Kripto Geek (@Kripto_Geek) header
Kripto Geek (@Kripto_Geek) profile picture

Just a curious man trying to learn a lot of things. Into Devops, cloud and web penetration testing.

Almost on Moon
Joined February 2022
Photo by Kripto Geek (@Kripto_Geek)Photo by Kripto Geek (@Kripto_Geek)Photo by Kripto Geek (@Kripto_Geek)Photo by Kripto Geek (@Kripto_Geek)Photo by Kripto Geek (@Kripto_Geek)Photo by Kripto Geek (@Kripto_Geek)Photo by Kripto Geek (@Kripto_Geek)Photo by Kripto Geek (@Kripto_Geek)
Kripto Geek retweeted
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Every new feature is a head start if you know the target well enough
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Just released the Ultimate IDOR Testing Checklist 🧩 I combined techniques from many sources to cover IDOR scenarios. Know a technique I missed? Drop it in the comments. Notion: mrdesoky0.notion.site/Ultima… GitHub: github.com/mrdesoky0/vulnera… #bugbountytips #IDOR #AppSec #InfoSec
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Kripto Geek retweeted
Found an SSRF? Time to escalate! 🤠 Surf by @assetnote helps you discover hidden SSRF targets in cloud environments. It scans a list of hosts to identify which domains appear publicly accessible but are actually configured to only accept internal traffic, perfect candidates for SSRF exploitation that bypass traditional IP-based filters. 😎 Check it out! 👇 github.com/assetnote/surf
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Kripto Geek retweeted
Critical: Client-Side Encryption Collapse site.com ↓ some_javascript.js ↓ Line no 80519 → encObj + base64 key ↓ atob(val) → "Encoded_Password" ↓ CryptoJS.AES.decrypt(encObj, passphrase) ↓ 55 configuration properties → 107 operational secrets exposed → Azure AD client_secret → OAuth client_credentials flow → RSA public keys → Forge encrypted /enc/ API requests → HMAC key → Backend-accepted payload signing → Direct Line token → Production chatbot access → Monitoring / RUM keys → Telemetry manipulation → Auth0 + reCAPTCHA config → Auth flow manipulation → 31+ encrypted authentication endpoints mapped ↓ Use extracted Azure AD credentials ↓ Request token from Microsoft OAuth endpoint (client_credentials) ↓ Receive valid JWT with high-privilege role (e.g., AllAccess) ↓ “Super token” accepted by backend across protected API routes (No user interaction required, role-based authorization granted) ↓ All sensitive authentication and account endpoints were wrapped in client-side hybrid encryption → Every request payload encrypted in browser → AES-256-CBC used for body encryption → RSA-OAEP used to wrap per-request AES key → Server accepts any request that decrypts successfully → Decryption success treated as implicit authorization ↓ Reverse-engineer encryption module (@**6246) → Algorithm: AES-256-CBC + RSA-OAEP (SHA-512) → Random 32-byte AES key per request → IV derived client-side → AES key wrapped with embedded RSA public key (promocode_pem) → Final format: { "key": base64(RSA_key), "body": hex(AES_ciphertext) } ↓ Hook JSON.stringify + XMLHttpRequest ↓ Capture plaintext BEFORE encryption (credentials, OTPs, tokens) Capture encrypted wrapper AFTER encryption Capture correlated server responses ↓ Analyze MFA implementation ↓ IP-based rate limiting only (lockout resets on IP change) OTP expiration not strictly enforced server-side Encrypted payload fields trusted after decryption ↓ Mass takeover method ↓ 1. Trigger MFA or password reset 2. Rotate IP to bypass rate limiting 3. Reuse or brute-force OTP under weak enforcement 4. Complete password reset flow 5. Authenticate as victim 6. Capture decrypted OTP and auth tokens via runtime hook 7. Reuse valid 2FA tokens for subsequent authenticated requests ↓ Full attack chain achieved: → Extract secrets from client bundle → Generate high-privilege JWT (“super token”) → Read any plaintext request (credentials, PII, tokens) → Forge any encrypted request the server will accept → Bypass MFA protections via IP rotation → Reset victim passwords → Decrypt authentication flows in runtime → Mass account takeover
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Kripto Geek retweeted
(⌐■_■) TUIOS is an experimental tiling multiplexer! Built with Bubble Tea and VT, the Charm terminal emulator
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Microsoft just killed the GPU mafia! 🤯 They've open-sourced bitnet.cpp, a blazing-fast 1-bit LLM inference framework optimized for CPUs. This is a major step forward for running large models locally, without expensive GPUs or cloud costs. Demo app + repo + paper in 🧵 ↓
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Caido Tricks: Drop Your Friends a Bug!
