How To Find Anyone Online Using OSINT

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Intercepts mobile HTTPS traffic with desktop MITM proxy github.com/danieldev23/trafe…

Simulates LLM attacks locally with 50 vulnerabilities github.com/confident-ai/deep…

GitHub Repo: github.com/santifer/career-o… Hit the notifications on for useful AI tools.

In 14 minutes, this Anthropic engineer who wrote "Building Effective Agents" will teach you more about making your AI Agents actually work together than everything you've scrolled past this year. Watch it and Bookmark it now.

You can literally search for claude_desktop_config on GitHub and find hundreds of exposed Anthropic API keys Thanks vibe coders ❤️

Anthropic pays engineers $750,000 a year to understand how LLMs work. Stanford just put a 2 hour lecture that covers 80% of it for FREE. Bookmark this. Give it 2 hours today. It might be the highest ROI thing you do this month:

🚨 If you're hunting GraphQL bugs, this repo is a goldmine 👉 “awesome-graphql-security” is a curated list of tools, techniques & real-world resources for both attackers and defenders From recon → exploitation → learning paths… it’s all here 💣 Perfect for bug bounty hunters 🔗 github.com/Escape-Technologi… 👇 Start exploring before others do

Practical Thick Client Pentesting Checklist 1. Dump process memory; grep for creds, tokens, or sensitive data 2. Check clipboard after key app actions for leaked info 3. Extract SQLite/LevelDB/custom DBs; look for cached secrets 4. Review update/installer configs for dev or backup endpoints 5. Find leftover backup, temp, or crash dump files 6. Enumerate & fuzz IPC (pipes, COM, shared memory) 7. Tweak INI/XML/registry configs to unlock features or escalate 8. Feed malformed/oversized inputs to parsers; hunt for crashes or leaks 9. Spoof update servers via hosts/DNS poisoning 10. Replay or alter trial/license activations; change MAC/time to reset 11. Hook WinAPI/libs; log sensitive calls or bypass controls 12. Attempt DLL hijacking via crafted DLLs in search paths And it goes on and on!

FREE for ALL: AWS: drive.google.com/drive/mobil… CISSP: drive.google.com/drive/mobil… CISA: drive.google.com/drive/mobil… CISM: drive.google.com/drive/mobil… CRISC: drive.google.com/drive/mobil… CCDA: drive.google.com/drive/mobil… Digital Marketing: drive.google.com/drive/mobil… Getting-Started-Becoming-a-Master-Hacker. PDF VIDEO: teraboxapp.com/s/1xapfEfdjHT… cc: TheMsterDoctor1

Fu-JS 🔎 — a powerful recon tool that crawls JavaScript across subdomains, uncovers hidden endpoints, extracts secrets, builds target-specific wordlists, and recursively expands attack surface from JS files. Perfect for bug bounty hunters focused on client-side recon & endpoint discovery. Source: github.com/th3hack3rwiz/Fu-J… #BugBounty #Recon #AppSec #WebSecurity #JavaScript

KishorBal/deep-C: Android deeplink misconfiguration detector and exploitation tool- An additional Web Interface have been added. medium.com/@kishorbalan/deep… #CyberSecurity #EthicalHacking #Pentesting

someone built an entire AI RED TEAM - multiple agents that coordinate HACKING ATTACKS together, ZERO human input PentAGI, open source, one agent does recon, another scans, another exploits, another writes the report. they talk to each other and adapt based on what they find it ships as one docker container with nmap, metasploit, sqlmap, hydra preinstalled. the AI decides which tool to use and when. you point it at a target and walk away a red team engagement costs $30-50k and takes weeks. this is one docker command and API tokens

Autonomous Multi-Agent Based Red Team Testing Service, AI hacker. - github.com/PurpleAILAB/Decep… #infosec #cybersec #bugbountytips

Finding deepLinks exploits on real world applications using : github.com/KishorBal/deep-C #mobilehacking #android #bugbounty #pentest

Augustus - LLM Vulnerability Scanner - github.com/praetorian-inc/au… Augustus is a LLM vulnerability scanner for security professionals. It tests large language models against a wide range of adversarial attacks, integrates with 28 LLM providers, and produces actionable vulnerability reports. Existing tools like garak (NVIDIA) and promptfoo serve the research and red-teaming community well. But we needed something built for the way our operators work: a fast, portable binary that fits into existing penetration testing workflows without requiring Python environments, npm installs, or runtime dependencies.

PentestAgent Open-source AI multi-agents doing black-box pentesting autonomously. - Autonomous mode runs full workflows: multi-agent red team simulation. - AI agents chain recon: Integrated Nmap, Metasploit, FFUF, SQLMap , vuln analysis, exploitation - RAG for contextual knowledge - tool chaining reporting. - Built-in browser, search, dockerized pentest tools , all orchestrated by LLM crews. - github.com/GH05TCREW/pentest… #infosec #cybersec #bugbountytips

🚨 Introducing Deep-C 🚨 An Android Deep Link Exploitation Framework that: • Decompiles APKs • Finds insecure deep links & exported activities • Maps real attack scenarios • Generates adb PoCs automatically #AndroidSecurity #hacking #pentest github.com/KishorBal/deep-C

Android Reverse Engineering Notes notion.so/Reverse-Engineerin…