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Hackernoon

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Hack Your App Before Hackers Do: 2025's Mobile Pentesting Playbook

The handbook provides a step-by-step tutorial on pentesting mobile apps in 2025, including tools setup, information gathering, static analysis, dynamic analysis, API testing, local data storage analysis, reverse engineering, code injection, and reporting.
Tools like ADB, JADX, APKTool, MobSF, Burp Suite, and Frida are recommended for various stages of mobile app pentesting.
Various techniques including API call interception, SSL pinning bypass, dynamic testing, and API security testing using tools like Curl and Burp Suite are covered.
The importance of organized reporting following OWASP MASVS standards, documenting findings with tools like Dradis or Faraday, and common mobile vulnerabilities such as insecure storage, hardcoded secrets, and code injection are highlighted.

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Hackernoon

302

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Argon2 in Practice: How to Implement Secure Password Hashing in Your Application

Argon2 is a memory-hard password hashing algorithm designed to enhance security by using large amounts of memory while hashing, making it difficult for attackers to crack passwords.
Argon2 outshines older algorithms like bcrypt and PBKDF2 by offering memory-hardness, tunable parameters, and defense-in-depth against various attacks.
Implementing Argon2 involves choosing from its three variants - Argon2d, Argon2i, and Argon2id - based on specific use cases and requirements.
Selecting the appropriate Argon2 library for your programming language is crucial to ensure a secure and efficient implementation.
The implementation process includes steps like generating a cryptographically secure salt, setting up Argon2 parameters, and calling the Argon2 hash function.
Verifying passwords securely involves matching parameters and salts to hash the plain password and comparing the resulting hash with the stored hash using constant-time comparison.
Best practices for implementing Argon2 include not storing raw parameters separately, benchmarking with real production hardware, evolving parameters over time, and setting a maximum password length.
Testing and validating your Argon2 implementation involves conducting basic unit tests, stress testing for performance and memory consumption, and being aware of common testing pitfalls.
Security is an ongoing process, and it's essential to stay updated on security best practices and evaluate your Argon2 implementation periodically for adjustments.
For further resources on Argon2 and password security, exploring official documentation, cryptographic tools, and resources like OWASP can provide valuable insights.

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Dev

202

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Indexing in MySQL for PHP Developers: Do’s and Don’ts

MySQL indexing is a crucial aspect for PHP developers to optimize database performance.
Indexing helps in quick searching and retrieval of data by creating a structured way of accessing information.
Dos of MySQL indexing include indexing columns used in WHERE, ORDER BY, and GROUP BY clauses.
Utilizing composite indexes for multiple column queries can enhance performance.
Indexing foreign keys speeds up join processes for table relationships.
Regularly analyzing queries with EXPLAIN and optimizing indexes is essential for efficient database operations.
Avoid over-indexing to prevent negative impacts on INSERT, UPDATE, and DELETE operations.
Avoid indexing columns with low cardinality and high repetition for better efficiency.
Be cautious when using functions or expressions in WHERE clauses to ensure effective index utilization.
Consider data types compatibility for indexed columns to prevent MySQL from using a complete table scan.

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Hackernoon

288

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Why I Rebuilt My Team’s Entire Data Stack and Would Do It Again

The author shares their experience of rebuilding their team's data stack after encountering discrepancies in reports, highlighting the importance of trust in data.
The overhaul was driven by the realization that the issue was with the data pipeline, which was a tangled mess of shadow workflows causing a lack of observability.
The transformation involved building accountability into the system, adopting federated governance with shared standards, and emphasizing observability through real-time alerts and end-to-end lineage.
The author concludes by emphasizing the need for visibility, collaboration, and treating data pipelines as products to ensure reliable, explainable, and trusted data for better decision-making.

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Javacodegeeks

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Will WebAssembly Replace Java in Serverless Environments?

WebAssembly (Wasm) excels in cold start performance with near-instant start compared to Java in serverless environments.
Java's mature ecosystem and strong tooling make it the preferred choice for many enterprise applications over WebAssembly.
Consider using WebAssembly for ultra-fast cold starts, lightweight workloads, and if you are using Rust, Go, or AssemblyScript.
While WebAssembly is gaining traction in specific areas, Java will remain dominant for monolithic serverless apps, enterprise integrations, and long-running functions.

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Dev

1.1k

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Can I Combine CSS and JavaScript Files in WordPress?

Having multiple CSS files in WordPress can slow down your website due to the increased number of requests to the server.
To combine CSS files, create a new master CSS file, copy the contents of existing files, update WordPress to use the new file, and consider minifying the CSS for improved loading times.
The same principles apply to combining JavaScript files in WordPress. Create a new master JavaScript file, combine the scripts, update WordPress to load the new file, and test functionality post-merge.
Optimizing your site further can be done by using caching plugins, CDNs, and ensuring CSS specificity and script dependencies are maintained. Combining CSS and JavaScript files can enhance website speed and SEO ranking.

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20 Likes

Medium

978

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NFT Marketplace News in 2025: How Liquid Fixed What the OpenSea CEO Overlooked

OpenSea CEO admitted that NFTs lack liquidity and flexibility, leading traders towards meme coins.
Liquid NFT Marketplace addresses NFT liquidity issues by locking 50% of mint value and using fees to grow NFT value over time.
OpenSea charges a 2.5% transaction fee on each NFT sale.
Meme coins are being added to OpenSea 2 for their liquidity and fast trading features that NFTs lacked.

