🕸 DNS Rebinding: When the Browser Turns Against You
Imagine inviting someone into your house, and they quietly unlock a door to your private network.
That’s DNS rebinding — where the attacker tricks your browser into attacking your own LAN. 🧠🏠
🧠 What Is DNS Rebinding?
DNS rebinding is a technique that allows attackers to bypass browser security and interact with internal resources (like 192.168.x.x) by abusing how DNS works.
It turns the browser into a proxy, rebinding a domain name to a different IP — often a private one.
📘 “DNS rebinding attacks subvert the browser’s same-origin policy by making a trusted domain resolve to a local IP after initial connection.”
🔍 How It Works:
Victim visits attacker.com
The DNS server returns a public IP (so the browser allows connection)
After the page loads, the DNS record is updated (rebinding) to a private IP, like 127.0.0.1 or 192.168.1.1
Browser still trusts it — because it's from the “same origin”
Scripts from attacker.com now access your router, printer, or internal APIs 😱
🧪 Real-World Impact:
Steal sensitive data from internal dashboards
Change router DNS settings
Exploit vulnerable IoT devices on your LAN
Attack services not exposed to the internet
🛡 Defenses:
🔒 Block private IP responses on DNS resolvers (e.g., dnsmasq or cloud firewalls)
🛑 Use browser protections (modern browsers limit DNS rebinding by default)
⚙️ Disable Web access to local admin interfaces when possible
🔍 Monitor DNS behavior and HTTP requests for anomalies
📌 Fun Fact:
Even Google Home and routers have been attacked using DNS rebinding in real-world exploits.
🧩 TL;DR
DNS rebinding is like social engineering for browsers — it tricks your machine into attacking itself or your local network.
Same domain, different IP, total compromise.
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Imagine inviting someone into your house, and they quietly unlock a door to your private network.
That’s DNS rebinding — where the attacker tricks your browser into attacking your own LAN. 🧠🏠
🧠 What Is DNS Rebinding?
DNS rebinding is a technique that allows attackers to bypass browser security and interact with internal resources (like 192.168.x.x) by abusing how DNS works.
It turns the browser into a proxy, rebinding a domain name to a different IP — often a private one.
📘 “DNS rebinding attacks subvert the browser’s same-origin policy by making a trusted domain resolve to a local IP after initial connection.”
🔍 How It Works:
Victim visits attacker.com
The DNS server returns a public IP (so the browser allows connection)
After the page loads, the DNS record is updated (rebinding) to a private IP, like 127.0.0.1 or 192.168.1.1
Browser still trusts it — because it's from the “same origin”
Scripts from attacker.com now access your router, printer, or internal APIs 😱
🧪 Real-World Impact:
Steal sensitive data from internal dashboards
Change router DNS settings
Exploit vulnerable IoT devices on your LAN
Attack services not exposed to the internet
🛡 Defenses:
🔒 Block private IP responses on DNS resolvers (e.g., dnsmasq or cloud firewalls)
🛑 Use browser protections (modern browsers limit DNS rebinding by default)
⚙️ Disable Web access to local admin interfaces when possible
🔍 Monitor DNS behavior and HTTP requests for anomalies
📌 Fun Fact:
Even Google Home and routers have been attacked using DNS rebinding in real-world exploits.
🧩 TL;DR
DNS rebinding is like social engineering for browsers — it tricks your machine into attacking itself or your local network.
Same domain, different IP, total compromise.
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📁 What Is a Directory, Really?
In the OS world, a directory isn’t magic — it’s just a special file that holds tuples:
🧾 (name, i-number) — a mapping from a human-readable name to a file or directory’s low-level ID.
🔍 What’s Inside a Directory?
Each entry can point to:
A file (e.g., report.pdf → inode 1024)
Another directory (e.g., projects/ → inode 2048)
Even the directory itself has its own i-number!
📘 The OS doesn’t care about file names — only i-numbers (inode numbers).
The directory just maps human names → actual files via these numbers.
🔗 Special Entries You’ll Always Find:
. → refers to itself
.. → refers to its parent directory
These are essential for navigating the file system (e.g., cd .. to go up a level).
🧪 Example — Inside a folder called /home/user:
🧩 TL;DR
A directory is just a list of (name, i-number) pairs that map names to files or subdirectories — including itself (.) and its parent (..).
