Random url

Author: c | 2025-04-24

URL Randomization Tools. Our random URL generator allows you to effortlessly create random URLs tailored to your needs. Whether you're looking to generate a single random url or a list of random urls, our tool provides a seamless experience. Use our url randomizer to explore endless possibilities and generate random url lists quickly. Generate a random URL. Latest version: 1.0.0, last published: 9 years ago. Start using random-url in your project by running `npm i random-url`. There is 1 other project in the npm registry using random-url.

bendrucker/random-url: Generate a random URL - GitHub

In the vast universe of online videos, the thrill of discovery is unparalleled. Our Random YouTube Video Url Generator is here to add an element of surprise to your video-watching experience. With each click, embark on a journey into uncharted content territories.Key Features: Unpredictable Exploration: Experience the joy of discovering videos you might not encounter through traditional means with our random and unique video url. User-Friendly: A simple click generates a random video url, taking you directly to a YouTube video waiting to be explored. How It Works: Click "Generate Random Youtube Video Url": Watch as our tool creates a completely unique YouTube video url. Discover New Content: The generated URL leads you to a video you may not have found otherwise, embracing the excitement of the unknown. Share the Adventure: Share the generated URL with friends, inviting them to join in the thrill of discovering fresh and unique content. Why Choose Our Generator? Endless Possibilities: The tool opens the door to a world of videos you may not have discovered through conventional methods. Surprise Element: Every click is a new adventure, offering a surprise video-watching experience. Shareable URLs: Spread the joy of discovery by sharing the generated URLs with others.

Generate random URLs - Random Lists

Details.redirect_uri=: This is the URL where the user will be redirected back to after the authorization flow is complete. This URL must match one of the redirect URLs you registered with your application.scope=: This is a list of scopes that your application is requesting access to. The user will be asked to consent to these scopes before continuing.state=: This is a random string that you generate and include in the query parameters. The SSO will return this string in the redirect URL, and you must verify that it matches the one you sent to prevent CSRF attacks.Code Payload: The payload that is sent to the token endpoints is a form-encoded body containing the following parameters:grant_type=authorization_code: This tells the SSO that you are exchanging an authorization code for an access token.code=: This is the authorization code that was received from the SSO.code_verifier=: This is the code verifier that was used to generate the code challenge.client_id=: This is the client ID you received when registering your application, and identifies your application with the login request. The SSO will use this to look up your application's details.Creating a code challenge: The code challenge is generated by hashing the code verifier using the SHA-256 algorithm, and then base64url encoding the result. The code verifier is a random string that the application generates and keeps secret.To create a code verifier, you generate 32 random bytes of data and base64 url-encode them. Store this verifier as you'll need it later to exchange the authorization code for

Random URL and Image Opener

Maybank2u PayIntegrate The New Maybank2u Pay with Popular E-Commerce WooCommerce.Please note that this Repository will not be supported & updated.System RequirementsPHP 5.6 & 7.0. PHP 7.1 and newer version are not supported due to Maybank SDK issues.Mod Rewrite EnabledSSL/TLS EnabledCloudFlare/Any Reverse Proxy Services Are Not Supported. If the domain is behind CloudFlare, install it on Subdomain and turn off CloudFlare for the Subdomain or use Page Rule to exclude specific directory from CloudFlare.OverviewYou need 2 Installation. The first one is for "The System" to be installed and the second one is for Integration with WooCommerce.For "The System", you may need to have 2 separate installation directory/subdomain for User Acceptance Test and Production.1. System InstallationDownload this repositoryCreate database and import m2u.sqlConfigure config.phpCopy all files in folder M2U-Pay-API to your public facing directoryDoneConfigurationDatabase InformationBelow is recommended value:DB Server: localhostDB Port: 3306DB Name: Your Database NameDB Prefix: m2u_DB Username: Your Database UsernameDB Password: Your Database PasswordSystem InformationSystem URL: (Must end with trailing slash "/")Development Mode: falseSignature: Any Random Character (Low-Case)Maybank2u Pay InformationPayee Code: (Refer Maybank2u Pay Site)Mode:UAT - for User Acceptance TestPRODUCTION - for Production UseCallback ID: Any Random Character (Low-Case)Bill SettingsBill ID Length: 8Bill Expiry: 10 (for 10 Minutes)2. WooCommerce InstallationDownload this repositoryUpload the folder m2upay-for-woocommerce to wp-content/plugins folderActivate pluginDoneConfigurationM2upay Payment GatewayEndpoint URL: Same with System URLSignature: Same with SignatureRegister with Maybank2u PayMake sure you provide VALID SSL/TLS CertificateCallback URL: SYSTEM URL + callback/ + Callback IDExample: may have 2 Installation for both UAT and ProductionWait until you get Payee Code UAT code and update on config.php fileOnce done, **try to make a payment **using on your configured WooCommerce site.Inform them **if **the payment is successWait for the Production Payee CodeIn-case you installed "The System" two times (1 for UAT, 1 for Production), then, you need to update the Production Payee Code. URL Randomization Tools. Our random URL generator allows you to effortlessly create random URLs tailored to your needs. Whether you're looking to generate a single random url or a list of random urls, our tool provides a seamless experience. Use our url randomizer to explore endless possibilities and generate random url lists quickly.

