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Kali Linux ✓

@kalilinux · joined 01 Jun 2009

Kali Linux, The Most Advanced Penetration Testing Distribution. Ever. @kalilinux@infosec.exchange

400 350Followers
25Following
2 511Posts total
1.2MViews on collected posts

Postingan terbaru

Kali Linux 2026.2 Release (GNOME 50, KDE 6.6, Helper Scripts, APT Formats & VM Boot Tweaking): It’s the final week of Q2, and Kali Linux 2026.2 is here - right on schedule ;) We have been heads down since our last release, and we are ready to share what… https://t.co/kv4knEBCQs h
50.9K views · 755 likes · 153 reposts · 19 replies Open on X →
Kali Linux 2026.1 Release (2026 Theme & BackTrack Mode): New year, new release - Kali 2026.1 is here! There is everything from a fresh coat of paint to a nod to our roots, with normal ongoing improvements. Building on from December’s 2025.4, the summary… https://t.co/Xz0mWSTqCD h
86K views · 1.7K likes · 321 reposts · 42 replies Open on X →
@kalilinux Running LLMs locally for Kali workflows is a huge step for privacy and offline pentesting environments. Curious to see how well the model handle complex recon and exploitation chains compared to manual workflows. 1.1K views · 2 likes · 0 reposts · 1 replies Open on X →
@kalilinux offline is honestly the more interesting part here than the LLM itself. for security teams, local by default is not a nice extra, it’s the only setup that doesn’t leak sensitive context on the way out 3.3K views · 21 likes · 0 reposts · 1 replies Open on X →
@kalilinux hey AI, do this thing i don't know how to do and don't understand. don't make me learn anything as I'm too lazy to educate myself, just do all the work for me and make me no smarter... https://t.co/nwhlGgDlOM
GIF
3.6K views · 31 likes · 1 reposts · 4 replies Open on X →
Kali & LLM: Completely local with Ollama & 5ire: We are extending our LLM-driven Kali series, where natural language replaces manual command input. This time however, we are doing everything locally and offline. We are using our own hardware and not... https://t.co/T2PoQjqofr htt
55.2K views · 597 likes · 83 reposts · 11 replies Open on X →
Kali & LLM: Completely local with Ollama & 5ire: We are extending our LLM-driven Kali series, where natural language replaces manual command input. This time however, we are doing everything locally and offline. We are using our own hardware and not… https://t.co/Tqydp01kPp https
120.1K views · 1.9K likes · 326 reposts · 25 replies Open on X →
@kalilinux LLM-driven Kali workflows are cool, but also terrifying. One bad suggestion and you’ve got ‘rm -rf’ in prod with a friendly explanation. 8.4K views · 50 likes · 1 reposts · 1 replies Open on X →
@kalilinux You can do just about the same thing with ShellGPT with a back-end API connection to an LLM support by LiteLLM including Anthropic. https://t.co/29ZofYgzbW https://t.co/PHbhFnDIPY
13.8K views · 69 likes · 3 reposts · 3 replies Open on X →
@kalilinux Or you could just read the nmap results :/ 13.9K views · 49 likes · 0 reposts · 2 replies Open on X →
Kali & LLM: macOS with Claude Desktop GUI & Anthropic Sonnet LLM: This post will focus on an alternative method of using Kali Linux, moving beyond direct terminal command execution. Instead, we will leverage a Large Language Model (LLM) to translate… https://t.co/4FgYYCjePl https
794.7K views · 3K likes · 499 reposts · 103 replies Open on X →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

794.7K25 Feb
13.9K
13.8K
8.4K
120.1K10 Mar
55.2K
3.6K
3.3K
1.1K
86K24 Mar
50.9K29 Jun

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.48%25 Feb
0.37%
0.54%
0.62%
1.88%10 Mar
1.26%
1.01%
0.66%
0.28%
2.38%24 Mar
1.83%29 Jun

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes56.2%8 109 in total
Reposts9.6%1 387 in total
Replies1.5%212 in total
Quotes1.9%272 in total
Bookmarks30.8%4 438 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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