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Domain > backup.facedetect.me
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AlienVault OTX
Is this malicious?
Yes
No
DNS Resolutions
Date
IP Address
2018-04-23
151.101.193.147
(
ClassC
)
2018-04-23
151.101.65.147
(
ClassC
)
2024-08-24
185.199.109.153
(
ClassC
)
Port 80
HTTP/1.1 200 OKConnection: keep-aliveContent-Length: 4183Server: GitHub.comContent-Type: text/html; charsetutf-8Last-Modified: Thu, 23 Jul 2015 10:26:43 GMTAccess-Control-Allow-Origin: *ETag: 55b0c163-1057expires: Sat, 24 Aug 2024 13:43:30 GMTCache-Control: max-age600x-proxy-cache: MISSX-GitHub-Request-Id: 9282:10CF:234D1A5:2434A1A:66C9E129Accept-Ranges: bytesAge: 0Date: Sat, 24 Aug 2024 13:33:30 GMTVia: 1.1 varnishX-Served-By: cache-bfi-krnt7300049-BFIX-Cache: MISSX-Cache-Hits: 0X-Timer: S1724506410.106922,VS0,VE67Vary: Accept-EncodingX-Fastly-Request-ID: 8e3099e4c520be99f103d37e2a83f442ca338555 html> head> style typetext/css> body { margin-left:auto; margin-right: auto; width: 800px; font-family: Helvetica Neue, Helvetica, Segoe UI, Arial, freesans, sans-serif; } h1{ padding-bottom:0.3em; font-size:2.25em; line-height:1.2; border-bottom:1px solid #eee } h2{ padding-bottom:0.3em; font-size:1.75em; line-height:1.225; border-bottom:1px solid #eee } .btn { background: #3498db; background-image: -webkit-linear-gradient(top, #3498db, #2980b9); background-image: -moz-linear-gradient(top, #3498db, #2980b9); background-image: -ms-linear-gradient(top, #3498db, #2980b9); background-image: -o-linear-gradient(top, #3498db, #2980b9); background-image: linear-gradient(to bottom, #3498db, #2980b9); -webkit-border-radius: 28; -moz-border-radius: 28; border-radius: 28px; font-family: Arial; color: #ffffff; font-size: 46px; padding: 10px 20px 10px 20px; text-decoration: none; } .btn:hover { background: #3cb0fd; background-image: -webkit-linear-gradient(top, #3cb0fd, #3498db); background-image: -moz-linear-gradient(top, #3cb0fd, #3498db); background-image: -ms-linear-gradient(top, #3cb0fd, #3498db); background-image: -o-linear-gradient(top, #3cb0fd, #3498db); background-image: linear-gradient(to bottom, #3cb0fd, #3498db); text-decoration: none; } #download { margin-left:auto; margin-right: auto; display: block; width: 10em; text-align: center; } /style> /head> body> a hrefhttps://github.com/jonhare/SimpleFaceDetector>img styleposition: absolute; top: 0; right: 0; border: 0; srchttps://camo.githubusercontent.com/365986a132ccd6a44c23a9169022c0b5c890c387/68747470733a2f2f73332e616d617a6f6e6177732e636f6d2f6769746875622f726962626f6e732f666f726b6d655f72696768745f7265645f6161303030302e706e67 altFork me on GitHub data-canonical-srchttps://s3.amazonaws.com/github/ribbons/forkme_right_red_aa0000.png>/a> article> h1>A Simple Face Detector/h1> p>A simple tool for learning about face detection./p> div stylewidth: 100%> br/> br/> a hreffacedetector.jar iddownload classbtn>Download/a> br/> br/> /div> h2>Running the detector/h2> p>SimpleFaceDetector is a Java application. You need to have Java 1.6 or greater installed to use it. Java can be downloaded and installed from the a hrefhttp://www.oracle.com/technetwork/java/javase/downloads/index.html>Oracle Java SE downloads page/a>./p> h2>Running with a webcam/h2> p>If you have a webcam, the Simple Face Detector can use it to capture images and highlight detected faces. You should be able to just double click on the code>facedetector.jar/code> file to launch it. Alternatively, it can be launched from a command prompt with the following command: /p> pre>code>java -jar facedetector.jar/code>/pre> p>When the tool launches, it will connect to the first webcam it sees and display the image. A red box will be drawn around any detected faces. Pressing the space bar will pause the video, and pressing again will unpause it. Pressing the code>s/code> key will allow you to save the current image to a file./p> h2>Using your own images/h2> p>The face detector tool also contains a command-line mode that allows it to read an image, detect faces and save the result. To do this, the following command can be used from a command prompt:/p> pre>code>java -jar facedetector.jar <input_image> <output_image>/code>/pre> p>For example, to detect faces in the a hreffaces.jpg>faces.jpg/a> file and save the result to a hreffaces-detections.jpg>faces-detections.jpg/a> one would run: /p> pre>code>java -jar facedetector.jar faces.jpg faces-detections.jpg/code>/pre> p>The original and resultant images are shown below:/p> div aligncenter> img srcfaces.jpg stylemax-width:100%;> img srcfaces-detections.jpg stylemax-width:100%;> /div> /article> /body>/html>
