Web Cache Deception in the Wild

Total Page:16

File Type:pdf, Size:1020Kb

Web Cache Deception in the Wild Cached and Confused: Web Cache Deception in the Wild Seyed Ali Mirheidari Sajjad Arshad∗ Kaan Onarlioglu University of Trento Northeastern University Akamai Technologies Bruno Crispo Engin Kirda William Robertson University of Trento & Northeastern University Northeastern University KU Leuven Abstract In particular, Content Delivery Network (CDN) providers Web cache deception (WCD) is an attack proposed in 2017, heavily rely on effective web content caching at their edge where an attacker tricks a caching proxy into erroneously servers, which together comprise a massively-distributed In- storing private information transmitted over the Internet and ternet overlay network of caching reverse proxies. Popular subsequently gains unauthorized access to that cached data. CDN providers advertise accelerated content delivery and Due to the widespread use of web caches and, in particular, high availability via global coverage and deployments reach- the use of massive networks of caching proxies deployed ing hundreds of thousands of servers [5,15]. A recent scien- by content distribution network (CDN) providers as a critical tific measurement also estimates that more than 74% of the component of the Internet, WCD puts a substantial population Alexa Top 1K are served by CDN providers, indicating that of Internet users at risk. CDNs and more generally web caching play a central role in We present the first large-scale study that quantifies the the Internet [26]. prevalence of WCD in 340 high-profile sites among the Alexa While there exist technologies that enable limited caching Top 5K. Our analysis reveals WCD vulnerabilities that leak of dynamically-generated pages, web caching primarily tar- private user data as well as secret authentication and autho- gets static, publicly accessible content. In other words, web rization tokens that can be leveraged by an attacker to mount caches store static content that is costly to deliver due to an ob- damaging web application attacks. Furthermore, we explore ject’s size or distance. Importantly, these objects must not con- WCD in a scientific framework as an instance of the path tain private or otherwise sensitive information, as application- confusion class of attacks, and demonstrate that variations on level access control is not enforced at cache servers. Good the path confusion technique used make it possible to exploit candidates for caching include frequently accessed images, sites that are otherwise not impacted by the original attack. software and document downloads, streaming media, style Our findings show that many popular sites remain vulnerable sheets, and large static HTML and JavaScript files. two years after the public disclosure of WCD. In 2017, Gil presented a novel attack called web cache de- Our empirical experiments with popular CDN providers ception (WCD) that can trick a web cache into incorrectly underline the fact that web caches are not plug & play tech- storing sensitive content, and consequently give an attacker nologies. In order to mitigate WCD, site operators must adopt unauthorized access to that content [23,24]. Gil demonstrated arXiv:1912.10190v2 [cs.CR] 14 Feb 2020 a holistic view of their web infrastructure and carefully con- the issue with a real-life attack scenario targeting a high pro- figure cache settings appropriate for their applications. file site, PayPal, and showed that WCD can successfully leak details of a private payment account. Consequently, WCD garnered significant media attention, and prompted responses 1 Introduction from major web cache and CDN providers [8,9,12,13,43,48]. At its core, WCD results from path confusion between an Web caches have become an essential component of the Inter- origin server and a web cache. In other words, different in- net infrastructure with numerous use cases such as reducing terpretations of a requested URL at these two points lead to bandwidth costs in private enterprise networks and accelerat- a disagreement on the cacheability of a given object. This ing content delivery over the World Wide Web. Today caching disagreement can then be exploited to trick the web cache is implemented at multiple stages of Internet communications, into storing non-cacheable objects. WCD does not imply for instance in popular web browsers [45,58], at caching prox- that these individual components—the origin server and web ies [55, 64], and directly at origin web servers [6, 46]. cache—are incorrectly configured per se. Instead, their haz- ∗Currently employed by Google. ardous interactions as a system lead to the vulnerability. As a result, detecting and correcting vulnerable systems is a cum- Ethical Considerations. We have designed our measure- bersome task, and may require careful inspection of the en- ment methodology to minimize the impact on scanned sites, tire caching architecture. Combined with the aforementioned and limit the inconvenience we impose on site operators. Sim- pervasiveness and critical role of web caches in the Internet ilarly, we have followed responsible disclosure principles