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In the OS world, a directory isn’t magic — it’s just a special file that holds tuples:
🧾 (name, i-number) — a mapping from a human-readable name to a file or directory’s low-level ID.
🔍 What’s Inside a Directory?
Each entry can point to:
A file (e.g., report.pdf → inode 1024)
Another directory (e.g., projects/ → inode 2048)
Even the directory itself has its own i-number!
📘 The OS doesn’t care about file names — only i-numbers (inode numbers).
The directory just maps human names → actual files via these numbers.
🔗 Special Entries You’ll Always Find:
. → refers to itself
.. → refers to its parent directory
These are essential for navigating the file system (e.g., cd .. to go up a level).
🧪 Example — Inside a folder called /home/user:
. → i-number 4567 (this directory)
.. → i-number 2345 (its parent)
notes → i-number 6789 (a file)
docs → i-number 8910 (a sub-directory)
🧩 TL;DR
A directory is just a list of (name, i-number) pairs that map names to files or subdirectories — including itself (.) and its parent (..).
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💞A Program Dependence Graph (PDG) is a representation of a program's control and data dependencies, using a directed graph. Nodes in the PDG represent program statements, and edges represent the relationships between those statements, showing how one statement might affect the execution of another. These dependencies are crucial for compiler optimization and analysis.
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📚 OS Concepts — Scheduling Algorithms Compared! 🧵
How does your OS decide which app runs next? Let’s compare the 4 big ones in simple terms:
🔹 1. FIFO (First-In, First-Out)
🛒 Run in the order they arrive
😐 Simple, but if a long job comes first... everyone waits!
🔹 2. SJF (Shortest Job First)
⏳ Runs the shortest task first
✅ Great for efficiency
❌ Bad for long tasks — they may never run
🔹 3. STCF (Shortest Time to Completion First)
🧠 Smarter version of SJF — but preemptive
🔁 Always picks the job with the least time left
📈 Good response time, but needs to know job lengths!
🔹 4. Round Robin
🔄 Every task gets a turn!
🕒 Each process runs for a fixed time slice (quantum)
✅ Fair for all, great for multitasking
❌ May have overhead from frequent switching
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How does your OS decide which app runs next? Let’s compare the 4 big ones in simple terms:
🔹 1. FIFO (First-In, First-Out)
🛒 Run in the order they arrive
😐 Simple, but if a long job comes first... everyone waits!
🔹 2. SJF (Shortest Job First)
⏳ Runs the shortest task first
✅ Great for efficiency
❌ Bad for long tasks — they may never run
🔹 3. STCF (Shortest Time to Completion First)
🧠 Smarter version of SJF — but preemptive
🔁 Always picks the job with the least time left
📈 Good response time, but needs to know job lengths!
🔹 4. Round Robin
🔄 Every task gets a turn!
🕒 Each process runs for a fixed time slice (quantum)
✅ Fair for all, great for multitasking
❌ May have overhead from frequent switching
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🎯 What Can Be Done via Syscall Hijacking?
1) Hide files, processes, or network connections
2) Escalate privileges
3) Bypass security checks
4) Intercept credentials or sensitive data
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1) Hide files, processes, or network connections
2) Escalate privileges
3) Bypass security checks
4) Intercept credentials or sensitive data
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🧠 1. Soft Updates (SU)
🔍 What is it?
Soft Updates are a technique to maintain on-disk consistency without using journaling.
Instead of logging changes, the system orders metadata writes carefully so that the disk is always in a consistent state, even after a crash.
✅ Key Idea:
💡 If a file is deleted, don't free its blocks until the inode is updated.
💡 If a file is created, update the directory only after writing the inode.
📌 Benefit:
Faster than journaling
Reduces redundant writes
Ensures metadata correctness
❗️Downside:
Complex implementation
Doesn’t protect file data, only metadata
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🔍 What is it?
Soft Updates are a technique to maintain on-disk consistency without using journaling.
Instead of logging changes, the system orders metadata writes carefully so that the disk is always in a consistent state, even after a crash.
✅ Key Idea:
💡 If a file is deleted, don't free its blocks until the inode is updated.
💡 If a file is created, update the directory only after writing the inode.
📌 Benefit:
Faster than journaling
Reduces redundant writes
Ensures metadata correctness
❗️Downside:
Complex implementation
Doesn’t protect file data, only metadata
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🧠 What’s the Thompson Compiler Backdoor?
