Rashid

Cyber Security Evangelist

[Densel @luckyhacker43]

From Default IIS Page to Critical SQL Injection
https://t.co/YKmC0InTuY
Join team 👉https://t.co/FeMz53HSN0

[徐伦 @Jolyne_AI]

加州大学开放课程《大语言模型的强化学习》，用“理论 + 实战”的方式，把 AI 训练的关键技术从零到一讲透，帮你系统建立从强化学习到 LLM 训练的完整框架。

课程内容覆盖全面，配套资源齐全：讲座幻灯片、完整视频、实践练习一应俱全，学完就能上手做。

课程地址：https://t.co/W0l8b4f7Pi

你将学到：

- 深度强化学习核心：MDP、策略梯度、A3C、PPO 等关键算法
- 大语言模型基础：NLP、语言建模、RNN 等入门与脉络
- RLHF 全流程拆解：基于人类反馈的训练方法与落地思路
- 可验证奖励强化学习：面向更安全、更可靠的训练范式
- 动手实践：Jupyter 代码示例 + 课后作业，边学边练

课程由 UCLA 数学系助理教授主讲，YouTube 提供全套视频，内容扎实，适合想把“RL + LLM 训练”真正学明白的人。

[Md Ismail Šojal 🕷️ @0x0SojalSec]

AI/ML Pentesting Roadmap (2026 Edition) takes you from zero to practitioner foundations, OWASP LLM Top 10

- LLM fundamentals to Advanced prompt injection, jailbreaks & agentic AI attacks & indirect injection
- MCP exploitation & Agentic AI security (the new frontier) RAG exploitation
- Real tools, CTFs, papers & bug bounty programs

Updated with latest OWASP, MITRE ATLAS, real-world research & offensive tools.

Ideal for bug bounty hunters, pentesters and cybersecurity pros

[freeCodeCamp.org @freeCodeCamp]

AI agents are more useful when they can remember, use tools, and run from places you already check.

In this course, Shawn teaches you how to build a Telegram AI agent with Vercel, Cursor, and Composio.

You'll add app integrations, long-term memory, mobile access, and scheduled tasks with Vercel Cron along the way.

https://t.co/HYCwefkP3r

[Thomas Roccia 🤘 @fr0gger_]

FuzzingLabs has created a curated repo of offensive MCP servers you can wire to your agents! 👇

https://t.co/qly5tBhU6J

[Tom Dörr @tom_doerr]

BypassAV mind map for bypassing antivirus and EDR

https://t.co/kJy7YhLqQG

[Tom Dörr @tom_doerr]

Simulated drone hacking without physical hardware

https://t.co/HDAUS7iVHJ

[Kostas @Kostastsale]

Really liked this SpecterOps write-up.

EDR gives defenders visibility and response options you absolutely want.

But no serious attacker treats EDR as the end of the road. They probe, learn, change their approach, and try again.

SOTA LLMs make that process faster.

EDR is critical. It is not magic.

https://t.co/RZyb8297Qh

[Hacking Articles @hackinarticles]

Lateral Movement: Pass-the-Hash Attack 🔥

🔥 Telegram: https://t.co/upuP8k8ckB
✴ Twitter: https://t.co/Za7rYILz6E

Pass-the-Hash (PtH) is a powerful lateral movement technique where attackers use NTLM hashes instead of plaintext passwords to authenticate and access systems within a network. It allows attackers to move across machines without cracking credentials.

📚 Topics Covered

🔐 NTLM Authentication
📂 Credential Dumping (SAM, NTDS, LSASS)
⚡ Hash Authentication Technique
🧠 Working of PtH (Extract & Pass Hash)
📡 Lateral Movement via SMB, WMI, RPC
🛠️ Tools: Mimikatz, Impacket, CrackMapExec
🚨 Detection Techniques
🛡️ Mitigation Strategies

🧠 Read More:
https://t.co/mUx77qblfv

#CyberSecurity #PassTheHash #RedTeam #LateralMovement #Pentesting #Infosec

[Nicolas Krassas @Dinosn]

SpiderFoot was dead on modern Python. It's back. https://t.co/WE7JaYClaQ

[Nicolas Krassas @Dinosn]

Dumping LSASS Without Touching Disk: Improvements to ShadowDumper https://t.co/z1ZeNyD3lb

[freeCodeCamp.org @freeCodeCamp]

MLOps helps you take machine learning models from experimentation to production.

In this course, you'll learn how to use MLflow to manage the entire ML lifecycle.

You'll also learn Databricks and Hugging Face to build reproducible, scalable & observable systems.

https://t.co/5WFsUhjEvW

[Md Ismail Šojal 🕷️ @0x0SojalSec]

You can now build & run a complete real electric circuit simulator in full 3D,,,

This is insane:
- Full 3D circuit simulator
- Runs real Arduino code
- Accurate analog & digital simulation
- Blinking LEDs, sensors, motors, LCDs, displays everything and more

Powered by AVR8js & Three.js magic.
Everything runs smoothly right in your browser.
Perfect for learning, prototyping, and teaching electronics.

Real Arduino code running in the browser with full 3D circuits.

- https://t.co/4cWk8IIExQ

[OccupytheWeb @three_cube]

How To Build Your Very Own Bluetooth and Wi-Fi Jammer

https://t.co/du4q6XmLG8

[Smukx.E @5mukx]

Malware Reverse Engineering for Beginners – Part 1: From 0x0

https://t.co/bQFRzKzu15

#malware #reversing #basics

[Tom Dörr @tom_doerr]

Reverse engineers Android APKs using LLMs and apktool

https://t.co/VSZ8XO8TQI

[Tom Dörr @tom_doerr]

Runs WireGuard VPN with a web-based admin UI

https://t.co/HTe2hiUl07

[Nicolas Krassas @Dinosn]

I tried a Local AI model (Qwen 3.6 27b) for security research and it works surprisingly well. https://t.co/09HOfCr6vH

[Dan Kornas @DanKornas]

Stop learning LLM internals from random one-off tutorials.

LLM Internals is a step-by-step GitHub learning repo for understanding how large language models work under the hood.

It helps you build a cleaner mental model by organizing blogs and videos from tokenization to attention math, Transformer components, training concepts, and inference optimization.

Key features:

• Fundamentals first – starts with LLMs, RAG, MCP, agents, fine-tuning, quantization, tokenization, and BPE
• Attention math – walks through Q/K/V, √dₖ scaling, causal masking, RoPE, and grouped-query attention
• Transformer components – covers the architecture, feed-forward networks, normalization, MoE, and LoRA
• Training concepts – includes backpropagation, cross-entropy loss, RLHF, and reasoning models
• Inference optimization – covers KV cache, paged attention, Flash Attention, speculative decoding, continuous batching, and prompt caching

It’s open-source (Apache License 2.0).

Link in the reply 👇

[freeCodeCamp.org @freeCodeCamp]

An Intrusion Detection System acts like a security camera for your network.

And in this in-depth tutorial, @chairahalkar teaches you how to build a real-time IDS with Python.

It'll alert you to any potential cyber attacks and security breaches so you can keep your network safe.

https://t.co/XZA1NViM0M