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"resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz", + "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==", + "dependencies": { + "ansi-styles": "^4.0.0", + "string-width": "^4.1.0", + "strip-ansi": "^6.0.0" + }, + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/chalk/wrap-ansi?sponsor=1" + } + }, + "node_modules/wrappy": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz", + "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==" + }, "node_modules/y18n": { "version": "4.0.3", "resolved": "https://registry.npmjs.org/y18n/-/y18n-4.0.3.tgz", diff --git a/package.json b/package.json index a18c19b..c0658b6 100644 --- a/package.json +++ b/package.json @@ -11,11 +11,16 @@ "author": "", "license": "ISC", "dependencies": { + "@fastify/cors": "^9.0.1", + "@fastify/helmet": "^11.1.1", + "@fastify/rate-limit": "^9.1.0", + "@fastify/static": "^7.0.4", "axios": "^1.6.8", "csv": "^6.3.9", "csv-parser": "^3.0.0", "csv-writer": "^1.6.0", "fastify": "^4.27.0", + "gulp": "^5.0.0", "ip": "^2.0.1", "ip-address": "^9.0.5", "lodash": "^4.17.21", diff --git a/server.js b/server.js index b82f500..b6d3bf3 100644 --- a/server.js +++ b/server.js @@ -2,11 +2,21 @@ import Fastify from "fastify"; import helmet from "@fastify/helmet"; import rateLimit from "@fastify/rate-limit"; import cors from "@fastify/cors"; +import fastifyStatic from "@fastify/static"; +import path from "path"; +import { fileURLToPath } from "url"; + import { checkIp } from "./checkIp.js"; const fastify = Fastify(); - -await fastify.register(helmet); +const __dirname = path.dirname(fileURLToPath(import.meta.url)); +await fastify.register(fastifyStatic, { + root: path.join(__dirname, "./web/landing/dist"), +}); +await fastify.register(helmet, { + contentSecurityPolicy: false, + noSniff: false, +}); await fastify.register(rateLimit, { max: (request) => (request.headers["x-api-key"] ? 100 : 1), diff --git a/web/.DS_Store b/web/.DS_Store new file mode 100644 index 0000000..aff5296 Binary files /dev/null and b/web/.DS_Store differ diff --git a/web/landing/.DS_Store b/web/landing/.DS_Store new file mode 100644 index 0000000..2a3df76 Binary files /dev/null and b/web/landing/.DS_Store differ diff --git a/web/landing/assets/bot-detection.webp b/web/landing/assets/bot-detection.webp new file mode 100644 index 0000000..36c28dd Binary files /dev/null and b/web/landing/assets/bot-detection.webp differ diff --git a/web/landing/assets/compare.webp b/web/landing/assets/compare.webp new file mode 100644 index 0000000..53a9cf8 Binary files /dev/null and b/web/landing/assets/compare.webp differ diff --git a/web/landing/assets/daily-update.webp b/web/landing/assets/daily-update.webp new file mode 100644 index 0000000..7a10548 Binary files /dev/null and b/web/landing/assets/daily-update.webp differ diff 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++ Data center IPs are essential components of the internet's + infrastructure. For software engineers, understanding the significance + of these IPs is crucial for enhancing cybersecurity, improving website + performance, and preventing malicious activities. This article explores + the importance of data center IPs, their impact on cybersecurity, and + the benefits of monitoring and managing them effectively. +
+ ++ Data center IPs are IP addresses assigned to servers within data + centers. These servers host websites, store data, and run various + applications. Managing and monitoring these IP addresses is essential + for maintaining the integrity and security of online services. +
+ ++ Bots can be beneficial, like search engine crawlers, or harmful, like + those used for DDoS attacks and data scraping. Detecting and managing + data center IPs is vital for identifying malicious bots and preventing + them from causing harm. +
+ ++ Data center IPs are a critical aspect of internet infrastructure, + playing a significant role in cybersecurity and website performance. By + understanding their importance and implementing effective monitoring and + management strategies, software engineers can protect their systems from + malicious bots, improve traffic analysis, and enhance user experience. + Regularly updating IP databases, using detection tools, and employing + best practices like rate limiting and user verification are essential + steps in managing data center IPs effectively. +
