{"id":35296,"date":"2019-10-31T22:03:29","date_gmt":"2019-10-31T19:03:29","guid":{"rendered":"https:\/\/prohoster.info\/blog\/predstavlena-novaya-tehnika-skrytoj-identifikatsii-sistemy-i-brauzera\/"},"modified":"2019-10-31T22:03:29","modified_gmt":"2019-10-31T19:03:29","slug":"predstavlena-novaya-tehnika-skrytoj-identifikatsii-sistemy-i-brauzera","status":"publish","type":"post","link":"https:\/\/prohoster.info\/en\/blog\/news\/predstavlena-novaya-tehnika-skrytoj-identifikatsii-sistemy-i-brauzera","title":{"rendered":"A new technique for hidden identification of systems and browsers has been unveiled","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A group of researchers from Graz University of Technology (Austria), previously known for developing attack methods MDS<\/a><\/noindex>, NetSpectre<\/a><\/noindex> and Throwhammer<\/a><\/noindex>, revealed<\/a><\/noindex> provided information about a new side-channel analysis technique that allows determining the exact version of the browser, the operating system in use, CPU architecture, and the use of extensions to combat hidden identification. <\/p>\n

To determine the specified parameters, it is sufficient to run a JavaScript code prepared by the researchers in the browser. In practice, the method can be used not only as an additional source for indirect user identification but also for defining system environment parameters to target exploits, taking into account the OS, architecture, and browser. The method is effective even when using browsers with implemented mechanisms blocking hidden identification, such as Tor Browser. The source code of the prototype implementing the method has been published<\/a><\/noindex> is licensed under the MIT License.<\/p>\n

Determination is based on identifying properties characteristic of different browsers through JavaScript state patterns and runtime performance characteristics, which depend on the specifics of JIT operation, CPU, and memory allocation mechanisms. Properties are determined by generating a list of all objects accessible from JavaScript. It turns out that the number of objects directly correlates with the browser engine and its version. <\/p>\n

function getProperties(o) {
\n var result = [];
\n while (o !== null) {
\n result = result.concat(Reflect.ownKeys(o));
\n o = Object.getPrototypeOf(o);
\n }
\n return result;
\n }<\/p>\n

For example, for Firefox, the documentation claims support for 2247 properties, while the actual number of defined properties, including undocumented ones, is 15709 (in Tor Browser \u2014 15639). For Chrome, 2698 properties are claimed, whereas 13570 are actually offered (in Chrome for Android \u2014 13119). The number and values of properties change from version to version of the browser and with the use of different operating systems. <\/p>\n

The values and availability of certain properties can be used to determine the OS type. For instance, in Kubuntu, the property window.innerWidth is set to 1000, while in Windows 10, it is set to 1001. In Windows, the property window.navigator.activeVRDisplays is available, but it is not in Linux. Android offers many specific calls, but window.SharedWorker is not available. For OS identification, analyzing WebGL parameters is also suggested, as their state depends on the drivers. Additionally, calling the WEBGL_debug_renderer_info extension allows retrieving information about the rendering engine OpenGL, which varies for each operating system. <\/p>\n

To determine the CPU, differences in execution time of various standard code blocks are assessed, where processing depends on the instruction set architecture considering JIT behavior (determining how many CPU registers will be utilized and in which cases JIT will generate efficient code with optimizations and involving extended instructions, and when it will not). To determine the type of memory distribution system and operating system, the difference in memory allocation time for various structures is also measured, indicating the size of memory blocks. <\/p>\n

Parameters defined during script execution are compared with reference values characteristic of pre-tested environments. During verification, the developed technique allowed for the precise identification of 40 different test environments, determining the versions of the browsers used, the CPU manufacturer, the operating system in use, and whether the execution was on real hardware or in a virtual machine.<\/p>\n

It is particularly noted that the capability to identify browser extensions and even specific settings of those extensions exists, including extensions designed to block hidden identification methods or private browsing activity. In the context of this proposed method, such extensions become another source of data for identification. Extensions are identified by evaluating the distortions in the parameters of the original environment introduced by the extensions.<\/p>\n

Other identification methods include considering indirect data such as screen resolution<\/a><\/noindex>, a list of supported MIME types, specific parameters in headers (HTTP\/2<\/a><\/noindex> and HTTPS<\/a><\/noindex>), analysis of installed plugins and fonts<\/a><\/noindex>, availability of certain Web APIs specific to graphics cards Features<\/a><\/noindex> rendering using WebGL and Canvas<\/a><\/noindex>, Manipulations<\/a><\/noindex> with CSS, analyzing the peculiarities of working with mouse<\/a><\/noindex> and keyboard<\/a><\/noindex>.<\/p>\n

<\/a><\/noindex><\/p>\n

Source: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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