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I built a Python script that automatically reads IP addresses from a file, queries a threat intelligence API (AbuseIPDB) Checks each IP’s abuse confidence score Flags suspicious IPs (e.g., known for spam, DDoS, malware)and saves flagged IPs into a blocklist file.

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Coding Ninja 🥷🏾 | Software Engineer

2,702 subscribers

95,880 Aufrufe • vor 1 Jahr •via X (Twitter)

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12 Kommentare

Profilbild von Coding Ninja 🥷🏾
Coding Ninja 🥷🏾vor 1 Jahr

@cyber_rekk @donteatme_1 @Cyber_indaboski @ireteeh Github link :

Profilbild von RTTS
RTTSvor 2 Jahren

API testing of interfaces is critical to determine if they meet requirements for functionality, reliability, performance, and security. Check out RTTS - the automated testing experts since 1996. #API #testautomation #integrationtest

Profilbild von VOICE×OF×THE-STREET
VOICE×OF×THE-STREETvor 1 Jahr

Bro, is this obs studio? The screen recorder?? And great Job, check my TL for some python project I can try.

Profilbild von Coding Ninja 🥷🏾
Coding Ninja 🥷🏾vor 1 Jahr

Nahh I just used the snipping tool on windows 11, it has a screen recording feature now Thank you bro, I would definitely check your page for ideas man

Profilbild von CYB3R - H4CK3RTR0N
CYB3R - H4CK3RTR0Nvor 1 Jahr

Great job bro

Profilbild von Coding Ninja 🥷🏾
Coding Ninja 🥷🏾vor 1 Jahr

Thank you bro

Profilbild von Chinyere | Cybersecurity ✍️
Chinyere | Cybersecurity ✍️vor 1 Jahr

This is incredible 👏👏👏

Profilbild von Coding Ninja 🥷🏾
Coding Ninja 🥷🏾vor 1 Jahr

Thank you broo

Profilbild von Cyber indaboski
Cyber indaboskivor 1 Jahr

Nice work bro 👏

Profilbild von Coding Ninja 🥷🏾
Coding Ninja 🥷🏾vor 1 Jahr

Thank youuu broo

Profilbild von Olúmáyòwá.dev
Olúmáyòwá.devvor 1 Jahr

This is lovely !!

Profilbild von Coding Ninja 🥷🏾
Coding Ninja 🥷🏾vor 1 Jahr

Thank you sir!

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Farzad 🇺🇸 🇮🇷

14,875 Aufrufe • vor 1 Monat

I just built a Brand Operating System inside Claude Cowork 🤯 A connected system of files that every skill automatically reads from, so your hook writer, brief generator, and script writer all speak in your exact brand voice. All inside Claude Cowork. Perfect for DTC brands and agencies tired of generic AI output that sounds like every other brand in their category. If you're opening a new Claude chat and re-explaining your brand, re-pasting your voice guidelines, and re-describing your customers every single time, a Brand OS fixes the entire loop: → Build 3 foundation files once per brand → Every skill you create reads from the Brand OS automatically → Hook writer pulls your voice + customer pain points → Brief generator pulls your positioning + angles → Script writer pulls the brief + brand DNA → Every output is calibrated to your brand on the first pass No re-briefing Claude on every chat. No editing for an hour to fix generic AI phrasing. No creative that sounds like it could belong to any brand. What you get in the playbook: → The exact Brand OS file structure I use → Templates for all 3 files you can fill in for any brand → The architecture that makes every Claude skill 10x sharper → The exact setup for agencies running a Brand OS per client For agencies: this is how you build a perfect, reusable knowledge base for every client on your roster. Set up the Brand OS once per client, and every campaign after that is already calibrated. I put together a full playbook with the file templates, the architecture, and the exact setup process so you can build your own Brand OS for your brand or your clients. Want it for free? > Like this post > Comment "OS" And I'll send it over (must be following so I can DM)
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I just built a Brand Operating System inside Claude Cowork 🤯 A connected system of files that every skill automatically reads from, so your hook writer, brief generator, and script writer all speak in your exact brand voice. All inside Claude Cowork. Perfect for DTC brands and agencies tired of generic AI output that sounds like every other brand in their category. If you're opening a new Claude chat and re-explaining your brand, re-pasting your voice guidelines, and re-describing your customers every single time, a Brand OS fixes the entire loop: → Build 3 foundation files once per brand → Every skill you create reads from the Brand OS automatically → Hook writer pulls your voice + customer pain points → Brief generator pulls your positioning + angles → Script writer pulls the brief + brand DNA → Every output is calibrated to your brand on the first pass No re-briefing Claude on every chat. No editing for an hour to fix generic AI phrasing. No creative that sounds like it could belong to any brand. What you get in the playbook: → The exact Brand OS file structure I use → Templates for all 3 files you can fill in for any brand → The architecture that makes every Claude skill 10x sharper → The exact setup for agencies running a Brand OS per client For agencies: this is how you build a perfect, reusable knowledge base for every client on your roster. Set up the Brand OS once per client, and every campaign after that is already calibrated. I put together a full playbook with the file templates, the architecture, and the exact setup process so you can build your own Brand OS for your brand or your clients. Want it for free? > Like this post > Comment "OS" And I'll send it over (must be following so I can DM)