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Kripto Geek retweeted
- site:org.com ext:csv OR ext:xls OR ext:log ( i do skip pdfs ) - site:org.com "internal use only" ( you can replace with "classified", "private", "unauthorised" ) - site:org.com "@gmail.com" ext:csv ( try other extensions )
what's your dorks in google use ??
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Kripto Geek retweeted
Google Dork 101 - Negative Search 1️⃣ "site:<domain>" 2️⃣ Subtract noise: "-ir" 3️⃣ Dig until you hit gold ✨ Example: site:tesla .com -ir
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As someone that loves freedom, this is one of the reasons I got into IT. To build my very own home lab. Watch Arden's video for a beginner's guide to homelabbing ( link is in the comment section)
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Kripto Geek retweeted
Learn how to build projects from scratch in any programming language.
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Kripto Geek retweeted
Apple just dropped a killer open-source visualization tool for embeddings — Embedding Atlas — and it’s surprisingly powerful for anyone working with large text+metadata datasets. This reminds me of Nomic's Atlas, but I never got around to using it 😅 We’re talking real-time search, multi-million point rendering, and automatic clustering with labels. One of their showcase examples visualizes ~200K wine reviews using embeddings + metadata like price, country, and tasting notes. And it is lightning fast even on my browser! No separate code needed! It nails what most LLM devs need but often hack together: ✅ UMAP projections ✅ Faceted search across metadata (e.g. “country vs. price”) ✅ Hover + tooltip on raw points ✅ Interactive filters, histograms, and cluster overlays ✅ Cross-linked scatterplot + table views Under the hood: • Fast rendering using WebGPU (with WebGL fallback) • Embedding-based semantic similarity search • Kernel density contours for spotting clusters or outliers You just upload your .jsonl or .csv with text + vector + metadata. It handles the rest: clustering, labeling, UI layout, everything. This feels like the LLM-native version of Tableau — but optimized for text, chat and modern data needs If you’re building RAG evals, search tuning, clustering explainability, or even dataset audits — this could be your new favorite tool.
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Redesigned my website to use @webtui ironclad.sh
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Kripto Geek retweeted
>>> Qwen3-Coder is here! ✅ We’re releasing Qwen3-Coder-480B-A35B-Instruct, our most powerful open agentic code model to date. This 480B-parameter Mixture-of-Experts model (35B active) natively supports 256K context and scales to 1M context with extrapolation. It achieves top-tier performance across multiple agentic coding benchmarks among open models, including SWE-bench-Verified!!! 🚀 Alongside the model, we're also open-sourcing a command-line tool for agentic coding: Qwen Code. Forked from Gemini Code, it includes custom prompts and function call protocols to fully unlock Qwen3-Coder’s capabilities. Qwen3-Coder works seamlessly with the community’s best developer tools. As a foundation model, we hope it can be used anywhere across the digital world — Agentic Coding in the World! 💬 Chat: chat.qwen.ai/ 📚 Blog: qwenlm.github.io/blog/qwen3-… 🤗 Model: hf.co/Qwen/Qwen3-Coder-480B-… 🤖 Qwen Code: github.com/QwenLM/qwen-code
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Kripto Geek retweeted
I earned $5,000 for my submission on @bugcrowd 1-Click prompt injection💉 allowed an attacker to send a victim a URL with an embedded malicious prompt that would extract their sensitive information and send it to the attacker's server. #bugbountytips #ittakesacrowd
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Seems kinda real for bug bounty :v
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Kripto Geek retweeted
4 Ways to bypass checkout systems in e-commerce targets! 🤑 A thread! 🧵 👇
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Stripe's CEO never studied finance. Instead, he reverse-engineered PayPal’s docs—and built a $95 BILLION company at 22. How? A learning method so powerful, it's now taught in colleges. Here's his genius framework for learning anything fast: 🧵
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