COMMON CYBERSECURITY THREATS

Linux File System 👇

15 free cybersecurity tools

Networking CheatSheet!! | IPCisco . ✨✨%60 off blackfriday coupon: udemy.com/course/ccna-200-30… . #ccna #BlackFriday #cisco

Types of Password Attacks

SQL Injection

Common networking protocols

Docker Containers vs Virtual Machines → Both Docker containers and Virtual Machines (VMs) are technologies used to isolate applications and their environments. → While they serve similar purposes, they differ significantly in structure, performance, and resource utilization. → Understanding these differences helps developers choose the right tool for application deployment and scalability. What Are Containers? → Containers are lightweight, portable units that package an application and its dependencies. → They share the host operating system’s kernel, allowing multiple containers to run on the same OS without needing separate OS instances. → Docker containers start almost instantly and use minimal system resources. What Are Virtual Machines? → Virtual Machines emulate entire operating systems. → Each VM runs on a hypervisor, which virtualizes hardware resources for multiple guest OS instances. → Every VM includes its own OS kernel, making it heavier and slower to start compared to containers. Architecture Comparison → Containers Architecture:  • Runs on the host OS using Docker Engine or another container runtime.  • Shares the OS kernel among all containers.  • Uses layered images for efficient storage and deployment. → Virtual Machines Architecture:  • Runs on a hypervisor (e.g., VMware, VirtualBox, KVM).  • Each VM has its own OS, virtualized hardware, and application stack.  • Requires more disk space and memory to operate. Performance Differences → Containers are lightweight and can start in seconds due to shared kernel architecture. → VMs take longer to boot since they load a full OS. → Containers consume fewer system resources, while VMs demand more CPU and memory. Isolation and Security → Containers provide process-level isolation, meaning they share the host OS kernel but run in separate user spaces. → VMs provide full isolation, each running its own OS, which offers stronger security boundaries but at higher cost. Portability and Deployment → Containers are highly portable — an image built on one system can run anywhere Docker is supported. → VMs are less portable due to their dependency on hypervisor configurations and full OS setups. → Containers are ideal for microservices, while VMs are suited for running different OS environments. Resource Efficiency → Containers require fewer resources since they reuse the host’s kernel. → VMs duplicate OS kernels, increasing storage and memory usage. → A single host can run dozens of containers but only a few VMs efficiently. Use Cases → Containers:  • Microservices architecture  • Continuous Integration/Continuous Deployment (CI/CD) pipelines  • Cloud-native and scalable applications → Virtual Machines:  • Running applications requiring different OS environments  • Legacy systems  • Full isolation for security-critical workloads Quick tip → Docker containers and Virtual Machines both provide isolated environments but with different levels of abstraction. → Containers are faster, more efficient, and portable — ideal for modern, cloud-native development. → VMs offer stronger isolation and flexibility for running different operating systems. → The choice depends on the project’s scalability, security, and environment requirements. Get the Docker Playbook here: codewithdhanian.gumroad.com/…

Servers You Should Know in Modern Systems

Do you want to become a hacker? You're gonna need a virtual machine. Here's everything you need to know about virtual machines and how to set them up yourself.  Watch now 👉 piped.video/watch?v=wX75Z-4M…

OSI vs TCP/IP Model

Is This Helpful!! | IPCisco . Please Like & Retweet..:) . #ccna #network #ccna

Linux system administration tips and tricks

OSI Layers and Attacks 🔥 Telegram: t.me/hackinarticles #CyberSecurity #InfoSec #PenetrationTesting #EthicalHacking #BugBounty #ThreatIntelligence #RedTeam #BlueTeam #CloudSecurity #DataSecurity #ZeroTrust #CyberSecurityJobs #CyberSecurityAwareness

My System Design - Cheat sheet System design is about creating applications that can handle real-world demands. 𝐒𝐲𝐬𝐭𝐞𝐦 𝐃𝐞𝐬𝐢𝐠𝐧 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 📌 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠 DNS - Domain Name System (resolvers, nameservers, records) Load Balancers - Hardware, software, Layer 4, Layer 7 CDNs - Content Delivery Networks (caching, edge servers) Proxies - Forward, reverse, transparent, anonymous VPNs - Virtual Private Networks (tunneling protocols) Firewalls - Packet filtering, stateful inspection NAT - Network Address Translation Gateways - Connect different networks Routers - Direct traffic between networks 📌 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 Databases - SQL, NoSQL (key-value, document, columnar, graph), NewSQL Object Storage - Amazon S3, Google Cloud Storage, Azure Blob Storage Block Storage - Network-attached storage (NAS), storage area networks (SAN) File Systems - Distributed file systems (HDFS, Ceph), Network File System (NFS) Caching - Redis, Memcached, Varnish, CDN edge caches 📌 𝐂𝐨𝐦𝐩𝐮𝐭𝐞 Servers - Bare metal, virtual machines (VMs) Containers - Docker, Kubernetes, container orchestration Serverless - AWS Lambda, Azure Functions, Google Cloud Functions FaaS - Function-as-a-Service PaaS - Platform-as-a-Service 📌 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 APIs - REST, GraphQL, SOAP, gRPC Message Queues - RabbitMQ, Kafka, ActiveMQ, Amazon SQS WebSockets - Real-time, full-duplex communication RPC - Remote Procedure Call, XML-RPC, JSON-RPC Pub/Sub - Publish-subscribe messaging pattern Service Mesh - Istio, Linkerd 📌 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐚𝐥 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 Microservices - Domain-driven design (DDD), service discovery, API gateways Monolithic - Layered architecture, MVC, MVP Event-driven - Event sourcing, CQRS Serverless - FaaS, BaaS (Backend-as-a-Service) 📌 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Horizontal Scaling - Load balancers, auto-scaling groups Vertical Scaling - Larger instances, more resources Replication - Master-slave, master-master Sharding - Partitioning data across multiple databases Redundancy - Multiple instances, failover mechanisms Fault Tolerance - Graceful degradation, circuit breakers Disaster Recovery - Backups, replication, geo-redundancy 📌 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 Authentication - Multi-factor authentication (MFA), single sign-on (SSO), OAuth, OpenID Connect Authorization - Role-based access control (RBAC), Attribute-based access control (ABAC) Encryption - Symmetric, asymmetric, hashing algorithms Security Protocols - TLS/SSL, HTTPS, SSH Web Application Firewalls (WAF) - Protect against web attacks Intrusion Detection Systems (IDS) - Identify malicious activity 📌 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Monitoring - Prometheus, Grafana, Datadog, New Relic Logging - ELK Stack (Elasticsearch, Logstash, Kibana), Splunk Tracing - Distributed tracing (Jaeger, Zipkin) Metrics - Counters, gauges, histograms, summaries APM - Application Performance Monitoring (Dynatrace, AppDynamics) 📌 Follow - @techNmak

FREE hosting: 🟣 Sevalla․com 🐙 GitHub Pages 🚀 Netlify ⚡ Vercel ☁️ Cloudflare Pages 🦊 GitLab Pages 🔥 Firebase Hosting 🧭 AWS Amplify 🛠️ Render 🌊 Surge 🌟 Gatsby Cloud 🏝️ Neocities․org 📦 FreeHosting ♾ InfinityFree 0️⃣ Static․run 🏆 AwardSpace 🧵 Byet Host 🧭 Bitbucket

File System

🔥 The definitive NMAP guide is here everything hackers, pentesters, and defensive teams need to know. 🔥