Mike Futia

30,214 Aufrufe • vor 4 Monaten

I just built a Claude skill that acts as a second brain for DTC brands 🤯 Drop your ad exports, customer reviews, competitor screenshots, and brand docs into a folder → Claude compiles it all into an organized wiki you can ask questions against. All inside Claude Cowork. Perfect for DTC brands and agencies whose knowledge is scattered across Google Drive, Notion, Meta Ads Manager, Figma, and 47 spreadsheets nobody has opened in 3 months. If every strategic question takes 2 hours to answer because the data lives in 8 different places ... This skill eliminates the entire loop: → Claude scaffolds a DTC folder structure: ads, customers, competitors, brand, performance, notes → You drop every file you have into those folders — messy, unorganized, exactly how you have them now → Claude reads everything and compiles a wiki: hooks-that-work, customer-pains, competitor-angles, brand-voice, performance-patterns, creative-brief-library → Every article is cross-linked and traceable back to the source file → You ask questions against the wiki — "what hooks are actually working?" "what objections come up most?" "where are my competitors weak?" → Claude answers, grounded entirely in your own data → Save the answers back in and the system gets smarter every time you use it No more hunting through 12 tools. No more "where did I save that brief?" No more answering the same question twice. What you get: → A complete DTC brand brain scaffold in 60 seconds → Six core wiki articles Claude populates automatically from your raw files → A schema file that tells Claude exactly how to maintain the wiki for DTC use cases → Monthly health checks that catch contradictions and flag gaps before errors compound → A knowledge base that compounds — every question you ask makes the next answer better Built on a methodology Andrej Karpathy shared for personal knowledge bases, I rebuilt the entire thing for DTC operators: folder structure, schema rules, wiki articles, and question frameworks all tuned for brands and agencies. I put together the full skill file plus a playbook walking through the exact setup and 5 real questions to ask your brand brain. Want it for free? > Like this post > Comment "BRAIN" And I'll send it over (must be following so I can DM)
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I just built a Claude skill that acts as a second brain for DTC brands 🤯 Drop your ad exports, customer reviews, competitor screenshots, and brand docs into a folder → Claude compiles it all into an organized wiki you can ask questions against. All inside Claude Cowork. Perfect for DTC brands and agencies whose knowledge is scattered across Google Drive, Notion, Meta Ads Manager, Figma, and 47 spreadsheets nobody has opened in 3 months. If every strategic question takes 2 hours to answer because the data lives in 8 different places ... This skill eliminates the entire loop: → Claude scaffolds a DTC folder structure: ads, customers, competitors, brand, performance, notes → You drop every file you have into those folders — messy, unorganized, exactly how you have them now → Claude reads everything and compiles a wiki: hooks-that-work, customer-pains, competitor-angles, brand-voice, performance-patterns, creative-brief-library → Every article is cross-linked and traceable back to the source file → You ask questions against the wiki — "what hooks are actually working?" "what objections come up most?" "where are my competitors weak?" → Claude answers, grounded entirely in your own data → Save the answers back in and the system gets smarter every time you use it No more hunting through 12 tools. No more "where did I save that brief?" No more answering the same question twice. What you get: → A complete DTC brand brain scaffold in 60 seconds → Six core wiki articles Claude populates automatically from your raw files → A schema file that tells Claude exactly how to maintain the wiki for DTC use cases → Monthly health checks that catch contradictions and flag gaps before errors compound → A knowledge base that compounds — every question you ask makes the next answer better Built on a methodology Andrej Karpathy shared for personal knowledge bases, I rebuilt the entire thing for DTC operators: folder structure, schema rules, wiki articles, and question frameworks all tuned for brands and agencies. I put together the full skill file plus a playbook walking through the exact setup and 5 real questions to ask your brand brain. Want it for free? > Like this post > Comment "BRAIN" And I'll send it over (must be following so I can DM)

Mike Futia

15,210 Aufrufe • vor 4 Monaten

I can state, with confidence, that given the level of commitment and enthusiasm I have witnessed from the SWAPO Party rank and file here in Olukonda and elsewhere in the country over the past month, we will be celebrating next week a resounding victory for the SWAPO Party and its candidate Comrade Netumbo Nandi-Ndaitwah.
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I can state, with confidence, that given the level of commitment and enthusiasm I have witnessed from the SWAPO Party rank and file here in Olukonda and elsewhere in the country over the past month, we will be celebrating next week a resounding victory for the SWAPO Party and its candidate Comrade Netumbo Nandi-Ndaitwah.

Dr Nangolo Mbumba

16,183 Aufrufe • vor 1 Jahr