Ken Thompson (co-creator of Unix) showed how a compiler itself can be modified to insert a backdoor — without that backdoor appearing in any source code.
🧪 How It Works:
1️⃣ Modify the compiler to recognize when it's compiling login and inject a backdoor (e.g., accept a secret password)
2️⃣ ALSO modify the compiler to recognize when it’s compiling itself — and reinject the malicious behavior
3️⃣ Result: Even if someone recompiles the compiler from clean source, the backdoor reappears automatically!
😱 So the source code can look 100% clean… but the compiled output is still malicious.
🛑 Why It’s Scary:
Completely invisible in source audits
Infects every binary built with the backdoored compiler
Trust becomes recursive: You must trust the thing that builds the thing
🛡 Modern Relevance & Mitigations:
✅ Reproducible builds — verify binaries match the source
✅ Bootstrapping from trusted roots
✅ Open-source compiler ecosystems with verifiable toolchains
Ken’s lesson?
“You can’t trust code you did not totally create yourself.”
A timeless reminder in the age of supply chain attacks.
#CyberSecurity #CompilerBackdoor #KenThompson #TrustingTrust #SupplyChainSecurity #Backdoors #InfoSec #HackingHistory #SecureCoding #OpenSourceTrust
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Ken Thompson (co-creator of Unix) showed how a compiler itself can be modified to insert a backdoor — without that backdoor appearing in any source code.
🧪 How It Works:
1️⃣ Modify the compiler to recognize when it's compiling login and inject a backdoor (e.g., accept a secret password)
2️⃣ ALSO modify the compiler to recognize when it’s compiling itself — and reinject the malicious behavior
3️⃣ Result: Even if someone recompiles the compiler from clean source, the backdoor reappears automatically!
😱 So the source code can look 100% clean… but the compiled output is still malicious.
🛑 Why It’s Scary:
Completely invisible in source audits
Infects every binary built with the backdoored compiler
Trust becomes recursive: You must trust the thing that builds the thing
🛡 Modern Relevance & Mitigations:
✅ Reproducible builds — verify binaries match the source
✅ Bootstrapping from trusted roots
✅ Open-source compiler ecosystems with verifiable toolchains
Ken’s lesson?
“You can’t trust code you did not totally create yourself.”
A timeless reminder in the age of supply chain attacks.
#CyberSecurity #CompilerBackdoor #KenThompson #TrustingTrust #SupplyChainSecurity #Backdoors #InfoSec #HackingHistory #SecureCoding #OpenSourceTrust
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📚 OS Concepts — Inode vs Superblock Explained! 🧵
Ever wonder how your OS keeps track of files & the whole disk? Let’s break down inode vs superblock 👇
🔹 Inode = File Metadata
📁 One inode per file/dir
✅ Stores:
Size, owner, permissions
Timestamps
Pointers to file data blocks
❌ Does NOT store the file name!
🔹 Superblock = File System Metadata
💽 One per file system
✅ Stores:
File system type (ext4, etc.)
Total/free blocks & inodes
Block size
Mount info
🧠 Analogy:
🧾 Inode = Info about 1 document
📚 Superblock = Table of contents of the entire filing cabinet
📌 TL;DR:
Inode = per file
Superblock = per file system
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Ever wonder how your OS keeps track of files & the whole disk? Let’s break down inode vs superblock 👇
🔹 Inode = File Metadata
📁 One inode per file/dir
✅ Stores:
Size, owner, permissions
Timestamps
Pointers to file data blocks
❌ Does NOT store the file name!
🔹 Superblock = File System Metadata
💽 One per file system
✅ Stores:
File system type (ext4, etc.)
Total/free blocks & inodes
Block size
Mount info
🧠 Analogy:
🧾 Inode = Info about 1 document
📚 Superblock = Table of contents of the entire filing cabinet
📌 TL;DR:
Inode = per file
Superblock = per file system
#OS #Inode #Superblock #FileSystem #StorageManagement #InfoSecTube
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💮a NOP slide is a sequence of NOP (no-operation) instructions that is inserted at the beginning of a code section. When a program branches to the start of this code section, it will "slide" through the NOP instructions until it reaches the desired, final destination. This technique is commonly used in software exploits to direct program execution when the target of a branch instruction is not known precisely.