to infrastructure, WCD has become a severely damaging issue. notify the impacted parties, and limited the information we In this paper, we first present a large-scale measurement share in this paper to minimize the risk of any inadvertent and analysis of WCD over 295 sites in the Alexa Top 5K. We damage to them or their end-users. We discuss details of the present a repeatable and automated methodology to discover ethical considerations pertaining to this work in Section 3.5. vulnerable sites over the Internet, and a detailed analysis of our findings to characterize the extent of the problem. Our results show that many high-profile sites that handle sensitive 2 Background & Related Work and private data are impacted by WCD and are vulnerable to practical attacks. We then discuss additional path confusion In this section, we present an overview of how web cache methods that can maximize the damage potential of WCD, deception (WCD) attacks work and discuss related concepts and demonstrate their impact in a follow-up experiment over and technologies such as web caches, path confusion, and an extended data set of 340 sites. existing WCD scanners. As of this writing, the academic To the best of our knowledge, this is the first in-depth inves- literature has not yet directly covered WCD. Nevertheless, in tigation of WCD in a scientific framework and at this scale. In this section we summarize previous publications pertaining addition, the scope of our investigation goes beyond private to other security issues around web caches and CDNs. data leakage to provide novel insights into the severity of WCD. We demonstrate how WCD can be exploited to steal other types of sensitive data including security tokens, explain 2.1 Web Caches advanced attack techniques that elevate WCD vulnerabilities Repeatedly transferring heavily used and large web objects to injection vectors, and quantify our findings through further over the Internet is a costly process for both web servers and analysis of collected data. their end-users. Multiple round-trips between a client and Finally, we perform an empirical analysis of popular CDN server over long distances, especially in the face of common providers, documenting their default caching settings and technical issues with the Internet infrastructure and routing customization mechanisms. Our findings underline the fact problems, can lead to increased network latency and result that WCD is a system safety problem. Site operators must in web applications being perceived as unresponsive. Like- adopt a holistic view of their infrastructure, and carefully wise, routinely accessed resources put a heavy load on web configure web caches taking into consideration their complex servers, wasting valuable computational cycles and network interactions with origin servers. bandwidth. The Internet community has long been aware of To summarize, we make the following contributions: these problems, and deeply explored caching strategies and • We propose a novel methodology to detect sites impacted technologies as an effective solution. by WCD at scale. Unlike existing WCD scan tools that Today web caches are ubiquitous, and are used at various— are designed for site administrators to test their own and often multiple—steps of Internet communications. For properties in a controlled environment, our methodology instance, client applications such as web browsers implement is designed to automatically detect WCD in the wild. their own private cache for a single user. Otherwise, web caches deployed together with a web server, or as a man-in- • We present findings that quantify the prevalence of WCD the-middle proxy on the communication path implement a in 295 sites among the Alexa Top 5K, and provide a shared cache designed to store and serve objects frequently detailed breakdown of leaked information types. Our accessed by multiple users. In all cases, a cache hit elimi- analysis also covers security tokens that can be stolen via nates the need to request the object from the origin server, WCD as well as novel security implications of the attack, improving performance for both the client and server. all areas left unexplored by existing WCD literature. In particular, web caches are a key component of Content Delivery Networks (CDN) that provide web performance and • We conduct a follow-up measurement over 340 sites availability services to their users. By deploying massively- among the Alexa Top 5K that show variations on the distributed networks of shared caching proxies (also called path confusion technique make it possible to successfully edge servers) around the globe, CDNs aim to serve as many exploit sites that are not impacted by the original attack. requests as possible from their caches deployed closest to • We analyze the default settings of popular CDN clients, offloading the origin servers in the process. As a re- providers and document their distinct caching behavior, sult of multiple popular CDN providers that cover different highlighting that mitigating WCD necessitates a compre- market segments ranging from simple personal sites to large hensive examination of a website’s infrastructure.
