
99 Followers
Mastodon ＋
vavakado :flaggenderfluid:
vavakado :flaggenderfluid: ✓
@vavakado@mas.to
99 Followers
Mastodon ＋
Mark Paul
Mark Paul ✓
@markpaul@newsie.social
99 Followers
Mastodon ＋
Phil Davis
Phil Davis
@absentsmoggy@mastodonapp.uk
99 Followers
Mastodon ＋
PaulBivand
PaulBivand
@paulbivand@mastodonapp.uk
99 Followers

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How many followers does SecuriLee🇨🇭 have?
SecuriLee🇨🇭 has 99 followers on Mastodon.

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