54.85.252.51

As of: Jun 13, 2024 12:53am UTC | Latest

Host

Attribute Value
ip 54.85.252.51
location.continent North America
location.country United States
location.country_code US
location.city Ashburn
location.postal_code 20147
location.timezone America/New_York
location.province Virginia
location.coordinates.latitude 39.04372
location.coordinates.longitude -77.48749
location_updated_at 2024-06-08T10:52:02.909642325Z
autonomous_system.asn 14618
autonomous_system.description AMAZON-AES
autonomous_system.bgp_prefix 54.84.0.0/15
autonomous_system.name AMAZON-AES
autonomous_system.country_code US
autonomous_system_updated_at 2024-06-08T10:52:02.909815698Z
whois.network.handle AMAZON-2011L
whois.network.name Amazon Technologies Inc.
whois.network.cidrs 54.64.0.0/11
whois.network.created 2014-06-20T00:00:00Z
whois.network.updated 2021-02-10T00:00:00Z
whois.network.allocation_type ALLOCATION
whois.organization.handle AT-88-Z
whois.organization.name Amazon Technologies Inc.
whois.organization.street 410 Terry Ave N.
whois.organization.city Seattle
whois.organization.state WA
whois.organization.postal_code 98109
whois.organization.country US
whois.organization.abuse_contacts.handle AEA8-ARIN
whois.organization.abuse_contacts.name Amazon EC2 Abuse
whois.organization.abuse_contacts.email [email protected]
whois.organization.admin_contacts.handle IPMAN40-ARIN
whois.organization.admin_contacts.name IP Management
whois.organization.admin_contacts.email [email protected]
whois.organization.tech_contacts.handle ANO24-ARIN
whois.organization.tech_contacts.name Amazon EC2 Network Operations
whois.organization.tech_contacts.email [email protected]
dns.names ec2-54-85-252-51.compute-1.amazonaws.com
dns.records.ec2-54-85-252-51.compute-1.amazonaws.com.record_type A
dns.records.ec2-54-85-252-51.compute-1.amazonaws.com.resolved_at 2024-06-09T13:45:41.084941947Z
dns.reverse_dns.names ec2-54-85-252-51.compute-1.amazonaws.com
dns.reverse_dns.resolved_at 2024-06-09T13:53:24.809277144Z
last_updated_at 2024-06-13T00:53:09.048Z
labels bootstrap
labels jquery
labels login-page

