M4

[Yakub @Yakkubkk]

Best ball controls in football history

[Don Quijote de la IA @IA_Quijote]

🚨 Guarda esta clase magistral de 1 hora.

Se llama “How to Speak” y durante más de 40 años fue una de las charlas más legendarias del MIT.

Patrick Henry Winston, profesor del MIT, tenía una idea muy simple, tu forma de comunicar puede cambiar tu vida.

[Dino StandUp MX 🇲🇽 @DinoStandUpMX]

Deben estar desquiciados si no compran playeras en 👉🏼 https://t.co/N0XvqOjj5a 😱🦖

[SİYAH SANCAK @siyahsancakx]

⚫️ Profesyonel sporcunun korkusuzca yaptığı tehlikeli atlayışlar, izleyenleri korkuttu;

[Di @DI0256]

Here are some articles for you to read this weekend

1 Telegram OSINT https://t.co/zTw3iPpo0X
2 TikTok OSINT https://t.co/yzN3BZGMm1
3 WhatsApp OSINT https://t.co/np4bs7sSBy
@three_cube @_aircorridor @IamSmouk

[Rahul 🥷 @themishra4402]

Cybersecurity students after opening Kali Linux for the first time

[Fauno @FabrizioFauno]

¡La putisima IA asusta al mismo diablo!

[Hexsec Community @Hexsecteam]

🛠️ PEGASUS V-1.2 – Android Control & Testing Framework

Pegasus V-1.2 is a command-line based framework designed for Android devicee.

[Vivek | Cybersecurity @VivekIntel]

Red Team Roadmap 🔴🎯

├── Foundations
│ ├── Networking Basics
│ │ ├── TCP/IP & Protocol Exploitation
│ │ ├── DNS & DHCP Attacks
│ │ ├── Subnetting & Network Mapping
│ │ └── Topology Enumeration
│ ├── Operating Systems
│ │ ├── Windows
│ │ │ ├── Active Directory Enumeration & Attacks
│ │ │ ├── Group Policy Exploitation
│ │ │ └── Event Log Evasion
│ │ └── Linux
│ │ ├── File Permission Exploits
│ │ ├── Syslog Manipulation
│ │ └── Scripting (Bash, Python, PowerShell)
│ └── Cybersecurity Core
│ ├── Attack Surface Analysis
│ ├── Threat Modeling (MITRE ATT&CK)
│ ├── Exploit Development Basics
│ └── Common Attack Vectors

├── Threat Intelligence
│ ├── OSINT
│ │ ├── Tools (Maltego, Recon-ng, SpiderFoot)
│ │ └── Data Sources (Shodan, Censys, WHOIS)
│ ├── Reconnaissance
│ │ ├── Passive & Active Recon
│ │ ├── Social Engineering Techniques
│ │ └── Target Profiling
│ └── IOCs Evasion
│ ├── Obfuscating IPs, Domains, Hashes
│ └── File Signature Manipulation

├── Offensive Operations
│ ├── Exploitation
│ │ ├── Tools (Metasploit, Cobalt Strike)
│ │ ├── Vulnerability Exploitation (Exploit-DB, Custom Exploits)
│ │ └── Payload Development
│ ├── Post-Exploitation
│ │ ├── Privilege Escalation
│ │ ├── Lateral Movement
│ │ └── Persistence Techniques
│ ├── Evasion
│ │ ├── AV/EDR Bypass
│ │ └── Log Evasion & Obfuscation
│ └── Network Attacks
│ ├── MITM (ARP Spoofing, SSL Stripping)
│ └── Protocol Exploitation

├── Vulnerability Exploitation
│ ├── Vulnerability Discovery
│ │ ├── Tools (Burp Suite, Nmap)
│ │ └── Manual Testing Techniques
│ ├── Exploit Development
│ │ ├── Writing Custom Exploits
│ │ └── Shellcode Basics
│ └── Configuration Exploits
│ ├── Misconfiguration Identification
│ └── Exploiting Weak Configurations