Recommended publications
  • Introduction of an Advanced Caching Layer Leveraging the Varnish Technology Stack and Integrating It to the Existing Web Platform
    Introduction of an Advanced Caching Layer Leveraging the Varnish Technology Stack and Integrating It to the Existing Web Platform Author: Irina Vasilieva Director: Jaime M. Delgado Merce June 21, 2018 Barcelona School of Informatics Universitat Polit`ecnicade Catalunya Thesis presented for the Bachelor Degree of Computer Science Abstract Web performance nowadays plays a significant role for many leading enterprises and the ones that trying to gain more visibility and users. Multiple studies and research papers in the area show that poor performance have a negative impact on business goals. An endless waiting for slow Web pages to load frus- trates demanding visitors into seeking alternatives and as a result, abandoning a website. Many different solutions and approaches came up recently to solve performance and scalability issues on the web sites. It is no surprise, that companies attempt to retain their users, improve user experience, conversions and SEO rankings to get a profitable revenue. HTTP requests reduction, file compression, in- frastructure, image optimization are some of the web performance optimization techniques, or even a combination of them, enterprises find useful for their web platforms. Varnish, an open source software, was suggested as a proxy caching server to prove that it can drastically improve hit rate and response times on the website. It can deal with performance and scalability at the highest level. In order to demonstrate the caching capability of Varnish a web platform was built based on Adobe Experience Manager with its own out of the box caching tool, named dispatcher. The main focus is to replace dispatcher and compare the web per- formance outcome.
    [Show full text]
  • Guide to Open Source Solutions
    White paper ___________________________ Guide to open source solutions “Guide to open source by Smile ” Page 2 PREAMBLE SMILE Smile is a company of engineers specialising in the implementing of open source solutions OM and the integrating of systems relying on open source. Smile is member of APRIL, the C . association for the promotion and defence of free software, Alliance Libre, PLOSS, and PLOSS RA, which are regional cluster associations of free software companies. OSS Smile has 600 throughout the World which makes it the largest company in Europe - specialising in open source. Since approximately 2000, Smile has been actively supervising developments in technology which enables it to discover the most promising open source products, to qualify and assess them so as to offer its clients the most accomplished, robust and sustainable products. SMILE . This approach has led to a range of white papers covering various fields of application: Content management (2004), portals (2005), business intelligence (2006), PHP frameworks (2007), virtualisation (2007), and electronic document management (2008), as well as PGIs/ERPs (2008). Among the works published in 2009, we would also cite “open source VPN’s”, “Firewall open source flow control”, and “Middleware”, within the framework of the WWW “System and Infrastructure” collection. Each of these works presents a selection of best open source solutions for the domain in question, their respective qualities as well as operational feedback. As open source solutions continue to acquire new domains, Smile will be there to help its clients benefit from these in a risk-free way. Smile is present in the European IT landscape as the integration architect of choice to support the largest companies in the adoption of the best open source solutions.
    [Show full text]
  • Freebsd's Firewall Feast
    SEE TEXT ONLY FreeBSD’s Firewall Feast By Michael W Lucas reeBSD is famous for all sorts of fantastic gets silently dropped, and which is sent back to features, such as ZFS, jails, bhyve virtual- the source with a letter of complaint. A packet- ization, and the Ports Collection. It’s forwarding packet filter is the original firewall. F somewhat infamous, however, for having The firewalls all have a common core feature three different firewalls: PF, IPFilter, and IPFW. set considered the minimum for a modern pack- Where did all these firewalls come from, and et filter. They can track the state of a TCP/IP con- why are they all still in the system? nection and permit traffic based on existing con- The IT industry has repeatedly abused, nections. They can all return resets or silently stretched, and tormented the word firewall to fit drop connections. All can manage non-routable all sorts of different products. When someone addresses and perform network address transla- uses firewall, ask them exactly what they’re talk- tion. They all work with lists of rules defining ing about. Do they mean a caching HTTP proxy how to respond to traffic from different IP like Squid or Varnish? A generic proxy like addresses and network ports. Incoming packets relayd? Or a TCP/IP packet filter? are compared to the list of rules until they are All of FreeBSD’s firewalls are packet filters. permitted or rejected. They control which TCP/IP addresses and ports The firewalls have their own unique features, can connect to the host.
