threat hunter - threat intelligence - security research - CTF Lover
"Ex nihilo nihil fit" — nothing comes from nothing.
$ whoami
theGr8Val
$ cat about.txt
I live at the intersection of curiosity and paranoia —
which is exactly where you want your security researcher to be.
$ ls skills/
binary-exploitation/ web-security/ reverse-engineering/
OSINT/ forensics/ DFIR/ detection-engineering/ KQL/ python/ bash/
$ █| repo | what it is | |
|---|---|---|
| 🃏 | TGV-CyberRGBCard | generate your cyberpunk security character card — AI writes your lore |
| 🤖 | TGV-AIFramework | decision tree for picking the right AI type — no vibes, just output shape |
| 🕵️ | TGV-TimelineAnomalyHighlighter | ML-powered DFIR timeline analysis — flags anomalous events with plain-English explainability |
| 📖 | TGV-Grimoire | curated LLM prompts engineered for cybersecurity practitioners |
| 🎯 | TGV-VulnSpotter | community challenges to practice spotting vulns in real-world code |
| 🔍 | TGV-KQLDojo | structured KQL challenges for Sentinel & Defender analysts |
| 🧭 | TGV-CareerCompass | offline terminal tool to map your cybersecurity career path |
| 📝 | TGV-ReportForge | automated cybersecurity report generator |
From Skills to Tokens — AI is shifting cybersecurity from skill-based to access-based. What that means for practitioners.
STT #3 — Comment and Control — Malicious instructions in PR titles can make AI coding agents leak API keys in CI/CD.
STT #2 — When AI Finds Zero-Days Faster Than Humans Can Patch Them — Autonomous AI chained zero-days across major OSes. What that means for defenders.
STT #1 — Your AI Gateway Was a Backdoor — 33,185 secrets exposed through a poisoned LiteLLM scanner in CI/CD lasting 40 minutes.
built in the dark. deployed with intent.