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• Cloaked Archive Wiki

  16 mai 2011, par Multimedia Mike — General

  Google’s Chrome browser has made me phenomenally lazy. I don’t even attempt to type proper, complete URLs into the address bar anymore. I just type something vaguely related to the address and let the search engine take over. I saw something weird when I used this method to visit Archive Team’s site :

  
  
  

  There’s greater detail when you elect to view more results from the site :

  
  
  

  As the administrator of a MediaWiki installation like the one that archiveteam.org runs on, I was a little worried that they might have a spam problem. However, clicking through to any of those out-of-place pages does not indicate anything related to pharmaceuticals. Viewing source also reveals nothing amiss.

  I quickly deduced that this is a textbook example of website cloaking. This is when a website reports different content to a search engine than it reports to normal web browsers (humans, presumably). General pseudocode :

  PLAIN TEXT

  C :

  1. if (web_request.user_agent_string == CRAWLER_USER_AGENT)
  2.  return cloaked_data ;
  3. else
  4.  return real_data ;

  You can verify this for yourself using the wget command line utility :

  <br />
$ wget --quiet --user-agent="<strong>Mozilla/5.0</strong>" \<br />
 http://www.archiveteam.org/index.php?title=Geocities -O - | grep \&lt;title\&gt;<br />
&lt;title&gt;GeoCities - Archiveteam&lt;/title&gt;

  $ wget —quiet —user-agent="Googlebot/2.1"
  http://www.archiveteam.org/index.php?title=Geocities -O - | grep \<title\>
  <title>Cheap xanax | Online Drug Store, Big Discounts</title>
  

  I guess the little web prank worked because the phaux-pharma stuff got indexed. It makes we wonder if there’s a MediaWiki plugin that does this automatically.

  For extra fun, here’s a site called the CloakingDetector which purports to be able to detect whether a page employs cloaking. This is just one humble observer’s opinion, but I don’t think the site works too well :
  
  

  
  
  

• ffmpeg crashes for large “-filter_complex_script” inputs

  7 février 2016, par user1605871

  I’m experiencing an issue where ffmpeg seg faults for very large "-filter_complex_script" input files (roughly 3MB). The input file consists of a very large number of drawbox filters. The same processing pipeline works fine for smaller files, but seems to have an issue as the file size increases. Is there a hard limit to how large this file can be ? If so, is there a "magic number" somewhere that we can increase and re-compile from source ?

  We tried looking at core-dump of error and nothing useful came of of it. The error message is ffmpeg execution failure, that’s all we have to off of.

  Does anyone have any other thoughts or advice ?

  Thanks in advance !

• Disadvantages to creating/removing many hard links ?

  6 novembre 2011, par agartland

  I need to create hundreds to thousands of temporary hard or symbolic links that will be deleted shortly after creation. For my purposes both types of links will work (i.e. the target is not a directory and it always exists on the same file system)

  As I understand it, symbolic links create a small file that contains the path to the original file. Whereas a hardlink creates a reference to the data in the same inode. So maybe if I am going to be creating/deleting thousands of these links is it better to be creating and deleting thousands of tiny files (symlinks) or thousands of these references (hardlinks) ? It seems like one taxes the hard drive (maybe fragmentation) while the other might tax the file system itself ? Where are inode references stored. Do I risk corrupting the file system by making so many hard links ? What about speed ?

  Thanks for your expertise !

  This a work around to be able to use ffmpeg to encode a movie out of an arbitrary subset of images from a directory. Since ffmpeg requires that the files be named properly (e.g. frame%04d.jpg) I realized I can just create hard/sym links to the subset of files and just name the links appropriately. This avoids renaming the original files and having to actually copy the data. It works great but it requires creating and deleting many thousands of links, repeatedly.

  Sort of addresses this problem too I believe :
  convert image sequence using ffmpeg