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Building the map before building the weapon. 🗺️⚙️
The Threat Cartographer’s Atlas is taking shape — a structured way to understand, audit, attack, and defend the modern API ecosystem.
REST. GraphQL. Authentication. Authorization. Injection. Reconnaissance. Defensive controls.
Instead of treating these as disconnected techniques, I’m mapping them as one system:
Surface → Weakness → Validation → Evidence → Impact → Defense → Retest
This is becoming one of the knowledge layers behind the Hackers Cookbook Engine.
The objective isn’t just to document vulnerabilities.
It’s to build a security engine that understands how the pieces connect.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Would you run a command without knowing what it could do?
A copied installation script. An automated workflow. A shell command suggested by AI.
Convenient? Yes. Worth checking before execution? Absolutely.
That’s why I built SafeShell, an open-source tool for inspecting commands, applying security policies, and running permitted commands with sandboxing on Linux.
The goal: help developers and engineering teams work faster with more control over what they execute.
Explore the code, try it, and share your feedback:
https://github.com/HamzaGhebriche/SafeShell
Building automation or CI/CD workflows that need stronger security controls? I’m available for freelance projects in DevSecOps, secure automation, and cloud security. Let’s talk through Contra.
• 2d
Atlas Treasury — from spec to a live fintech app with real PayPal APIs in 4 days (28 Oct → 1 Nov 2026). Problem: a company run by AI agents needs agents to earn and spend money safely. Built: PayPal Invoicing, Orders v2, Payouts, Webhooks and Disputes (sandbox) wired end to end; a policy engine in code with per-agent budgets — anything above policy waits for one tap on the owner's phone; a ledger linking every money movement to the task that caused it; Claude agents propose, code enforces the money rules. Numbers: ~2,300 lines of app code, 69 automated tests, 5 PayPal APIs, live URL. Code (MIT): github.com/iphoter-kolosov/atlas-treasury · video: youtu.be/RL5RwFmiSlc
• 2d
"Engineered an automated data-cleansing framework to audit, normalize, and restructure high-error transactional records. By resolving systemic data anomalies—including string irregularities, duplicate entity entries, schema mismatches, and null variances—this pipeline elevated raw, unreliable logs into clean, decision-ready assets primed for business intelligence modeling."