💉For example, suppose an attacker has found a buffer overflow vulnerability in a program and wants to exploit it to execute arbitrary code. They might insert a NOP slide at the start of the buffer, followed by the code they want to execute. When the program overflows the buffer and branches to the start of the buffer, it will slide through the NOP instructions until it reaches the attacker's code, which will then be executed.
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💉For example, suppose an attacker has found a buffer overflow vulnerability in a program and wants to exploit it to execute arbitrary code. They might insert a NOP slide at the start of the buffer, followed by the code they want to execute. When the program overflows the buffer and branches to the start of the buffer, it will slide through the NOP instructions until it reaches the attacker's code, which will then be executed.
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🦚S/MIME stands for Secure/Multipurpose Internet Mail Extensions. It is a widely adopted email encryption and digital signing standard used primarily in corporate and government environments.
📧 What Does S/MIME Do?
S/MIME provides two main security features for email:
🔐 Encryption – Ensures that only the intended recipient can read the message
✍️ Digital Signature – Verifies the identity of the sender and ensures message integrity
🧠 How S/MIME Works
S/MIME uses X.509 digital certificates and public key cryptography:
You have a public-private key pair
Your S/MIME certificate includes your public key, issued by a trusted Certificate Authority (CA)
✅ Sending a Signed Email:
You sign the email with your private key
The recipient verifies the signature using your public key from your S/MIME certificate
✅ Sending an Encrypted Email:
You encrypt the message using the recipient’s public key
Only the recipient can decrypt it using their private key
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📧 What Does S/MIME Do?
S/MIME provides two main security features for email:
🔐 Encryption – Ensures that only the intended recipient can read the message
✍️ Digital Signature – Verifies the identity of the sender and ensures message integrity
🧠 How S/MIME Works
S/MIME uses X.509 digital certificates and public key cryptography:
You have a public-private key pair
Your S/MIME certificate includes your public key, issued by a trusted Certificate Authority (CA)
✅ Sending a Signed Email:
You sign the email with your private key
The recipient verifies the signature using your public key from your S/MIME certificate
✅ Sending an Encrypted Email:
You encrypt the message using the recipient’s public key
Only the recipient can decrypt it using their private key
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🔴 تکنیکهای پیشرفته کشسازی در معماری سیستمها
🔸 افزایش سرعت دسترسی به دادهها، در بسیاری از سیستمها به کمک حافظه کش (Cache) امکانپذیر شده است. اما پیادهسازی دقیق و مؤثر کش، به دانش تخصصیتری نیاز دارد.
🔹 کش میتواند در لایههای مختلفی مثل CPU، دیسک، شبکه یا حتی سمت سرورهای API پیادهسازی شود. برای مثال، در طراحی وبسرویسها، استفاده از Redis یا Memcached به عنوان حافظه کش خارجی، بار روی دیتابیس را کاهش داده و سرعت پاسخ را افزایش میدهد. الگوهایی مانند Cache-aside، Write-through و Write-back برای مدیریت دادههای کش بسیار مهم هستند. همچنین، تعیین زمان انقضا (TTL) و invalidate کردن کش هنگام تغییر دادهها، از چالشهای اصلی محسوب میشود.
⭕️ درک عمیق از معماری کش، یکی از ارکان طراحی سیستمهای مقیاسپذیر و پرسرعت است.
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🔸 افزایش سرعت دسترسی به دادهها، در بسیاری از سیستمها به کمک حافظه کش (Cache) امکانپذیر شده است. اما پیادهسازی دقیق و مؤثر کش، به دانش تخصصیتری نیاز دارد.
🔹 کش میتواند در لایههای مختلفی مثل CPU، دیسک، شبکه یا حتی سمت سرورهای API پیادهسازی شود. برای مثال، در طراحی وبسرویسها، استفاده از Redis یا Memcached به عنوان حافظه کش خارجی، بار روی دیتابیس را کاهش داده و سرعت پاسخ را افزایش میدهد. الگوهایی مانند Cache-aside، Write-through و Write-back برای مدیریت دادههای کش بسیار مهم هستند. همچنین، تعیین زمان انقضا (TTL) و invalidate کردن کش هنگام تغییر دادهها، از چالشهای اصلی محسوب میشود.
