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House of Pentester

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Hacking Articles

تُعد قناة Hacking Articles (@hackinarticles) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 21 151 مشتركاً، محتلاً المرتبة 6 389 في فئة التكنولوجيات والتطبيقات والمرتبة 20 433 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 21 151 مشتركاً.

بحسب آخر البيانات بتاريخ 21 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 1 252، وفي آخر 24 ساعة بمقدار 15، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 10.16‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 4.44‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 2 148 مشاهدة. وخلال اليوم الأول يجمع عادةً 940 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 2.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل attack, privilege, escalation, exploitation, enumeration.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
House of Pentester

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 22 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

21 151
المشتركون
+1524 ساعات
+3507 أيام
+1 25230 أيام
أرشيف المشاركات
DNS Record Types
DNS Record Types

Linux Grep Cheat Sheet
Linux Grep Cheat Sheet

🚀 Join Ignite Technologies' Red Team Operation Course Online! 🚀 🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99 💬 Wh
🚀 Join Ignite Technologies' Red Team Operation Course Online! 🚀 🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99 💬 WhatsApp: https://wa.me/message/HIOPPNENLOX6F1 📧 Email: info@ignitetechnologies.in Enroll now in our exclusive "Red Teaming" Training Program and explore the following modules: ✅ Introduction to Red Team 📩 Initial Access & Delivery ⚙️ Weaponization 🌐 Command and Control (C2) 🔼 Escalate Privileges 🔐 Credential Dumping 🖧 Active Directory Exploitation 🔀 Lateral Movement 🔄 Persistence 📤 Data Exfiltration 🛡️ Defense Evasion 📝 Reporting Join us for a comprehensive learning experience! 🔒💻🔍

ESC16.pdf2.15 MB

ADCS ESC16 – Security Extension Disabled on CA (Globally) ✴ Twitter: https://x.com/hackinarticles The ESC16 vulnerability in
ADCS ESC16 – Security Extension Disabled on CA (Globally) ✴ Twitter: https://x.com/hackinarticles The ESC16 vulnerability in AD CS allows attackers to bypass certificate validation and escalate privileges through misconfigured templates, UPN mapping, and shadow credentials. 📘 Overview of the ESC16 Attack 📋 Prerequisites 🧪 Lab Setup 🎯 Enumeration & Exploitation 🧠 Post Exploitation  🔁 Lateral Movement & Privilege Escalation Using Evil-WinRM 🛡️ Mitigation

Cloud Security Framework
Cloud Security Framework

Azure Service
Azure Service

Azure Mindmap
Azure Mindmap

2FA Bugs
2FA Bugs

🚀 AI Penetration Training (Online) – Register Now! 🚀 🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99 💬 WhatsApp: htt
🚀 AI Penetration Training (Online) – Register Now! 🚀 🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99 💬 WhatsApp: https://wa.me/message/HIOPPNENLOX6F1 📧 Email: info@ignitetechnologies.in Limited slots available! Hurry up to secure your spot in this exclusive training program offered by Ignite Technologies. 🧠 LLM Architecture 🔐 LLM Security Principles 🗄️ Data Security in AI Systems 🛡️ Model Security 🏗️ Infrastructure Security 📜 OWASP Top 10 for LLMs ⚙️ LLM Installation and Deployment 📡 Model Context Protocol (MCP) 🚀 Publishing Your Model Using Ollama 🔍 Introduction to Retrieval-Augmented Generation (RAG) 🌐 Making Your AI Application Public 📊 Types of Enumeration Using AI 🎯 Prompt Injection Attacks 🐞 Exploiting LLM APIs: Real-World Bug Scenarios 🔑 Password Leakage via AI Models 🎭 Indirect Prompt Injection Techniques ⚠️ Misconfigurations in LLM Deployments 👑 Exploitation of LLM APIs with Excessive Privileges 📝 Content Manipulation in LLM Outputs 📤 Data Extraction Attacks on LLMs 🔒 Securing AI Systems 🧾 System Prompts and Their Security Implications 🤖 Automated Penetration Testing with AI

Attacking Java.pdf2.02 MB

Java Security Risks Explained ✴ Twitter: Share this thread ☢ JNDI Injection Scenario: Fake delivery → RCE via LDAP. Risk: log
Java Security Risks Explained ✴ Twitter: Share this thread ☢ JNDI Injection Scenario: Fake delivery → RCE via LDAP. Risk: logback.xml loads malicious classes. Fix: Disable reloadByURL; use Java ≥8u191. ☢ Deserialization Scenario: Tampered package → RCE. Risk: ObjectInputStream executes gadget chains. Fix: Use ValidatingObjectInputStream; whitelist classes. ☢ XXE Scenario: Malicious XML → file read. Risk: DocumentBuilder parses external entities. Fix: Disable DTDs: setFeature("disallow-doctype-decl", true). ☢ Auth Bypass Scenario: Path manipulation → admin access. Risk: startsWith()/endsWith() filters bypassed. Fix: Normalize paths; strict validation. Key Defenses Patch: Update Java/JNDI. Log: Monitor Runtime.exec(). Least Privilege: Restrict RMI/JMX.

Attacking Rust.pdf1.96 MB

Rust Security Risks Explained Through Simple Scenarios ✴ Twitter: Share this thread Understand Rust’s security pitfalls and h
Rust Security Risks Explained Through Simple Scenarios ✴ Twitter: Share this thread Understand Rust’s security pitfalls and how to avoid them with these analogies: ☢ Unsafe Code Misuse Scenario: Bypassing seatbelts → Crash injuries guaranteed. Risk: unsafe blocks disable Rust’s memory safety, risking corruption. Defense: Minimize unsafe; validate inputs and use references (&mut T). ☢ Dependency Confusion Scenario: Fake package delivery → Malware in your project. Risk: Unpinned Cargo dependencies fetch malicious versions. Defense: Pin exact versions (rand = "=0.8.4") and audit Cargo.lock. ☢ Integer Overflow Scenario: Odometer rolls over → Mileage resets to zero. Risk: Arithmetic operations panic/crash in debug mode. Defense: Use Wrapping types or checked methods (x.checked_add(200)). ☢ Panic-Driven Crashes Scenario: Fire alarm for minor issues → Chaos. Risk: Unrecoverable panics disrupt applications. Defense: Prefer Result/Option for graceful error handling. ☢ Race Conditions Scenario: Two chefs sharing a knife → Bloody fingers. Risk: Threads corrupt shared state without synchronization. Defense: Use Mutex/Arc or message passing (std::sync::mpsc). ☢ Out-of-Bounds Access Scenario: Reading someone else’s mail → Privacy breach. Risk: Array indexing beyond bounds leaks data/crashes. Defense: Always use .get(index) with bounds checks. Key Defensive Actions Audit Dependencies: cargo audit for known vulnerabilities. Lint Code: Enable #![forbid(unsafe_code)] where possible. Test Thoroughly: Fuzz with cargo-fuzz to find edge cases. Log Errors: Use tracing or log crates for diagnostics. Concurrency Checks: Run MIRI (Rust’s interpreter) to detect data races.

Tcpdump Mindmap
Tcpdump Mindmap

Python Roadmap
Python Roadmap

Python 3
Python 3

Useful Python Binaries
Useful Python Binaries

Python List Methods
Python List Methods