    [Show full text]
  • Learning HTTP 2.Pdf
    L e a r n i n g H T T P/2 A PRACTICAL GUIDE FOR BEGINNERS Stephen Ludin & Javier Garza Learning HTTP/2 A Practical Guide for Beginners Stephen Ludin and Javier Garza Beijing Boston Farnham Sebastopol Tokyo Learning HTTP/2 by Stephen Ludin and Javier Garza Copyright © 2017 Stephen Ludin, Javier Garza. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com/safari). For more information, contact our corporate/insti‐ tutional sales department: 800-998-9938 or [email protected]. Acquisitions Editor: Brian Anderson Indexer: Wendy Catalano Editors: Virginia Wilson and Dawn Schanafelt Interior Designer: David Futato Production Editor: Shiny Kalapurakkel Cover Designer: Karen Montgomery Copyeditor: Kim Cofer Illustrator: Rebecca Demarest Proofreader: Sonia Saruba June 2017: First Edition Revision History for the First Edition 2017-05-14: First Release 2017-10-27: Second Release See http://oreilly.com/catalog/errata.csp?isbn=9781491962442 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Learning HTTP/2, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. While the publisher and the authors have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work.
    [Show full text]
  • Varnish Documentation Release 3.0.2
    Varnish Documentation Release 3.0.2 Varnish Project January 09, 2012 CONTENTS 1 Varnish Installation 3 1.1 Prerequisites...............................................3 1.2 Installing Varnish.............................................3 1.3 Compiling Varnish from source.....................................4 1.4 Getting hold of us............................................6 1.5 Reporting bugs..............................................7 1.6 Upgrading from Varnish 2.1 to 3.0....................................9 2 Using Varnish 13 2.1 Backend servers............................................. 13 2.2 Starting Varnish............................................. 14 2.3 Logging in Varnish............................................ 14 2.4 Sizing your cache............................................ 15 2.5 Put Varnish on port 80.......................................... 15 2.6 Varnish Configuration Language - VCL................................. 16 2.7 Statistics................................................. 18 2.8 Achieving a high hitrate......................................... 19 2.9 Cookies.................................................. 22 2.10 Vary.................................................... 23 2.11 Pitfall - Vary: User-Agent........................................ 24 2.12 Purging and banning........................................... 24 2.13 Edge Side Includes............................................ 26 2.14 Running inside a virtual machine (VM)................................. 27 2.15 Advanced Backend configuration...................................
    [Show full text]
  • Varnish Http Accelerator
    Varnish http accelerator - A 2006 software design Poul-Henning Kamp [email protected] Varnish Cheat-Sheet ● Web-accelleration for slow CMS systems ● Narrow focus on server side speedup – No FTP etc. – Content provider features ● High Performance – 32 & 64bit, large RAM, sendfile, accept filters – SMP/Multicore friendly architecture – 2006 software design – 11 syscall + 7 locks per cache hit dictionary:Varnish ● tr. v. var·nished, var·nish·ing, var·nish·es – 1. To cover with varnish. – 2. To give a smooth and glossy finish to. – 3. To give a deceptively attractive appearance to. RFC2616 and Varnish Server domain Client domain HTTP HTTP Varnish Client Origin HTTP Server cache Shared HTTP HTTP Cache Client RFC2616 origin server Private HTTP HTTP Client Cache Client Cache Situation ● Origin servers are adversarial. ● Anything the origin server says is law – ... if we can make sense of it. ● If in doubt: don't cache. ● Be semantically transparent at any cost. ● If origin server does not reply: error. Server Cache Situation ● Backend (origin server) is on our side – More precisely: We are on its side. ● We might be responsible for modifying the origin servers instructions. – Change TTL, rewrite URLs etc. ● Whatever happens: protect the backend. ● If backend does not reply: do something! Content Provider Features ● Instant URL invalidation – Regexp matching – Easy Integration to CMS system ● Each object checked max 1 time – When used next time – Many objects will expire without being checked. Content Provider Features ● Varnish Configuration Language – Full expiry time control – Load/Situation mitigation – Content substitution – URL editing ● Prefetching (v2 feature) – Inspect object usage stats – Compression for bandwidth savings Varnish Config Language ● Simple domain specific language – Compiled via C language to binary ● Transparantly handled by manager process.
