{"id":52993,"date":"2019-11-21T00:00:00","date_gmt":"2019-11-20T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/funktsional-sovremennyh-sistem-zashhity-prilozhenij-waf-dolzhen-byt-gorazdo-shire-spiska-uyazvimostej-iz-owasp-top-10"},"modified":"2020-02-18T14:00:49","modified_gmt":"2020-02-18T11:00:49","slug":"funktsional-sovremennyh-sistem-zashhity-prilozhenij-waf-dolzhen-byt-gorazdo-shire-spiska-uyazvimostej-iz-owasp-top-10","status":"publish","type":"post","link":"https:\/\/prohoster.info\/en\/blog\/administrirovanie\/funktsional-sovremennyh-sistem-zashhity-prilozhenij-waf-dolzhen-byt-gorazdo-shire-spiska-uyazvimostej-iz-owasp-top-10","title":{"rendered":"The functionality of modern application protection systems (WAF) should be much broader than the list of vulnerabilities from the OWASP Top 10.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<h4>Retrospective<\/h4>\n<p>\nThe scale, composition, and structure of cyber threats to applications are rapidly evolving. For many years, users accessed web applications over the internet using popular web browsers. At any given moment, it was necessary to support 2-5 web browsers, and the set of development and testing standards for web applications was quite limited. For instance, almost all databases were built using SQL. Unfortunately, not long after, hackers learned to exploit web applications to steal, delete, or alter data. They gained unauthorized access and abused application capabilities using various techniques, including deceiving application users and injecting and executing code remotely. Soon after, commercial web application protection tools known as Web Application Firewalls (WAF) emerged in the market, and the community responded by creating an open project to secure web applications, the Open Web Application Security Project (OWASP), aimed at defining and maintaining standards and methodologies for developing secure applications.<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h4>Basic Application Protection<\/h4>\n<p>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/radware.pro\/downloads\/OWASP_Top_10-2017-ru.pdf\">OWASP Top 10<\/a><\/noindex> serves as a starting point for securing applications and includes a list of the most dangerous threats and misconfigurations that can lead to application vulnerabilities, as well as tactics for detecting and mitigating attacks. The OWASP Top 10 is a recognized benchmark in the global application cybersecurity industry and defines a basic list of capabilities that a web application protection system (WAF) should possess. <\/p>\n<p>In addition, WAF functionality should account for other common attacks on web applications, including Cross-Site Request Forgery (CSRF), Clickjacking, web scraping, and Remote File Inclusion (RFI)\/Local File Inclusion (LFI).<\/p>\n<h4>Threats and Security Challenges of Modern Applications<\/h4>\n<p>\nCurrently, not all applications are executed in a networked format. There are cloud applications, mobile applications, APIs, and in the latest architectures, even individual software functions. All these types of applications need to be synchronized and controlled, as they create, modify, and process our data. With the emergence of new technologies and paradigms, new complexities and challenges arise at all stages of the application lifecycle. This includes integrating development and operations (DevOps), containers, the Internet of Things (IoT), open-source tools, APIs, and more. <\/p>\n<p>The distributed deployment of applications and the variety of technologies create complex and intricate tasks not only for information security specialists but also for security solution providers, who can no longer rely on a unified approach. Application protections must take into account their business specifics to prevent false positives and service quality degradation for users. <\/p>\n<p>The ultimate goal of hackers is usually either data theft or service disruption. Cybercriminals also gain advantages during technological evolution. First, the development of new technologies creates more potential breaches and vulnerabilities. Second, they have more tools and knowledge in their arsenal to bypass traditional protections. This significantly increases the so-called 'attack surface' and exposes organizations to new risks. Security policies must continually evolve in response to changes in technologies and applications. <\/p>\n<p>Thus, applications must be protected against the ever-growing variety of attack methods and sources, and the reflection of automated attacks must occur in real-time based on informed decisions. As a result, operational costs and manual labor increase amidst weakened security positions. <\/p>\n<h4>Task No. 1: Bot Management<\/h4>\n<p>\nOver 60% of internet traffic is generated by bots, half of which is classified as 'bad' traffic (according to data <noindex><a rel=\"nofollow\" href=\"https:\/\/radware.pro\/catalog\/2018-2019-radware-global-application-network-security-report\/\">from the Radware security report<\/a><\/noindex>). Organizations invest in increasing network bandwidth, essentially servicing fictitious loads. The precise distinction between real user traffic and bot traffic, as well as 'good' bots (such as search engine crawlers and price comparison services) and 'bad' bots, can lead to significant cost savings and improved service quality for users. <\/p>\n<p>Bots are not going to make this task easier, and they can mimic the behavior of real users, bypassing CAPTCHA and other obstacles. Moreover, in the case of attacks using dynamic IP addresses, IP-based filtering becomes ineffective. Often, open-source development tools (for example, Phantom JS) that can run client-side JavaScript are used to launch brute-force attacks, credential stuffing attacks, DDoS attacks, and automated bot attacks. <\/p>\n<p>Effective management of bot traffic requires a unique identification of its source (like a fingerprint). Since a bot attack generates numerous logs, its fingerprint can help detect suspicious activity and assign scores on which the application protection system can make informed decisions \u2013 to block\/allow \u2013 with minimal false positive rates. <\/p>\n<p><noindex><a rel=\"nofollow\" href=\"https:\/\/radware.pro\/catalog\/2018-2019-radware-global-application-network-security-report\/\"><img decoding=\"async\" alt=\"The functionality of modern application protection systems (WAF) should be much broader than the list of vulnerabilities from the OWASP Top 10.