80/HTTP TCP View Definition

Attribute Value
services.banner HTTP/1.1 200 OK\r\nServer: nginx\r\nDate: <REDACTED>\r\nContent-Type: text/html; charset=utf-8\r\nContent-Length: 10786\r\nConnection: keep-alive\r\nAccess-Control-Allow-Origin: *\r\n
services.banner_hashes sha256:b22a87fa1cd57e32786ea752931cbdf6a08ea1199368a871edd409dff1ab318c
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services.discovery_method IPV4_WALK_FULL_PRIORITY_1
services.extended_service_name HTTP
services.http.request.method GET
services.http.request.uri http://54.85.252.51/
services.http.request.headers.User_Agent Mozilla/5.0 (compatible; CensysInspect/1.1; +https://about.censys.io/)
services.http.request.headers.Accept */*
services.http.response.protocol HTTP/1.1
services.http.response.status_code 200
services.http.response.status_reason OK
services.http.response.headers.Connection keep-alive
services.http.response.headers.Date <REDACTED>
services.http.response.headers.Server nginx
services.http.response.headers.Content_Length 10786
services.http.response.headers.Content_Type text/html; charset=utf-8
services.http.response.headers.Access_Control_Allow_Origin *
services.http.response.html_tags <title>Explainable ML Sales Prediction Tool</title>
services.http.response.html_tags <meta charset="utf-8" />
services.http.response.html_tags <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
services.http.response.html_tags <meta name="description" content="Explainable Machine Learning Sales Prediction Tool Documentation" />
services.http.response.html_tags <meta name="author" content="Your Name" />
services.http.response.body_size 10786
services.http.response.body <!-- index.html-->\n\n<!DOCTYPE html>\n<html lang="en">\n<head>\n <meta charset="utf-8" />\n <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />\n <meta name="description" content="Explainable Machine Learning Sales Prediction Tool Documentation" />\n <meta name="author" content="Your Name" />\n <title>Explainable ML Sales Prediction Tool</title>\n <!-- Favicon-->\n <link rel="icon" type="image/x-icon" href="static/assets/favicon.ico" />\n <!-- Bootstrap icons-->\n <link href="https://cdn.jsdelivr.net/npm/[email protected]/font/bootstrap-icons.css" rel="stylesheet" type="text/css" />\n <!-- Google fonts-->\n <link href="https://fonts.googleapis.com/css?family=Lato:300,400,700,300italic,400italic,700italic" rel="stylesheet" type="text/css" />\n <!-- Core theme CSS (includes Bootstrap)-->\n <link href="static/css/styles.css" rel="stylesheet" />\n <!-- jQuery -->\n <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>\n</head>\n<body>\n<!-- Navigation-->\n<nav class="navbar navbar-light bg-light static-top">\n <div class="container">\n <a class="navbar-brand" href="#">SALESTIMATE</a>\n <div class="ml-auto">\n <button class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#signupModal">Sign Up</button>\n <button class="btn btn-success" data-bs-toggle="modal" data-bs-target="#signinModal">Sign In</button>\n </div>\n </div>\n</nav>\n<!-- Sign Up Modal -->\n<div class="modal fade" id="signupModal" tabindex="-1" aria-labelledby="signupModalLabel" aria-hidden="true">\n <div class="modal-dialog">\n <div class="modal-content">\n <div class="modal-header">\n <h5 class="modal-title" id="signupModalLabel">Sign Up</h5>\n <button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>\n </div>\n <div class="modal-body">\n <form id="signupForm">\n <div class="mb-3">\n <label for="signupUsername" class="form-label">Username</label>\n <input type="text" class="form-control" id="signupUsername" required>\n </div>\n <div class="mb-3">\n <label for="signupEmail" class="form-label">Email address</label>\n <input type="email" class="form-control" id="signupEmail" required>\n </div>\n <div class="mb-3">\n <label for="signupPassword" class="form-label">Password</label>\n <input type="password" class="form-control" id="signupPassword" required>\n </div>\n <button type="submit" class="btn btn-primary">Sign Up</button>\n </form>\n </div>\n </div>\n </div>\n</div>\n\n<!-- Sign In Modal -->\n<div class="modal fade" id="signinModal" tabindex="-1" aria-labelledby="signinModalLabel" aria-hidden="true">\n <div class="modal-dialog">\n <div class="modal-content">\n <div class="modal-header">\n <h5 class="modal-title" id="signinModalLabel">Sign In</h5>\n <button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>\n </div>\n <div class="modal-body">\n <form id="signinForm">\n <div class="mb-3">\n <label for="signinEmail" class="form-label">Email address</label>\n <input type="email" class="form-control" id="signinEmail" required>\n </div>\n <div class="mb-3">\n <label for="signinPassword" class="form-label">Password</label>\n <input type="password" class="form-control" id="signinPassword" required>\n </div>\n <button type="submit" class="btn btn-success">Sign In</button>\n </form>\n </div>\n </div>\n </div>\n</div>\n\n\n<!-- Masthead-->\n<header class="masthead">\n <div class="container position-relative">\n <div class="row justify-content-center">\n <div class="col-xl-6">\n <div class="text-center text-white">\n <!-- Page heading-->\n <h1 class="mb-5">Explainable Machine Learning Sales Prediction Tool</h1>\n <p class="lead">Welcome to the Explainable Machine Learning Sales Prediction Tool documentation. This tool is designed to help businesses predict their sales using machine learning models while providing explanations for the predictions.</p>\n </div>\n </div>\n </div>\n </div>\n</header>\n\n\n<!-- Features and Information Section -->\n<section class="features-icons bg-light text-center">\n <div class="container">\n <div class="row">\n <div class="col-lg-4">\n <div class="features-icons-item mx-auto mb-5 mb-lg-0 mb-lg-3">\n <div class="features-icons-icon d-flex"><i class="bi-window m-auto text-primary"></i></div>\n <h3>Fully Responsive</h3>\n <p class="lead mb-0">Our tool is fully responsive and can be accessed from any device, ensuring convenience and accessibility for users.