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Domain > www.face.fullsoluciones.cl
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More information on this domain is in
AlienVault OTX
Is this malicious?
Yes
No
DNS Resolutions
Date
IP Address
2025-08-27
190.107.176.11
(
ClassC
)
Port 80
HTTP/1.1 200 OKConnection: Keep-AliveKeep-Alive: timeout5, max100x-powered-by: PHP/7.4.33content-type: text/html; charsetUTF-8content-length: 6831date: Mon, 07 Apr 2025 07:32:00 GMT !DOCTYPE html>html> head> meta charsetutf-8> meta http-equivX-UA-Compatible contentchrome1> title>Webcam Face Detection Using JavaScript, PHP, and MySQL - Edopedia.com/title> !-- Add these JavaScript files from pico.js library --> script srcpicojs/examples/camvas.js>/script> script srcpicojs/pico.js>/script> script srcpicojs/lploc.js>/script> script> var initialized false; function button_callback() { /* (0) check whether were already running face detection */ if(initialized) return; // if yes, then do not initialize everything again /* (1) initialize the pico.js face detector */ var update_memory pico.instantiate_detection_memory(1); // we will use the detecions of the last 1 frame var facefinder_classify_region function(r, c, s, pixels, ldim) {return -1.0;}; var cascadeurl https://raw.githubusercontent.com/nenadmarkus/pico/c2e81f9d23cc11d1a612fd21e4f9de0921a5d0d9/rnt/cascades/facefinder; fetch(cascadeurl).then(function(response) { response.arrayBuffer().then(function(buffer) { var bytes new Int8Array(buffer); facefinder_classify_region pico.unpack_cascade(bytes); console.log(* facefinder loaded); }) }) /* (2) initialize the lploc.js library with a pupil localizer */ var do_puploc function(r, c, s, nperturbs, pixels, nrows, ncols, ldim) {return -1.0, -1.0;}; //var puplocurl ../puploc.bin; var puplocurl https://f002.backblazeb2.com/file/tehnokv-www/posts/puploc-with-trees/demo/puploc.bin fetch(puplocurl).then(function(response) { response.arrayBuffer().then(function(buffer) { var bytes new Int8Array(buffer); do_puploc lploc.unpack_localizer(bytes); console.log(* puploc loaded); }) }) /* (3) get the drawing context on the canvas and define a function to transform an RGBA image to grayscale */ var ctx document.getElementsByTagName(canvas)0.getContext(2d); function rgba_to_grayscale(rgba, nrows, ncols) { var gray new Uint8Array(nrows*ncols); for(var r0;
Port 443
HTTP/1.1 200 OKConnection: Keep-AliveKeep-Alive: timeout5, max100x-powered-by: PHP/7.4.33content-type: text/html; charsetUTF-8content-length: 6831date: Mon, 07 Apr 2025 07:32:01 GMT !DOCTYPE html>html> head> meta charsetutf-8> meta http-equivX-UA-Compatible contentchrome1> title>Webcam Face Detection Using JavaScript, PHP, and MySQL - Edopedia.com/title> !-- Add these JavaScript files from pico.js library --> script srcpicojs/examples/camvas.js>/script> script srcpicojs/pico.js>/script> script srcpicojs/lploc.js>/script> script> var initialized false; function button_callback() { /* (0) check whether were already running face detection */ if(initialized) return; // if yes, then do not initialize everything again /* (1) initialize the pico.js face detector */ var update_memory pico.instantiate_detection_memory(1); // we will use the detecions of the last 1 frame var facefinder_classify_region function(r, c, s, pixels, ldim) {return -1.0;}; var cascadeurl https://raw.githubusercontent.com/nenadmarkus/pico/c2e81f9d23cc11d1a612fd21e4f9de0921a5d0d9/rnt/cascades/facefinder; fetch(cascadeurl).then(function(response) { response.arrayBuffer().then(function(buffer) { var bytes new Int8Array(buffer); facefinder_classify_region pico.unpack_cascade(bytes); console.log(* facefinder loaded); }) }) /* (2) initialize the lploc.js library with a pupil localizer */ var do_puploc function(r, c, s, nperturbs, pixels, nrows, ncols, ldim) {return -1.0, -1.0;}; //var puplocurl ../puploc.bin; var puplocurl https://f002.backblazeb2.com/file/tehnokv-www/posts/puploc-with-trees/demo/puploc.bin fetch(puplocurl).then(function(response) { response.arrayBuffer().then(function(buffer) { var bytes new Int8Array(buffer); do_puploc lploc.unpack_localizer(bytes); console.log(* puploc loaded); }) }) /* (3) get the drawing context on the canvas and define a function to transform an RGBA image to grayscale */ var ctx document.getElementsByTagName(canvas)0.getContext(2d); function rgba_to_grayscale(rgba, nrows, ncols) { var gray new Uint8Array(nrows*ncols); for(var r0;
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