⭕️ درک عمیق از معماری کش، یکی از ارکان طراحی سیستمهای مقیاسپذیر و پرسرعت است.
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🧟 Zombie State
After a process exits, it can stay in a zombie state until its parent "waits" for it.
Purpose: Let parent check exit status.
Once parent collects status, the OS can clean up.
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After a process exits, it can stay in a zombie state until its parent "waits" for it.
Purpose: Let parent check exit status.
Once parent collects status, the OS can clean up.
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🐞In source code, the term "lexed" refers to the process of converting the code's raw text into a stream of tokens. This is a fundamental step in compilation or interpretation, done by a program called a lexer or scanner. Lexing breaks down the source code into meaningful units, like keywords, identifiers, operators, and literals, which are then used by the parser to understand the code's structure.
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🦚IPSec, or Internet Protocol Security, is a set of protocols used to secure communication over IP networks. It works by encrypting and authenticating IP packets to ensure confidentiality, integrity, and source authentication of data. IPSec is commonly used in virtual private networks (VPNs) to create secure tunnels for data transmission.
Two Modes:
IPSec has two primary modes of operation:
Transport Mode: Encrypts and authenticates only the IP payload (the actual data), leaving the IP header untouched.
Tunnel Mode: Encrypts and authenticates the entire IP packet, including the header, creating a secure tunnel.
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Two Modes:
IPSec has two primary modes of operation:
Transport Mode: Encrypts and authenticates only the IP payload (the actual data), leaving the IP header untouched.
Tunnel Mode: Encrypts and authenticates the entire IP packet, including the header, creating a secure tunnel.
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⚓️DKOM stands for Direct Kernel Object Manipulation. It's a technique used by kernel-mode rootkits to hide their presence and subvert system operations by directly modifying the operating system's kernel data structures.
Specifically, a rootkit can use DKOM to hide processes, intercept system calls, or modify the gates between user mode and kernel mode. By altering these fundamental components, the rootkit can effectively cloak itself from detection and maintain persistent control over the system.
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Specifically, a rootkit can use DKOM to hide processes, intercept system calls, or modify the gates between user mode and kernel mode. By altering these fundamental components, the rootkit can effectively cloak itself from detection and maintain persistent control over the system.
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📚 OS Concepts — What is a Bitmap in File Systems? 💾🧵
Let’s break down how operating systems track free space using one of the simplest tools: the bitmap!
🔸 What is a Bitmap?
A 0/1 vector where:
0 = block is free
1 = block is used
Each bit = 1 disk block
🔹 How it’s used in file creation:
You create a file 📝
OS checks bitmap for free bits 0 0
Allocates those blocks → updates bits to 1
🧠 Analogy:
Hotel rooms = disk blocks
Receptionist’s checklist ✅❌ = bitmap
Guest = your file
Reception assigns free rooms → marks as taken ✅
📌 Why it rocks:
Fast, simple, efficient
Easy to update
Visual & compact
#OS #Bitmap #FileSystem #DiskAllocation #StorageManagement #InfoSecTube
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Let’s break down how operating systems track free space using one of the simplest tools: the bitmap!
🔸 What is a Bitmap?
A 0/1 vector where:
0 = block is free
1 = block is used
Each bit = 1 disk block
🔹 How it’s used in file creation:
You create a file 📝
OS checks bitmap for free bits 0 0
Allocates those blocks → updates bits to 1
🧠 Analogy:
Hotel rooms = disk blocks
Receptionist’s checklist ✅❌ = bitmap
Guest = your file
Reception assigns free rooms → marks as taken ✅
📌 Why it rocks:
Fast, simple, efficient
Easy to update
Visual & compact
#OS #Bitmap #FileSystem #DiskAllocation #StorageManagement #InfoSecTube
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🌐 What Is an FQDN?
An FQDN is the complete domain name of a specific computer, host, or service on the internet (or a private network). It uniquely identifies a device by including all levels of the domain name hierarchy, from the hostname to the top-level domain (TLD).
🧱 FQDN Structure
✅ Example:
www.example.com.
www = hostname
example = domain
com = top-level domain (TLD)
The trailing dot (.) is optional in most uses—it marks the root of the DNS system.
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An FQDN is the complete domain name of a specific computer, host, or service on the internet (or a private network). It uniquely identifies a device by including all levels of the domain name hierarchy, from the hostname to the top-level domain (TLD).