    [Show full text]
  • An Introduction to Apache Traffic Server
    An introduction to Apache Traffic Server Leif Hedstrom December 2011 Who am I? • One of the drivers to open source Traffic Server (at Yahoo) • Committer for Apache Traffic Server • VP of Apache Traffic Server PMC • ASF member • Go Daddy’s Principal Architect for Hosting [email protected] @zwoop +zwoop History of Traffic Server Inktomi Yahoo Apache Traffic Server Traffic Server Traffic Server 1995 2000 2005 2010 Plenty of FOSS Proxy Servers Features ATS HAproxy nginx Squid Varnish mod_proxy Worker Threads Y N N N Y Y Multi-Process N Y Y N Y Y Event-driven Y Y Y Y sometimes Y Plugin APIs Y N Y part Y Y Forward Proxy Y N N Y N Y Reverse Proxy Y Y Y Y Y Y Transp. Proxy Y Y N Y N N Load Balancer weak Y Y Y Y Y Persistent Cache Y N Y Y sorta Y ESI Y N N Y kinda N ICP soon N N Y N N Keep-Alive Y N Y Y Y Y SSL Y N Y Y N Y Pipeline Y N Y Y N Y Mandatory useless benchmark … 120,000" 100,000" 80,000" 60,000" Throughput) 40,000" 20,000" 0" ATS"2.1.9" Nginx"0.8.53" Varnish"2.1.5" Req"/"sec" Less useless benchmark … 120,000# 4.0# 3.5# 100,000# 3.0# 80,000# 2.5# 60,000# 2.0# Throughput% 1.5# 40,000# 1.0# Time%to%first%response% 20,000# 0.5# 0# 0.0# ATS#2.1.9# Nginx#0.8.53# Varnish#2.1.5# Req#/#sec# Latency#(ms)# Intermediaries - Forward Proxy The browser (UA) is explicitly configured to use the FP server as a proxy Web site A GET http://c.com/ HTTP/1.1 Forward Web site B Proxy Browser GET / HTTP/1.1 Host: c.com Web site C Intermediaries - Reverse Proxy The reverse proxy has explicit rules for a.com, b.com and c.com.
    [Show full text]
  • Caching Techniques for High-Performance Web Map Services
    Multidisciplinary Research on Geographical Information in Europe and Beyond Proceedings of the AGILE'2012 International Conference on Geographic Information Science, Avignon, April, 24-27, 2012 ISBN: 978-90-816960-0-5 Editors: Jérôme Gensel, Didier Josselin and Danny Vandenbroucke Caching techniques for high-performance Web Map Services Alexander J. Loechel Stephan Schmid University of the Bundeswehr University of the Bundeswehr Munich, Germany Munich, Germany [email protected] [email protected] Abstract The demand for digital maps on the Internet has increased considerably in the last few years. Therefore the performance of web mapping services is becoming more and more important. This paper introduces different caching techniques for high performance serving of standardized OGC WMS. It describes and examines different caching mechanisms based on tile caching, reverse proxy caching and web application acceleration. Furthermore it demonstrates benefits and problems and data can be modified for different caching techniques. The paper outlines the advantages of WMS caching systems and investigates the behavior of these systems with an increasing number of concurrent requests using benchmarking tests. This includes the examination of applicability of the INSPIRE level of service agreement for view services. Keywords: Caching, INSPIRE, Benchmark, Generic approach, WMS 1 Introduction - Transaction time represents the time that passes while the web service is completing one complete The use of maps on web pages has increased in the last few transaction. years. Professional mapping services like Google Maps, Bing - Latency is the round-trip delay (RTD) between Maps and other companies dominate the market. The sending a request and receiving the response.