++ Static IP lists are one of the simplest methods for detecting data + center IPs. They are easy to implement and cost-effective since they can + be maintained in-house. However, they require regular updates to stay + current, as data centers frequently change their IP addresses. This + method can quickly become outdated, leading to limited accuracy and + potential scalability issues as the list grows. +
+ ++ Third-party IP databases offer comprehensive coverage and are usually + maintained and updated by the provider. This ensures a wider range of IP + addresses and more reliable updates than static lists. However, they can + be expensive, and you depend on the provider for accuracy and timely + updates. There may also be latency in reflecting recent changes in data + center IPs. +
+ ++ Machine learning models are highly advanced and adaptable. They can + learn and respond to new patterns and data, offering high accuracy in + detecting data center IPs. However, these models require significant + expertise to develop and maintain, and they demand substantial + computational resources. Additionally, they can be costly to implement + and are best suited for situations requiring near-perfect detection. +
+ ++ Our Real-Time IP Detection API provides a balanced approach, offering + real-time accuracy by reflecting immediate changes in data center IPs. + It is easy to integrate with existing systems through simple API calls + and scales well to handle large volumes of requests. This method reduces + the burden of maintaining IP lists or developing complex models and + ensures high accuracy with up-to-date information directly from the + source. +
+ ++ While advanced tools like machine learning and fingerprinting offer + superior accuracy, they come at a high cost and complexity. If your + primary goal is to prevent bots from sending requests to your servers or + stealing your content, our API offers more than enough functionality. It + is cost-effective, highly accurate for practical purposes, and easy to + use, providing real-time updates without the need for complex and + expensive solutions. +
+ ++ Selecting the right method for detecting data center IPs depends on your + specific needs and budget. Static IP lists and third-party databases are + straightforward but struggle with accuracy and maintenance. Machine + learning models provide high precision but are resource-intensive and + costly. +
++ Our API offers a practical and cost-effective solution, combining + real-time accuracy, ease of integration, and scalability. For businesses + focused on stopping automated content theft and bot traffic, our API + provides the necessary features without the high costs and complexities + of more advanced methods. +
++ Data centers constantly evolve, adding and removing servers frequently. + This dynamic environment means that the IP addresses associated with + data centers change regularly. Keeping your IP detection data up-to-date + is crucial for accurate identification and response. +
+ ++ The dynamic nature of data centers, with their constant addition and + removal of servers, makes regular data updates essential for accurate IP + detection. By implementing automated updates, partnering with reliable + data sources, and continuously monitoring your system, you can maintain + the accuracy of your IP detection, enhance security, and reduce false + positives. Stay ahead of potential threats by ensuring your IP data + reflects the latest changes in data center infrastructure. +
+
+ You can integrate the API Data Center Check with your application by
+ making an API call to
+ https://ipdatacentercheck.com/api/ip/:ip
authorized by
+ x-api-key
. Below are examples in different programming
+ languages. The response will include the name of the data center, such
+ as {datacenter: 'AWS'}
, if the IP is from a data center, or
+ {datacenter: null}
if it is not.