\" src=\"\/wp-content\/uploads\/2019\/11\/54764c31a86863be4e6f4ed16ff4b65c.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/p>\n<h4>Task #2: API Protection<\/h4>\n<p>\nMany applications collect information and data from services they interact with via APIs. When transmitting sensitive data through APIs, over 50% of organizations do not perform any verification or protection of APIs to detect cyberattacks. <\/p>\n<p>API Use Cases:<\/p>\n<ul>\n<li>Internet of Things (IoT) Integration<\/li>\n<li>Machine-to-Machine Interaction<\/li>\n<li>Serverless Environments <\/li>\n<li>Mobile Applications<\/li>\n<li>Event-Driven Applications<\/li>\n<\/ul>\n<p>\nAPI vulnerabilities are similar to application vulnerabilities and include injections, protocol attacks, parameter manipulation, redirects, and bot attacks. Dedicated API gateways ensure compatibility of application services that interact via APIs. However, they do not provide end-to-end security for applications, a task best suited for WAFs equipped with necessary security tools like HTTP header parsing, Layer 7 Access Control Lists (ACL), JSON\/XML payload parsing and validation, as well as protection against all vulnerabilities listed in the OWASP Top 10. This is achieved through the inspection of key API values using both positive and negative models. <\/p>\n<h4>Task #3: Denial of Service<\/h4>\n<p>\nThe old attack vector\u2014Denial of Service (DoS)\u2014continues to prove effective in application attacks. Attackers possess a broad set of successful techniques to disrupt application services, including HTTP or HTTPS floods, low-power and slow attacks (such as SlowLoris, LOIC, Torshammer), attacks using dynamic IP addresses, buffer overflows, brute-force attacks, and many others. With the growth of the Internet of Things and the subsequent emergence of IoT botnets, application attacks have become a primary focus of DDoS attacks. Most WAFs with connection state tracking can only withstand a limited amount of load. However, they can inspect HTTP\/S traffic streams and filter out attack traffic and malicious connections. Once an attack is detected, there is no point in allowing that traffic through again. Given that a WAF's bandwidth to counteract attacks is limited, an additional perimeter network solution is necessary to automatically block the next 'bad' packets. For this protection scenario, both solutions must be capable of interacting with each other to share attack information. <\/p>\n<p><img decoding=\"async\" alt=\"The functionality of modern application protection systems (WAF) should be much broader than the list of vulnerabilities from the OWASP Top 10.\" src=\"\/wp-content\/uploads\/2019\/11\/0891b6ac8b043b813a831fc8bede5122.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Fig 1. Organizing comprehensive protection for networks and applications based on Radware solutions<\/i><\/p>\n<h4>Task #4: Continuous Protection<\/h4>\n<p>\nApplications frequently undergo changes. Development and deployment methodologies, such as continuous updates, mean that modifications are carried out without human intervention and control. In such dynamic environments, maintaining adequately functioning security policies without a high number of false positives is challenging. Mobile applications are updated much more often than web applications. Third-party applications can change without your knowledge. Some organizations seek greater control and visibility to stay informed about potential risks. However, this is not always achievable, and robust application protection should leverage machine learning capabilities to account for and visually represent existing resources, analyze potential threats, and create and optimize security policies in the event of application modifications.<\/p>\n<h4>Conclusions<\/h4>\n<p>\nAs applications play an increasingly vital role in everyday life, they become a primary target for hackers. The potential jackpot for malicious actors and the possible losses for businesses are immense. The complexity of ensuring application security cannot be overstated, given the quantity and variety of applications and threats. <\/p>\n<p>Fortunately, we are at a point in time where artificial intelligence can come to our aid. Machine learning-based algorithms provide adaptive real-time protection against the most sophisticated cyber threats aimed at applications. They also automatically update security policies to protect web, mobile, and cloud applications \u2014 as well as APIs \u2014 without false positives.<\/p>\n<p>It is challenging to predict with accuracy what the next generation of cyber threats to applications will look like (possibly also based on machine learning). However, organizations can certainly take steps to protect customer data, intellectual property, and ensure service availability, with significant business benefits.<\/p>\n<p>Effective approaches and methods for securing applications, the main types and attack vectors, risk areas, and gaps in web application cybersecurity, as well as global experience and best practices, are presented in the Radware study and report.<noindex><a rel=\"nofollow\" href=\"https:\/\/radware.pro\/catalog\/web_application_security_digitally_connected_world_2019\/\">Web Application Security in a Digitally Connected World<\/a><\/noindex>\u201d.<br \/>\n<br \/>Source: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/476490\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0420\u0435\u0442\u0440\u043e\u0441\u043f\u0435\u043a\u0442\u0438\u0432\u0430 \u041c\u0430\u0441\u0448\u0442\u0430\u0431, 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\u0431\u044b\u043b\u0438 \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u044b \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c SQL. \u041a [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-52993","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0420\u0435\u0442\u0440\u043e\u0441\u043f\u0435\u043a\u0442\u0438\u0432\u0430 \u041c\u0430\u0441\u0448\u0442\u0430\u0431, \u0441\u043e\u0441\u0442\u0430\u0432 \u0438 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430 \u043a\u0438\u0431\u0435\u0440\u0443\u0433\u0440\u043e\u0437 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