    [Show full text]
  • Web Acceleration Mechanics
    Web Acceleration Mechanics Alexander Krizhanovsky Tempesta Technologies, Inc. [email protected] Who am I? CEO at Tempesta Technologies, INC Custom software development since 2008: ● Network security: WAF, VPN, DPI etc. e.g. Positive Technologies AF, “Visionar” Gartner magic quadrant’15 ● Databases: one of the top MariaDB contributors ● Perfomance tuning Tempesta FW – Linux Application Delivery Controller Tempesta FW: Application Delivery Controller (ADC) Web accelerator Load balancing Backend connections management TLS termination Protocol downgrade Cache responses Agenda & Disclaimer Mechanics: ● HTTP connections & messages management ● HTTP decoders & parsers ● Web caches ● Network I/O ● Multitasking ● TLS The web accelerators are mentioned only as implementation examples Some software is just more familiar to me HTTP connections & messages management Server connections New connections or persistent connections (usual) HTTP keep-alive connections Keep-Alive: timeout=5, max=10000 Reestablish closed KA connection New connections if all are busy N backend connections = N backend requests in-flight DDoS and flash crowds: as many server connections as client connections Run out of port numbers HTTP/1 message pipelining Mostly unused by proxies Squid, Tempesta FW, Polipo Messages multiplexing Forwarding and reforwarding issues Security issues ● Breaking authentication ● HTTP Response splitting HTTP Response Splitting attack (Web cache poisoning) [CRLF CRLF] Client: /redir_lang.jsp?lang=foobar%0d%0aContent-Length:%200%0d%0a%0d%0a HTTP/1.1%20200%20OK%0d%0aContent-Type:%20text/html%0d%0a
    [Show full text]
  • Load Balancing
    Load Balancing Contents What is Load Balancing Load Balancer and Back-End Layer-2 Load Balancing Layer-4 Load Balancing Layer-7 Load Balancing Persistence DNS Load Balancing Database Load Balancing Load-Balancing Clusters More Software Solutions What is Load Balancing? Load balancing is a computer networking methodology to distribute workload across multiple resources to achieve optimal resource utilization maximize throughput minimize response time avoid overload Load Balancer and Back-End A Load Balancer (Front-End Server) is usually used Receives computed outputs from several Back- End Servers In Multitier architecture, terminology of designs may include Stovepipes Bowties Load Balancer and Back-End Redirects traffic according to algorithm/availability/traffic but stays as a mediator between the user and the back-end servers Server Health Checking through Ping/TCP Connect/HTTP Get Header/HTTP Get Content Custom checks can be designed too Layer-2 Load Balancing ● Bonding ● Bond two or more links into a single, higher- bandwidth logical link ● NIC Teaming ● Link Aggregation Control Protocol (LACP) Layer 4 Load Balancer/Router MultiLayer Switch Practically a NAT with port and transaction awareness Modern load balancing routers can use rules least load fastest response times balancing requests out if one machine is not up, the router will not send traffic to it IPVS in the Linux Virtual Server (LVS) Layer-7 Load Balancing Reverse Proxy Parse requests in application layer and distribute requests to servers based on different types of request contents LoadBalancing.org recommends HAProxy for open-source Citrix netscaler and F5 are also said to dominate this market Also KTCPVS Layer-7 Load Switching Persistence When a user is directed to one server The user is kept redirected to that server Source IP Persistence Not good for multiple access behind one IP Cookie Based Good for HTTP but there are famous vendors that also do RDP Cookies (HAProxy) DNS Load Balancing Using the Zone File When the Server is down..