+
+
+const axios = require('axios');
+
+const apiKey = 'your-api-key';
+const ip = '8.8.8.8'; // Example IP
+
+axios.get(`https://ipdatacentercheck.com/api/ip/${ip}`, {
+ headers: {
+ 'x-api-key': apiKey
+ }
+})
+.then(response => {
+ console.log(response.data); // {datacenter: 'AWS'} or {datacenter: null}
+})
+.catch(error => {
+ console.error(error);
+});
+
+
+ + Understanding whether a request comes from a server or a typical user is + essential for managing web traffic and enhancing your site's security. + Server requests, often originating from data centers or automated + scripts, can impact your website's performance and may include + activities like content scraping or automated attacks. This article + explores various methods to detect server requests and offers practical + tips for effective implementation. +
+ ++ One of the most straightforward methods to identify server requests is + through IP address analysis. Data centers typically have known IP + ranges, which can be tracked using up-to-date IP databases. +
++ Another method is to examine the User-Agent string in the HTTP request + header. The User-Agent string provides information about the client + making the request, including the browser and operating system. +
++ Behavioural analysis involves monitoring the patterns and behaviours of + requests. Automated server requests often show distinct behaviours that + differ from human users. +
++ Using real-time detection APIs can provide a robust solution for + identifying server requests. These APIs leverage multiple detection + methods, including IP analysis, User-Agent examination, and behavioural + patterns. +
++ Combining various detection methods and following best practices can + enhance the accuracy and effectiveness of identifying server requests. +
++ Effectively detecting whether a request comes from a server is crucial + for maintaining your website's performance and security. By utilizing + methods like IP address analysis, User-Agent string examination, + behavioural analysis, and real-time detection APIs, you can accurately + identify and manage server requests. Implementing these strategies and + best practices will help protect your site from unwanted automated + traffic and provide a better experience for your legitimate users. +
++ Detect and block requests from known data centers to prevent + malicious activities. +
++ Try it out by entering an API address above. +
++ To integrate our API with your application, you need to include + the provided x-api-key in your request headers. +
++ Our data center detection is highly accurate. We maintain an + extensive database of IP addresses from major data centers. You + can view the full list here. +
++ If you exceed your request limit, your requests will be + rejected. We provide response headers x-ratelimit-limit, + x-ratelimit-remaining, and x-ratelimit-reset to help you manage + your usage. +
++ Yes, we offer a free trial that allows you to make 1 request per + second. +
++ Once you create an account, you can access our support team + directly through the chat feature in your dashboard. +
++ Our data is updated daily to ensure accuracy and reliability. +
++ Yes, we offer custom plans for higher request rates. Please + contact us to discuss your specific needs and we will tailor a + solution for you. +
++ $20/month +
++ Your privacy is important to us. It is API Data Center's policy to + respect your privacy regarding any information we may collect from you + across our website, + https://www.yourwebsite.com, and + other sites we own and operate. +
+ ++ We only collect information about you if we have a reason to do so – + for example, to provide our services, to communicate with you, or to + make our services better. +
++ We collect information in three ways: if and when you provide + information to us, automatically through operating our services, and + from outside sources. Here is the information we collect: +
++ We use the information we collect in various ways, including to: +
++ We do not share your personal information with anyone except to comply + with the law, develop our products, or protect our rights. +
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+ ++ The security of your information is important to us. We use + commercially acceptable means to protect your personal information, + but remember that no method of transmission over the Internet, or + method of electronic storage is 100% secure and reliable, and we + cannot guarantee its absolute security. +
+ ++ Depending on your location, you may have the following rights + regarding your personal data: +
++ We may update our Privacy Policy from time to time. We will notify you + of any changes by posting the new Privacy Policy on this page. You are + advised to review this Privacy Policy periodically for any changes. + Changes to this Privacy Policy are effective when they are posted on + this page. +
+ ++ If you have any questions about this Privacy Policy, please contact + us. + contact us +
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++ By accessing this website, we assume you accept these terms and + conditions. Do not continue to use API Data Center if you do not agree + to all of the terms and conditions stated on this page. +
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+You must not:
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+ ++ Without prior approval and written permission, you may not create + frames around our Webpages that alter in any way the visual + presentation or appearance of our Website. +
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+ +Please read our Privacy Policy.
+ ++ We reserve the right to request that you remove all links or any + particular link to our Website. You approve to immediately remove all + links to our Website upon request. We also reserve the right to amen + these terms and conditions and it’s linking policy at any time. By + continuously linking to our Website, you agree to be bound to and + follow these linking terms and conditions. +
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+