Fingerprint & IP tracker

This project is for educational purposes only. No data is being stored.

Check out the code on Github
IP Data
MessageNo API Key found, please get your API Key at https://extreme-ip-lookup.com
Query35.174.118.81
Statusfail
Fingerprint
User AgentMozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/140.0.0.0 Safari/537.36 Prerender (+https://github.com/prerender/prerender)
Languageen-US
Color Depth24
Device Memory8
Hardware Concurrency8
Screen Resolution718, 1440
Available Screen Resolution718, 1440
Timezone Offset0
TimezoneUTC
Session Storagetrue
Local Storagetrue
Indexed Dbtrue
Add Behaviorfalse
Open Databasefalse
Cpu Classnot available
PlatformLinux x86_64
PluginsPDF Viewer,Portable Document Format,application/pdf,pdf,text/pdf,pdf, Chrome PDF Viewer,Portable Document Format,application/pdf,pdf,text/pdf,pdf, Chromium PDF Viewer,Portable Document Format,application/pdf,pdf,text/pdf,pdf, Microsoft Edge PDF Viewer,Portable Document Format,application/pdf,pdf,text/pdf,pdf, WebKit built-in PDF,Portable Document Format,application/pdf,pdf,text/pdf,pdf
Canvascanvas winding:yes, canvas fp:data:image/png;base64,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extensions:ANGLE_instanced_arrays;EXT_blend_minmax;EXT_clip_control;EXT_color_buffer_half_float;EXT_depth_clamp;EXT_float_blend;EXT_frag_depth;EXT_polygon_offset_clamp;EXT_shader_texture_lod;EXT_texture_compression_bptc;EXT_texture_compression_rgtc;EXT_texture_filter_anisotropic;EXT_texture_mirror_clamp_to_edge;EXT_sRGB;OES_element_index_uint;OES_fbo_render_mipmap;OES_standard_derivatives;OES_texture_float;OES_texture_float_linear;OES_texture_half_float;OES_texture_half_float_linear;OES_vertex_array_object;WEBGL_color_buffer_float;WEBGL_compressed_texture_astc;WEBGL_compressed_texture_etc;WEBGL_compressed_texture_etc1;WEBGL_compressed_texture_s3tc;WEBGL_compressed_texture_s3tc_srgb;WEBGL_debug_renderer_info;WEBGL_debug_shaders;WEBGL_depth_texture;WEBGL_draw_buffers;WEBGL_lose_context;WEBGL_multi_draw;WEBGL_polygon_mode, webgl aliased line width range:[1, 1], webgl aliased point size range:[1, 1023], webgl alpha bits:8, webgl antialiasing:yes, webgl blue bits:8, webgl depth bits:24, webgl green bits:8, webgl max anisotropy:16, webgl max combined texture image units:64, webgl max cube map texture size:16384, webgl max fragment uniform vectors:4096, webgl max render buffer size:8192, webgl max texture image units:32, webgl max texture size:8192, webgl max varying vectors:31, webgl max vertex attribs:16, webgl max vertex texture image units:32, webgl max vertex uniform vectors:4096, webgl max viewport dims:[8192, 8192], webgl red bits:8, webgl renderer:WebKit WebGL, webgl shading language version:WebGL GLSL ES 1.0 (OpenGL ES GLSL ES 1.0 Chromium), webgl stencil bits:0, webgl vendor:WebKit, webgl version:WebGL 1.0 (OpenGL ES 2.0 Chromium), webgl unmasked vendor:Google Inc. (Google), webgl unmasked renderer:ANGLE (Google, Vulkan 1.3.0 (SwiftShader Device (Subzero) (0x0000C0DE)), SwiftShader driver), webgl vertex shader high float precision:23, webgl vertex shader high float precision rangeMin:127, webgl vertex shader high float precision rangeMax:127, webgl vertex shader medium float precision:10, webgl vertex shader medium float precision rangeMin:15, webgl vertex shader medium float precision rangeMax:15, webgl vertex shader low float precision:10, webgl vertex shader low float precision rangeMin:15, webgl vertex shader low float precision rangeMax:15, webgl fragment shader high float precision:23, webgl fragment shader high float precision rangeMin:127, webgl fragment shader high float precision rangeMax:127, webgl fragment shader medium float precision:10, webgl fragment shader medium float precision rangeMin:15, webgl fragment shader medium float precision rangeMax:15, webgl fragment shader low float precision:10, webgl fragment shader low float precision rangeMin:15, webgl fragment shader low float precision rangeMax:15, webgl vertex shader high int precision:0, webgl vertex shader high int precision rangeMin:31, webgl vertex shader high int precision rangeMax:30, webgl vertex shader medium int precision:0, webgl vertex shader medium int precision rangeMin:15, webgl vertex shader medium int precision rangeMax:14, webgl vertex shader low int precision:0, webgl vertex shader low int precision rangeMin:15, webgl vertex shader low int precision rangeMax:14, webgl fragment shader high int precision:0, webgl fragment shader high int precision rangeMin:31, webgl fragment shader high int precision rangeMax:30, webgl fragment shader medium int precision:0, webgl fragment shader medium int precision rangeMin:15, webgl fragment shader medium int precision rangeMax:14, webgl fragment shader low int precision:0, webgl fragment shader low int precision rangeMin:15, webgl fragment shader low int precision rangeMax:14
Webgl Vendor And RendererGoogle Inc. (Google)~ANGLE (Google, Vulkan 1.3.0 (SwiftShader Device (Subzero) (0x0000C0DE)), SwiftShader driver)
Ad Blockfalse
Has Lied Languagesfalse
Has Lied Resolutionfalse
Has Lied Osfalse
Has Lied Browserfalse
Touch Support0, false, false
FontsArial, Courier, Courier New, Helvetica, Times, Times New Roman
Audio124.04347527516074