🧱 FQDN Structure
<hostname>.<domain>.<top-level domain>
✅ Example:
www.example.com.
www = hostname
example = domain
com = top-level domain (TLD)
The trailing dot (.) is optional in most uses—it marks the root of the DNS system.
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🔴 سامانههای Low-Code؛ انقلاب در توسعه نرمافزار
🔸 در دنیای توسعه نرمافزار، سرعت و سادگی به اولویت تبدیل شدهاند. سامانههای Low-Code با حذف پیچیدگی کدنویسی سنتی، این امکان را به توسعهدهندگان و حتی افراد غیر فنی میدهند تا نرمافزارهایی قابل اجرا طراحی کنند.
🔹 پلتفرمهای Low-Code مانند OutSystems، Mendix و Microsoft PowerApps، ابزارهایی گرافیکی با قابلیت Drag-and-Drop برای ساخت سریع اپلیکیشنها ارائه میدهند. این فناوری بهخصوص در سازمانهایی که نیاز به توسعه سریع و تغییرات مداوم دارند، محبوبیت پیدا کرده است. با این حال، برای پروژههای پیچیده همچنان نیاز به توسعهدهندگان حرفهای باقی میماند تا منطقهای پیچیده تجاری یا نیازهای امنیتی پیشرفته را پیادهسازی کنند.
⭕️ فناوری Low-Code در مسیر دموکراتیزهسازی توسعه نرمافزار گام بزرگی برداشته است.
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🔸 در دنیای توسعه نرمافزار، سرعت و سادگی به اولویت تبدیل شدهاند. سامانههای Low-Code با حذف پیچیدگی کدنویسی سنتی، این امکان را به توسعهدهندگان و حتی افراد غیر فنی میدهند تا نرمافزارهایی قابل اجرا طراحی کنند.
🔹 پلتفرمهای Low-Code مانند OutSystems، Mendix و Microsoft PowerApps، ابزارهایی گرافیکی با قابلیت Drag-and-Drop برای ساخت سریع اپلیکیشنها ارائه میدهند. این فناوری بهخصوص در سازمانهایی که نیاز به توسعه سریع و تغییرات مداوم دارند، محبوبیت پیدا کرده است. با این حال، برای پروژههای پیچیده همچنان نیاز به توسعهدهندگان حرفهای باقی میماند تا منطقهای پیچیده تجاری یا نیازهای امنیتی پیشرفته را پیادهسازی کنند.
⭕️ فناوری Low-Code در مسیر دموکراتیزهسازی توسعه نرمافزار گام بزرگی برداشته است.
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🧭 Why Use Threads?
✅ 1. Parallelism
Split CPU-intensive tasks (e.g., processing large arrays) across multiple cores
✅ 2. Avoid Blocking
While one thread waits for I/O (e.g., disk or network), others can keep working
🧠 Threads allow better resource utilization, especially on multi-core systems or I/O-heavy apps.
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✅ 1. Parallelism
Split CPU-intensive tasks (e.g., processing large arrays) across multiple cores
✅ 2. Avoid Blocking
While one thread waits for I/O (e.g., disk or network), others can keep working
🧠 Threads allow better resource utilization, especially on multi-core systems or I/O-heavy apps.
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🕸Fundamental Goals of Computer Security
Confidentiality: Protect data from unauthorized access.
Integrity: Ensure data/software/hardware is unaltered by unauthorized parties.
Authorization: Limit access to approved entities.
Availability: Ensure resources are accessible to authorized users.
Authentication: Confirm identity of entities and data sources.
Accountability: Track and link actions to responsible entities.
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Confidentiality: Protect data from unauthorized access.
Integrity: Ensure data/software/hardware is unaltered by unauthorized parties.
Authorization: Limit access to approved entities.
Availability: Ensure resources are accessible to authorized users.
Authentication: Confirm identity of entities and data sources.
Accountability: Track and link actions to responsible entities.
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❤1👍1
Q: Why is return-to-libc considered a stealthier exploitation method compared to traditional shellcode injection?
A:Return-to-libc exploits use legitimate library functions (e.g., system()) already present in memory, bypassing restrictions like non-executable stack protections and avoiding direct code injection. This makes detection harder and evades many signature-based defenses.
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A:
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