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Releases: ilektrojohn/creepy

Creepy v1.1

02 Feb 19:49
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Creepy v1.1

First minor release for v1

Description

Creepy is a geolocation OSINT tool. Gathers geolocation related information from online sources, and allows for presentation on map, search filtering based on exact location and/or date, export in csv format or kml for further analysis in Google Maps.

What's new in this release ?

"Check for updates" function to help Windows users keep their cree.py installation updated.

What's fixed in this release ?

  • Fix in twitter plugin for tweepy accessing twitter API endpoints over SSL
  • Fix switch for enabling twitter search for users with "geolocation disabled" - They are returned by default.

Creepy v1.2 - Codename "SKUP" - Pre-release

17 Oct 10:28
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This is a prerelease for v1.2 , only windows binary for x64. for the workshop at DATA-SKUP http://www.skup.no/Data-SKUP_2014/9754

The normal release containing source code and binaries for all platforms will come shortly.

Creepy v1.0.1 - Codename "diskbråck"

05 Jan 17:17
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Creepy v1.0.1 - Codename "diskbråck"

Bug Fixes for v1.0

Description

Creepy is a geolocation OSINT tool. Gathers geolocation related information from online sources, and allows for presentation on map, search filtering based on exact location and/or date, export in csv format or kml for further analysis in Google Maps.

What's new in this release ?

N/A

What's fixed in this release ?

  • Fixes for correctly showing unicode strings in the GUI
  • Fix for the bug that caused the right click menu in the projects list to show multiple times
  • Fix for showing warning dialogs correctly when checking plugins configuration and when running plugins configuration wizard

Creepy v1.0 - Codename "diskbråck"

24 Dec 10:03
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Creepy v1.0 - Codename "diskbråck"

Long-awaited and long-overdue creepy v1.0 is finally here.

Description

Creepy is a geolocation OSINT tool. Gathers geolocation related information from online sources, and allows for presentation on map, search filtering based on exact location and/or date, export in csv format or kml for further analysis in Google Maps.

What's new in this release ?

  • Creepy now uses Qt 4, via it's PyQt4 bindings for the user interface.
  • Analysis in based on projects, you can work with multiple targets simultaneously without having to re-analyze them.
  • Creepy is extensible via plugins for online services that might hold geolocation information. See : https://github.com/ilektrojohn/creepy-plugins
  • Plugins for twitter, instagram and flickr are included in this release
  • Easy plugin configuration with wizards, where applicable
  • After analysis, the retrieved locations can be filtered based on the date that they were created or the proximity to a certain location
  • Google maps is used as a maps provider ( Street view included within Creepy ! )

What's fixed in this release ?

  • Twitter API v1.1 support
  • The user interface is more intuitive and allows for handling multiple targets simultaneously
  • Various minor bugs that were present in earlier versions

How to start

  1. Download creepy ( source code or the installers provided here for your platform )
  2. Configure twitter and instagram plugins. Edit -> Plugins Configuration -> Twitter / Instagram and run the wizards, following the instructions
  3. Create a new project : Creepy -> New Project -> Person Based Project . Search for the target selecting the available plugins.
  4. Right click on the project -> Analyze Current Project
  5. Wait :)
  6. The locations will be drawn on the map, once the analysis is complete.
  7. Filter locations, export locations, view them on the map.

Screenshots

Main Interface with analyzed Project
Plugin Configuration
Filtering Results by Location
Project Context Menu
Filtering Results by Date

Installation

Windows

Creepy is tested on Windows 7 and installers are provided for both x86 and x86-64 systems
Creepy should run on Windows 8 too ( yet untested - unsupported )
YMMV on Windows XP and Vista

Linux

.deb files for debian based distributions will be shortly available. Great work by the maintainer of the debian package, go say thanks to Daniel ( @epsilon77 on twitter )

If you wish to run from source the dependencies are :

  • python-configobj
  • flickrapi
  • tweepy
  • yapsy
  • python-instagram
  • python-qt4
  • python-sip4

run by executing python CreepyMain.py

OSX

Work is under way, you could run it as it is now from source id you can resolve dependencies, but an application bundle is on it's way