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.
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
🔗 https://t.co/9ThzitmPkz
👇 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!
KishorBal/deep-C: Android deeplink misconfiguration detector and exploitation tool- An additional Web Interface have been added.
https://t.co/5HGVk9tR0b
#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