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6 Likes

Medium

390

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Gemini 2.5 Pro: Your AI Superhero Unleashed!

Gemini 2.5 Pro is an advanced AI tool that handles text, images, audio, video, and code efficiently, suitable for students, coders, or anyone curious.
Gemini offers features like answering questions, analyzing images, and writing code, powered by Google's Trillium TPU, providing speed and creative solutions.
Compared to GPT-4o and Claude 3.5, Gemini excels in coding, research, and multimodal capabilities, making complex tasks simple and efficient.
Gemini 2.5 Pro is transforming lives by enabling quick game development and providing step-by-step explanations for complex subjects like calculus.

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23 Likes

Medium

261

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Hello, my name is Eva

The hospitality industry is incorporating AI-powered interactive kiosks with voice and face recognition technology to enhance guest experiences.
These AI-powered kiosks are revolutionizing the check-in and check-out processes, offering faster, more efficient, and personalized services to hotel guests.
They provide personalized experiences by accessing guests' past preferences, room preferences, special requests, and loyalty program status.
The integration of AI-powered kiosks in the hospitality industry ensures competitiveness, meets current demands, and prepares for future advancements in guest experience and operational efficiency.

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15 Likes

Medium

320

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Hello, my name is Eva -I’m ChatGPT with a friendly face

The hospitality industry is adopting AI-powered interactive kiosks with voice and face recognition technology to enhance guest experiences.
These AI kiosks revolutionize traditional check-in/out processes, offering faster, more efficient, and personalized services like ChatGPT with a friendly face.
A key feature of AI kiosks is their ability to provide personalized experiences by accessing guests' preferences, special requests, and loyalty program status.
The integration of AI kiosks in hotels ensures competitiveness by meeting current service demands and preparing for future advancements in guest experience and operational efficiency.

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19 Likes

Dev

288

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How to Sync Two TaskListView Instances in SwiftUI?

Maintaining synchronized state across instances of TaskListView in SwiftUI is crucial for real-time data updates.
Using @ObservableObject and a shared model like TaskModel can help in ensuring state changes reflect across all instances of TaskListView.
Key steps include creating a Task Model conforming to ObservableObject, updating TaskListView to use the TaskModel, and synchronizing TaskRow to relay state changes back to the TaskModel.
By implementing centralized state management with ObservableObject, SwiftUI apps can provide a seamless and efficient user experience in managing tasks across multiple instances of TaskListView.

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Self-Learning-Java

389

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Reading Request Cookies as a Map in Javalin

The context#cookieMap method returns a map with all the request cookie keys and values.
Steps to create a new Maven project 'javalin-read-request-cookies-as-map' and update the pom.xml with the necessary dependencies.
Includes the definition of JsonUtil class and main application class (App.java) with code snippets.
Demonstrates how to build and run the application, along with testing the API to read request cookies as a map.

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23 Likes

Self-Learning-Java

421

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Reading a Request Cookie by Name in Javalin

The Context#cookie method in Javalin is used to return the value of a request cookie by name.
To implement this functionality, you can create a new Maven project named 'javalin-read-request-cookie-by-name' and update the pom.xml file with the necessary Maven dependencies.
You can define a JsonUtil class to handle JSON serialization and a main application class named App.java to set up Javalin routes for reading request cookies by name.
After building the project and running the application, you can test the API using a tool like curl to verify the functionality.

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25 Likes

Self-Learning-Java

435

Few-Shot Prompting: A Beginner's Guide with Examples, Pros, and Cons

Few-shot prompting is a powerful tool for guiding Large Language Models (LLMs) like ChatGPT by providing 1 or more examples of desired input-output behavior within the prompt.
Examples of few-shot prompting include tasks like sentiment analysis and email reply generation where a few example pairs of input and output guide the model's behavior.
Advantages of few-shot prompting include flexibility in adapting to tasks, reduced effort in crafting specific prompts, and improved accuracy in generating responses.
Limitations of few-shot prompting include context window restrictions, trial and error in finding the right examples, and dependence on the quality of examples selected.

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Logrocket

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Leader Spotlight: Creating comprehensive product requirements, with Rangarakesh Kanchamreddy

Rangarakesh Kanchamreddy is VP of Product Management at Way.com, India, with experience in various companies like Jio and Idea Cellular.
He emphasizes understanding user segments, stakeholder needs, and creating differentiated experiences in product requirements.
Rangarakesh discusses balancing business needs, technical feasibility, and user experience in new product initiatives.
He shares insights on creating a standardized product requirements process using templates and early collaboration.
Rangarakesh highlights the importance of considering various user segments, lifecycles, and constraints during requirement definition.
He explains the approach taken at Way.com to offer differentiated experiences, like the Way Plus membership benefits.
The standardization of product requirements involves tools, frameworks, and templates to align teams and understand user context.
Collaboration with UX teams in creating user flows and aligning design and functionality is crucial for better user experiences.
Prioritizing user needs based on adoption rates, competition analysis, and frameworks like the eighty-ten-five-one rule is essential.
Rangarakesh emphasizes documenting decisions, tracking user interactions, and using data for informed product development choices.

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