This is the technical side of the notebook: security work, CTF lessons, fraud patterns, tooling, and thoughts about systems that fail in interesting ways.
I care most about the part after the trick is found: what the failure says about the design, the assumptions, and the people who trusted it.
AI & automation: thoughts about language models, safety layers, and where tooling is going.
CTF: writeups, techniques, and the small patterns that make future challenges easier.
Security notes: practical breakdowns of attacks, mistakes, and defensive lessons.
AI is not a separate topic from security, productivity, or identity anymore. It changes how people learn, write, code, decide, and avoid deciding.
This section is for the parts that feel too important to leave as scattered shower thoughts.
A practical index of CTF writeups, tools, and techniques across steganography, reversing, web exploitation, forensics, crypto, OSINT, and terminal jails.
A defensive guide to how credit-card fraud works in practice: leaked numbers, social media exposure, NFC myths, physical theft, dark-web resale, and realistic protection.
A practical look at RTLO, shortcuts, misleading extensions, NTFS streams, archives, and polyglots through the thing they all exploit: disagreement about what a file actually is.
