YOUR AI AGENT CAN FINALLY SCRAPE WEBSITES WITHOUT GETTING BLOCKED
- Zero bot detection
- Bypasses Cloudflare naturally
- 774 times faster than BeautifulSoup
- No need for selector maintenance
GitHub: https://t.co/4REiEjgaed
want to dump LSASS secrets without making too much noise on the targets network? or without triggering alarms? use nanodump oh and there's also a module for nxc as well 😎
note: nanodump was designed to avoid detection bypassing common AV/EDR solutions
https://t.co/6ixRw3l6tI
Anthropic just lit a fire 🔥
They pulled Claude Code from the $20 plan…
So devs did what devs do:
Rebuilt it. Open-source. Better.
OpenClaude ↓
• Any model (GPT, Gemini, local)
• No subscriptions
• No limits
• Full coding agent in your terminal
But here’s the kicker:
You can route tasks across models.
Cheap for simple.
Powerful for complex.
One CLI. Infinite setups.
Gatekeep tools →
Get replaced.
This is going to blow up.
🔴 Threat Intelligence Alert: OpenMythos Just Released
The open-source community has received a theoretical PyTorch reconstruction of Anthropic’s speculated “Claude Mythos” architecture. Developed by @KyeGomezB, the repository kyegomez/OpenMythos implements a Recurrent-Depth Transformer (RDT) integrated with Mixture-of-Experts (MoE).
Technical Summary:
•Core Structure: Three stages — Prelude (initial transformer blocks), Recurrent Block (weight-shared block applied iteratively up to max_loop_iters in a single forward pass), and Coda (final processing stage).
•Key Mechanism: Weight-sharing + sparse conditional expert routing, enabling recursive effective depth without a linear increase in parameters.
•Central Hypothesis: Recursive application of the same parameterized block combined with sparse expert activation produces a superior efficiency × performance trade-off and enables emergent multi-step reasoning.
Cybersecurity Implications:
•Democratizes cutting-edge techniques for efficient scaling and deep reasoning capabilities.
•Significantly lowers computational barriers for building sophisticated large language models.
•Raises the risk of rapid proliferation for malicious use cases: advanced attack automation, polymorphic malware generation, large-scale influence operations, and automated red teaming by low-resource threat actors.
Repository: https://t.co/DARLPHbS6e
Security professionals: How do you evaluate the threat impact of democratizing these advanced AI architectures?
#ThreatIntelligence #AISecurity #OpenSourceAI #CyberSecurity #LLM
No jailbreak. No problem. 🔓
I built a tool that bypasses iOS SSL Pinning using OpenVPN + iptables — works with Burp Suite & mitmproxy out of the box.
👇 GitHub
https://t.co/N4QyCDaXvR
#CyberSecurity#BugBounty#iOS#Pentesting
EvilMist - a collection of scripts and utilities designed to support cloud penetration testing & red teaming. ✅Identify misconfigurations
✅Assess privilege-escalation paths
✅Simulate attack techniques
https://t.co/GbGmqpt7rv
🛠️ Patchless AMSI bypass using hardware breakpoints and a vectored exception handler to intercept AmsiScanBuffer and AmsiScanString before they execute https://t.co/2uAGl5ByqM