Port 443
HTTP/1.1 200 OKConnection: keep-aliveContent-Length: 4183Server: GitHub.comContent-Type: text/html; charsetutf-8x-origin-cache: HITLast-Modified: Thu, 23 Jul 2015 10:26:43 GMTAccess-Control-Allow-Origin: *ETag: 55b0c163-1057expires: Sat, 24 Aug 2024 13:43:30 GMTCache-Control: max-age600x-proxy-cache: MISSX-GitHub-Request-Id: 9D65:350BC7:31C9D73:330F653:66C9E127Accept-Ranges: bytesAge: 0Date: Sat, 24 Aug 2024 13:33:30 GMTVia: 1.1 varnishX-Served-By: cache-bfi-krnt7300115-BFIX-Cache: MISSX-Cache-Hits: 0X-Timer: S1724506410.232478,VS0,VE87Vary: Accept-EncodingX-Fastly-Request-ID: 29ff4e3b970e9e98ca26e8788d9bdeeae53443e1 html> head> style typetext/css> body { margin-left:auto; margin-right: auto; width: 800px; font-family: Helvetica Neue, Helvetica, Segoe UI, Arial, freesans, sans-serif; } h1{ padding-bottom:0.3em; font-size:2.25em; line-height:1.2; border-bottom:1px solid #eee } h2{ padding-bottom:0.3em; font-size:1.75em; line-height:1.225; border-bottom:1px solid #eee } .btn { background: #3498db; background-image: -webkit-linear-gradient(top, #3498db, #2980b9); background-image: -moz-linear-gradient(top, #3498db, #2980b9); background-image: -ms-linear-gradient(top, #3498db, #2980b9); background-image: -o-linear-gradient(top, #3498db, #2980b9); background-image: linear-gradient(to bottom, #3498db, #2980b9); -webkit-border-radius: 28; -moz-border-radius: 28; border-radius: 28px; font-family: Arial; color: #ffffff; font-size: 46px; padding: 10px 20px 10px 20px; text-decoration: none; } .btn:hover { background: #3cb0fd; background-image: -webkit-linear-gradient(top, #3cb0fd, #3498db); background-image: -moz-linear-gradient(top, #3cb0fd, #3498db); background-image: -ms-linear-gradient(top, #3cb0fd, #3498db); background-image: -o-linear-gradient(top, #3cb0fd, #3498db); background-image: linear-gradient(to bottom, #3cb0fd, #3498db); text-decoration: none; } #download { margin-left:auto; margin-right: auto; display: block; width: 10em; text-align: center; } /style> /head> body> a hrefhttps://github.com/jonhare/SimpleFaceDetector>img styleposition: absolute; top: 0; right: 0; border: 0; srchttps://camo.githubusercontent.com/365986a132ccd6a44c23a9169022c0b5c890c387/68747470733a2f2f73332e616d617a6f6e6177732e636f6d2f6769746875622f726962626f6e732f666f726b6d655f72696768745f7265645f6161303030302e706e67 altFork me on GitHub data-canonical-srchttps://s3.amazonaws.com/github/ribbons/forkme_right_red_aa0000.png>/a> article> h1>A Simple Face Detector/h1> p>A simple tool for learning about face detection./p> div stylewidth: 100%> br/> br/> a hreffacedetector.jar iddownload classbtn>Download/a> br/> br/> /div> h2>Running the detector/h2> p>SimpleFaceDetector is a Java application. You need to have Java 1.6 or greater installed to use it. Java can be downloaded and installed from the a hrefhttp://www.oracle.com/technetwork/java/javase/downloads/index.html>Oracle Java SE downloads page/a>./p> h2>Running with a webcam/h2> p>If you have a webcam, the Simple Face Detector can use it to capture images and highlight detected faces. You should be able to just double click on the code>facedetector.jar/code> file to launch it. Alternatively, it can be launched from a command prompt with the following command: /p> pre>code>java -jar facedetector.jar/code>/pre> p>When the tool launches, it will connect to the first webcam it sees and display the image. A red box will be drawn around any detected faces. Pressing the space bar will pause the video, and pressing again will unpause it. Pressing the code>s/code> key will allow you to save the current image to a file./p> h2>Using your own images/h2> p>The face detector tool also contains a command-line mode that allows it to read an image, detect faces and save the result. To do this, the following command can be used from a command prompt:/p> pre>code>java -jar facedetector.jar <input_image> <output_image>/code>/pre> p>For example, to detect faces in the a hreffaces.jpg>faces.jpg/a> file and save the result to a hreffaces-detections.jpg>faces-detections.jpg/a> one would run: /p> pre>code>java -jar facedetector.jar faces.jpg faces-detections.jpg/code>/pre> p>The original and resultant images are shown below:/p> div aligncenter> img srcfaces.jpg stylemax-width:100%;> img srcfaces-detections.jpg stylemax-width:100%;> /div> /article> /body>/html>
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