Difference between revisions of "Google Chrome"

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This is used to determine if your ISP is hijacking NXDOMAIN results. For more info see:
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This is used to determine if your ISP is hijacking NXDOMAIN results [http://www.google.com/support/forum/p/Chrome/thread?tid=3511015c72a7b314&hl=en].
http://www.google.com/support/forum/p/Chrome/thread?tid=3511015c72a7b314&hl=en
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== History ==
 
== History ==
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== External Links ==
 
== External Links ==
 
* [http://en.wikipedia.org/wiki/Google_Chrome Wikipedia article on Google Chrome]
 
* [http://en.wikipedia.org/wiki/Google_Chrome Wikipedia article on Google Chrome]
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* [http://www.google.com/support/forum/p/Chrome/thread?tid=3511015c72a7b314&hl=en Chrome support forum article random 10 character hostnames on startup]
  
 
[[Category:Applications]]
 
[[Category:Applications]]
 
[[Category:Web Browsers]]
 
[[Category:Web Browsers]]

Revision as of 05:39, 27 September 2011

Google Chrome is a web browser developed by Google Inc.

Start-up DNS queries

When Chrome starts it queries for several non-existing hostnames that consists of a 10 random characters, E.g.

ttrgoiknff.mydomain.com
bxjhgftsyu.mydomain.com
yokjbjiagd.mydomain.com

This is used to determine if your ISP is hijacking NXDOMAIN results [1].

History

Chrome stores the history of visited sites in a file named History. This files uses the SQLite database format.

Timestamps

The History file uses the following timestamps.

visits.visit_time

The visit date and time values in the visit table are in (the number of) microseconds since January 1, 1601 UTC

Some Python code to do the conversion into human readable format:

date_string = datetime.datetime( 1601, 1, 1 )
            + datetime.timedelta( microseconds=timestamp )

Note that this timestamp is not the same as a Windows filetime which is (the number of) 100 nanoseconds since January 1, 1601 UTC

downloads.start_time

The start date and time values in the downloads table are in (the number of) seconds since January 1, 1970 UTC

Some Python code to do the conversion into human readable format:

date_string = datetime.datetime( 1970, 1, 1 )
            + datetime.timedelta( seconds=timestamp )

See Also

External Links