├── Identity & Access Attacks
│ ├── Credential Harvesting
│ │ ├── Phishing & Keylogging
│ │ └── Password Cracking (Hashcat, John the Ripper)
│ ├── Privilege Escalation
│ │ ├── Exploiting Misconfigured RBAC/ABAC
│ │ └── Bypassing MFA/SSO
│ └── Identity Spoofing
│ ├── Token Impersonation
│ └── Account Takeover

├── Network & Architecture Attacks
│ ├── Network Exploitation
│ │ ├── Bypassing VLANs & Firewalls
│ │ └── Attacking Microsegmentation
│ ├── Zero Trust Evasion
│ │ ├── Bypassing Identity Checks
│ │ └── Exploiting Trust Misconfigurations
│ └── Encryption Attacks
│ ├── Weak TLS/SSL Exploitation
│ └── VPN Vulnerabilities

├── Social Engineering
│ ├── Phishing Campaigns
│ │ ├── Email & Vishing Attacks
│ │ └── Payload Delivery
│ └── Pretexting
│ ├── Impersonation Techniques
│ └── Social Engineering Frameworks

├── Compliance & Governance Evasion
│ ├── Audit Evasion
│ │ ├── Bypassing Audit Trails
│ │ └── Log Tampering
│ └── Policy Exploitation
│ ├── Exploiting Weak Policies
│ └── Circumventing Compliance Controls

├── Advanced Offensive Techniques
│ ├── Advanced Persistence
│ │ ├── Rootkits & Backdoors
│ │ └── Living Off the Land (LotL)
│ ├── Adversary Simulation
│ │ ├── Purple Teaming
│ │ └── ATT&CK Framework Emulation
│ └── Custom Tooling

[Erick @ErickSky]

ESTE ES EL FUTURO DEL RED TEAMING (o su pesadilla)

[Decepticon]

Le pasas una sola IP y 5 agentes de IA (llamados como Transformers) hacen el KILL CHAIN COMPLETO:

- Port scan
- Encuentran vulnerabilidades
- Ganan shell
- Dropean implant Sliver C2
- Roban credenciales
- Movimiento lateral

Todo automático.
Sin tocar una tecla.
Dentro de un sandbox de Kali.

REPOOO👇

[Errores gramaticales @ErrorGramatica]

Después de 15 años juntos, el perrito de repente no se despertó. Cuando su dueño lo descubrió, pasó del shock silencioso a un llanto incontrolable. Este tipo de dolor duele igual que perder a un miembro de la familia. Cualquiera que haya tenido una mascota lo entenderá. 😔

[arc. @arceyul]

Tutorial de 1 hora para dar tus primeros pasos con Claude Code aunque no sepas programar ni hayas tocado la terminal.

Consejos, casos de uso y proyectos reales para que aprendas desde 0.

Te lo dejo aquí ⬇️

[Aircorridor @_aircorridor]

Every wireless signal is a potential vulnerability!

Enhance your skills in software-defined radio and signals intelligence with the most in-depth hacker training offered today:
https://t.co/xCd0OJYNGa
@three_cube @DI0256 @IamSmouk @co11ateral

[elhacker.NET @elhackernet]

[Blog] OpenAnt es un escáner de vulnerabilidades basado en IA para detectarlas
https://t.co/ONNDCSz8vK

[Co11ateral @co11ateral]

For those of you interested in OSINT, here is another tool for WhatsApp

https://t.co/BNAsdSZ6ch

@three_cube @_aircorridor
#osint #privacy

[El Rey @MrReyKing]

Este nivel de publicidad es de otro calibre, simplemente CANNES LIONS 🥵😭

[Cyber Security News @The_Cyber_News]

🛡️ WiFi Signals Reveal Human Activities Through Walls by Mapping Body Keypoints

Source: https://t.co/mkDikXcWTn

A new open-source edge AI system called π RuView is turning ordinary WiFi infrastructure into a through-wall human-sensing platform detecting body pose, vital signs, and movement patterns without a single camera, raising urgent security and surveillance concerns.

RuView's signal processing pipeline captures these disturbances at 54,000 frames per second using Rust, extracts amplitude and phase variations, and feeds them through a modified DensePose-RCNN deep learning architecture borrowed from computer vision.

#cybersecuritynews