random external urls - WordPress.org

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How To: Generate Random URL

Analysis (EDA) techniques to analyze and preprocess the dataset.• Segment the dataset into training and testing sets.• Implement various machine learning and deep neural network algorithms, including Decision Tree, Random Forest, Multilayer Perceptrons, XGBoost, Autoencoder Neural Networks, and Support Vector Machines.• Create code to display evaluation results based on accuracy metrics.• Compare the performance of trained models and determine the superior approach.Procedure1️⃣ Pre-install all the required libraries 1) Tensoflow 2) Numpy 3) Pandas 4) SciKit-Learn2️⃣ Understand the dataset• Datasets containing phishing and legitimate websites is collected from open-source platform PhishTank.click here!• This service provide a set of phishing URLs in multiple formats like csv, json etc. that gets updated hourly.From this dataset, 5000 random phishing URLs are collected to train the machine learning models.• The legitimate URLs are obatined from the open datasets of the University of New Brunswick, click here!.This dataset has a collection of benign, spam, phishing, malware & defacement URLs. Out of all these types, the benign url dataset is considered for this project.From this dataset, 5000 random legitimate URLs are collected to train the ML models.3️⃣ Feature ExtractionThe below-mentioned category of features are extracted from the URL data: ​Addressed Bar-based features​• In this category, 9 features are extracted.​Domain-based Features​• In this category, 4 features are extracted.​HTML & Javascript-based Features​• In this category, 4 features are extracted. ​So, all together 17 features are extracted from the 10,000 URL dataset and are stored in '5.urldata.csv' file in the Data Files folder​4️⃣ Build and train the modelBefore starting the ML model training, the data is split into 80-20, i.e., 8000 training samples & 2000 testing samples. From the dataset, it is clear that this is a supervised machine-learning task.This data set comes under a classification problem, as the input URL is classified as phishing (1) or legitimate (0). ​The supervised machine learning models (classification) considered to train the dataset in this project are:• Decision Tree• Random Forest• Multilayer Perceptrons• XGBoost• Autoencoder Neural Network• Support Vector MachinesTesing and Training accuracyWe did 50 epochs, to get a good accuracy from the XGBoost model i.e. 86.7% for training accuracy and 85.8% for testing accuracy. ResultFrom the obtained results of the above models, XGBoost & RFM Classifier has highest model performance of 86.7%. So the model is saved to the file 'XGBoostClassifier.pickle.dat'

Redirects the user to a random URL from a list of URLs

An application could rewrite the URL contoso.com/page.aspx as contoso.com/{GUID}/page.aspx, where {GUID} is random and unique for each user session. Given that there are 2 128 possible GUID values, it is fantastically unlikely that an attacker would be able to guess a valid one, so presumably he would not be able to craft and e-mail a valid (and poisoned) URL.ASP.NET already has similar functionality built in as part of its cookieless session-handling capability. Because some users can't or won't accept HTTP cookies, ASP.NET can be configured to store the user's session ID in the URL instead. You can enable this with a simple change to your web.config file:On further inspection, however, we see that this approach does not really mitigate any of the security vulnerabilities that we're concerned about, like XSS. The attacker may not be able to guess a valid session GUID, but he doesn't actually have to. He can start his own session, get a valid session ID, and then lure a victim into using that session by e-mailing the URL.Even though another user is using that session, the attacker is not prevented from using it simultaneously and stealing the victim's private data. The application has no accurate way to determine that two different people are using the same session—certainly it could check the incoming IP address, but there are many scenarios in which a single user's IP address changes legitimately from request to request or multiple users share the same IP address. This attack is called a session fixation attack and is one of the reasons why using cookieless session management is generally not recommended.A Better Solution: Canary URLsWe can greatly improve the effectiveness of the personalized-URL approach by making one small change. Instead of using the URL to store the session ID, we store the session ID in a cookie as usual and use the URL to store a secret shared between the client and the server. We modify the URL rewriting code to store a per-session, unique, and random value both in session state and as part of the URL:// create the shared secret Guid secret = Guid.NewGuid(); Session["secret"] = secret; // rewrite the URL to include the secret value ...(The code required to actually rewrite the URL and parse incoming values is beyond the scope of this article. ASP.NET MVC can be used for this purpose, and Scott Guthrie has also blogged about ASP.NET URL rewriting techniques.)On any request, we compare the value of the GUID stored in the URL to the one stored in session state. If they don't match, or if the GUID is missing from the URL, the request is considered malicious, it is blocked, and the originating IP address is logged. This shared-secret defense (also referred to as a canary defense) has long been the recommended approach to preventing XSRF attacks, but as you can see, it does a pretty good job of mitigating reflected XSS vulnerabilities as well by cutting off the e-mail propagation vector.It's important to note that this. URL Randomization Tools. Our random URL generator allows you to effortlessly create random URLs tailored to your needs. Whether you're looking to generate a single random url or a list of random urls, our tool provides a seamless experience. Use our url randomizer to explore endless possibilities and generate random url lists quickly. Generate a random URL. Latest version: 1.0.0, last published: 9 years ago. Start using random-url in your project by running `npm i random-url`. There is 1 other project in the npm registry using random-url.