</p>\n </div>\n </div>\n <div class="col-lg-4">\n <div class="features-icons-item mx-auto mb-5 mb-lg-0 mb-lg-3">\n <div class="features-icons-icon d-flex"><i class="bi-layers m-auto text-primary"></i></div>\n <h3>Machine Learning Powered</h3>\n <p class="lead mb-0">We use state-of-the-art machine learning algorithms to provide accurate sales predictions based on your data.</p>\n </div>\n </div>\n <div class="col-lg-4">\n <div class="features-icons-item mx-auto mb-0 mb-lg-3">\n <div class="features-icons-icon d-flex"><i class="bi-terminal m-auto text-primary"></i></div>\n <h3>Explainable Predictions</h3>\n <p class="lead mb-0">Our tool not only predicts sales but also provides explanations for those predictions, helping you understand the underlying factors.</p>\n </div>\n </div>\n </div>\n </div>\n</section>\n\n<!-- Image Showcases-->\n<section class="showcase">\n <div class="container-fluid p-0">\n <div class="row g-0">\n <div class="col-lg-6 order-lg-2 text-white showcase-img" style="background-image: url('static/assets/img/forecast.jpeg')"></div>\n <div class="col-lg-6 order-lg-1 my-auto showcase-text">\n <h2>Accurate Sales Predictions</h2>\n <p class="lead mb-0">Our machine learning models provide accurate sales predictions based on historical data and market trends.</p>\n </div>\n </div>\n\n <!-- Second Image Showcase -->\n <div class="row g-0">\n <div class="col-lg-6 text-white showcase-img" style="background-image: url('static/assets/img/visualiztion.jpeg')"></div>\n <div class="col-lg-6 my-auto showcase-text">\n <h2>Data Visualization</h2>\n <p class="lead mb-0">Our tool includes interactive data visualizations, making it easy to explore your sales data.</p>\n </div>\n </div>\n\n <!-- Third Image Showcase -->\n <div class="row g-0">\n <div class="col-lg-6 order-lg-2 text-white showcase-img" style="background-image: url('static/assets/img/bg-showcase-3.jpg')"></div>\n <div class="col-lg-6 order-lg-1 my-auto showcase-text">\n <h2>User-Friendly Interface</h2>\n <p class="lead mb-0">Our user-friendly interface allows you to effortlessly navigate and use our sales prediction tool.</p>\n </div>\n </div>\n </div>\n</section>\n\n\n<!-- Footer-->\n<footer class="footer bg-light">\n <div class="container">\n <div class="row">\n <div class="col-lg-6 h-100 text-center text-lg-start my-auto">\n <ul class="list-inline mb-2">\n <li class="list-inline-item"><a href="#!">About</a></li>\n <li class="list-inline-item">⋅</li>\n <li class="list-inline-item"><a href="#!">Contact</a></li>\n <li class="list-inline-item">⋅</li>\n <li class="list-inline-item"><a href="#!">Terms of Use</a></li>\n <li class="list-inline-item">⋅</li>\n <li class="list-inline-item"><a href="#!">Privacy Policy</a></li>\n </ul>\n <p class="text-muted small mb-4 mb-lg-0">&copy; Your Company Name 2024. All Rights Reserved.</p>\n </div>\n </div>\n </div>\n</footer>\n\n<!-- Bootstrap core JS-->\n<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>\n<!-- Core theme JS-->\n<script src="static/js/scripts.js"></script>\n<!-- SB Forms JS -->\n<script src="https://cdn.startbootstrap.com/sb-forms-latest.js"></script>\n<!-- JavaScript Kodları -->\n<script>\ndocument.getElementById('signinForm').addEventListener('submit', function(e) {\n e.preventDefault();\n\n var email = document.getElementById('signinEmail').value;\n var password = document.getElementById('signinPassword').value;\n\n fetch('/signin', {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify({\n email: email,\n password: password\n })\n })\n .then(response => response.json())\n .then(data => {\n if(data.redirect_url) {\n // Sunucudan gelen yönlendirme URL'ine yönlendir\n window.location.href = data.redirect_url;\n } else {\n // Hata mesajını göster\n alert(data.message);\n }\n })\n .catch((error) => {\n console.error('Error:', error);\n });\n});\n\ndocument.getElementById('signupForm').addEventListener('submit', function(e) {\n e.preventDefault();\n\n var username = document.getElementById('signupUsername').value;\n var email = document.getElementById('signupEmail').value;\n var password = document.getElementById('signupPassword').value;\n\n fetch('/signup', {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify({\n username: username,\n email: email,\n password: password\n })\n })\n .then(response => response.json())\n .then(data => {\n if(data.redirect_url) {\n // Sunucudan gelen yönlendirme URL'ine yönlendir\n // show alert message and redirect\n alert(data.message);\n window.location.href = data.redirect_url;\n } else {\n // Hata mesajını göster\n alert(data.message);\n }\n })\n .catch((error) => {\n console.error('Error:', error);\n });\n});\n\n\n</script>\n</body>\n</html>
services.http.response.favicons.size 23462
services.http.response.favicons.name http://54.85.252.51/static/assets/favicon.ico
services.http.response.favicons.md5_hash 556f31acd686989b1afcf382c05846aa
services.http.response.favicons.hashes md5:556f31acd686989b1afcf382c05846aa
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services.http.response.favicons.shodan_hash -1907519728
services.http.response.body_hashes sha256:cca1dfbb8cc1a70310382baa1d5913828ee7e30b53d497471bf6bc968d7e58c8
services.http.response.body_hashes sha1:b2a9cbf64134da87ee35dafcf2f96c5332e4caa8
services.http.response.body_hash sha1:b2a9cbf64134da87ee35dafcf2f96c5332e4caa8
services.http.response.html_title Explainable ML Sales Prediction Tool
services.http.supports_http2 false
services.labels bootstrap
services.labels jquery
services.labels login-page
services.observed_at 2024-06-13T00:53:04.159515918Z
services.perspective_id PERSPECTIVE_ORANGE
services.port 80
services.service_name HTTP
services.software.uniform_resource_identifier cpe:2.3:a:f5:nginx:*:*:*:*:*:*:*:*
services.software.part a
services.software.vendor nginx
services.software.product nginx
services.software.other.family nginx
services.software.source OSI_APPLICATION_LAYER
services.source_ip 167.94.145.99
services.transport_protocol TCP
services.truncated false