    [Show full text]
  • HTTP/2: Analysis and Measurements
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Universidad Carlos III de Madrid e-Archivo UNIVERSIDAD CARLOS III DE MADRID ESCUELA POLITÉCNICA SUPERIOR DEPARTAMENTO DE INGENIERÍA TELEMÁTICA ITT: Sistemas de Telecomunicaciones Proyecto Fin de Carrera HTTP/2: Analysis and measurements Author: José Fernando Calcerrada Cano Tutor: Marcelo Bagnulo Braun Cotutor: Anna Maria Mandalari January 2016 “This, Jen, is the Internet.” Maurice Moss, IT Crowd. Abstract HTTP/2: Analysis and measurements by José Fernando Calcerrada Cano The upgrade of HTTP, the protocol that powers the Internet of the people, was published as RFC on May of 2015. HTTP/2 aims to improve the users experience by solving well- know problems of HTTP/1.1 and also introducing new features. The main goal of this project is to study HTTP/2 protocol, the support in the software, its deployment and im- plementation on the Internet and how the network reacts to an upgrade of the existing protocol. To shed some light on this question we build two experiments. We build a crawler to monitor the HTTP/2 adoption across Internet using the Alexa top 1 million websites as sample. We find that 22,653 servers announce support for HTTP/2, but only 10,162 websites are served over it. The support for HTTP/2 Upgrade is minimal, just 16 servers support it and only 10 of them load the content of the websites over HTTP/2 on plain TCP. Motivated by those numbers, we investigate how the new protocol behaves with the middleboxes along the path in the network.
    [Show full text]
  • Optimasi Apache Web Server Menggunakan Varnish Web Cache Dan Reverse Proxy Nginx
    OPTIMASI APACHE WEB SERVER MENGGUNAKAN VARNISH WEB CACHE DAN REVERSE PROXY NGINX Skripsi disusun sebagai salah satu syarat untuk memperoleh gelar Sarjana Komputer Program Studi Teknik Informatika Oleh Anindya Putri Arunawati 4611416030 JURUSAN ILMU KOMPUTER FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM UNIVERSITAS NEGERI SEMARANG 2020 ii iii iv MOTTO DAN PERSEMBAHAN MOTTO • Jika yang dapat kau lakukan hanyalah merangkak, maka mulailah merangkak (Rumi) • Semakin dia yakin kepada Allah, semakin sedikit dia mengeluh dalam hidupnya (ust. Hanan Attaki) • Jangan pernah lelah untuk berdoa dan percayakan semuanya pada Allah, Allah yang mengatur segalanya (Anindya) PERSEMBAHAN Skripsi ini saya persembahkan kepada: • Kedua Orang Tua saya Bapak Achmad Daserun dan Ibu Watini yang telah mencurahkan keringatnya untuk membiayai pendidikan saya, yang selalu memberikan kasih sayang, doa, dan dukungannnya. • Adik saya, Hilal Hubdin yang telah memberikan dukungan serta doa yang terus dipanjatkan. • Teman-teman saya di jurusan Ilmu Komputer, Fakultas MIPA, serta teman-teman di Universitas Negeri Semarang. • Semua pihak yang tidak dapat disebutkan satu persatu yang telah membantu hingga terselesaikannya penulisan skripsi ini. • Almamater, Universitas Negeri Semarang. v PRAKATA Puji syukur penulis panjatkan kepada Allah Subhanahu wa ta'ala atas berkat rahmat dan hidayah-Nya penulis dapat menyelesaikan skripsi yang berjudul “Optimasi Apache Web Server Menggunakan Varnish Web Cache Dan Reverse Proxy Nginx”. Penulis menyadari bahwa penulisan skripsi ini tidak akan selesai tanpa adanya dukungan serta bantuan dari berbagai pihak. Oleh karena itu, penulis ingin menyampaikan ucapan terima kasih kepada: 1. Prof. Dr. Fathur Rokhman, M.Hum., Rektor Universitas Negeri Semarang. 2. Dr. Sugianto M.Si., Dekan Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Semarang.
    [Show full text]