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Difference between revisions of "Projects/OWASP Hatkit Datafiddler Project"

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| project_road_map = http://www.owasp.org/index.php/OWASP_Hatkit_Datafiddler_Project/Roadmap
 
| project_road_map = http://www.owasp.org/index.php/OWASP_Hatkit_Datafiddler_Project/Roadmap
  
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| links_url1 = http://martin.swende.se/hg/#hatkit_fiddler-t1
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| links_url1 = https://bitbucket.org/holiman/hatkit-datafiddler
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| links_name1 = hatkit_fiddler-t1
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| links_name1 = Project at BitBucket
  
  
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| links_url2 =    http://martin.swende.se/hg/hatkit_fiddler
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| links_url2 =    https://bitbucket.org/holiman/hatkit-datafiddler/issues?status=new&status=open
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| links_name2 = hatkit_fiddler
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| links_name2 = Issue tracker
 
   
 
   
 
| links_url3 =  http://www.owasp.org/index.php/OWASP_Hatkit_Proxy_Project
 
| links_url3 =  http://www.owasp.org/index.php/OWASP_Hatkit_Proxy_Project
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| links_name[4-10] =  
 
| links_name[4-10] =  
  
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| release_1 = Hatkit Fiddler V1
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| release_1 = Hatkit Fiddler v 0.5.0
  
 
| release_2 =  
 
| release_2 =  

Revision as of 19:34, 9 April 2011

PROJECT INFO
What does this OWASP project offer you? 		RELEASE(S) INFO
What releases are available for this project?
what is this project?
Name: OWASP Hatkit Datafiddler Project (home page)
Purpose:
  • The Datafiddler is a tool for performing advanced analysis of http traffic. It currently consists of two main views, one table-based and one tree-based. These views allow the user to study different aspects of the http traffic, with very high degree of configurability. The tool is also meant to be a framework which can utilize existing tools to analyze traffic post mortem (or real-time).
  • Built in Python/Qt + MongoDB.
License: GNU General Public License v3
who is working on this project?
Project Leader(s):
how can you learn more?
Project Pamphlet: Not Yet Created
Project Presentation: View
Mailing list: Mailing List Archives
Project Roadmap: View
Main links:
Key Contacts
current release
Hatkit Fiddler v 0.5.0 - April 9 2011 - (download)
Release description:
  • This tool allows you to analyze data which has been catpured into a MongoDB. You can view the data in table-mode (with dynamically evaluated column-definitions which can reach into html, transform values etc), aggregate-mode (performs advanced data aggregation, showing different characteristics on the data depeneding on how you define (or use the pre-defined) javascript aggregators, which are sent right into MongoDB). It also has a third-party-app replay functionality, to let w3af or ratproxy do their thing and analyze the data for you.
  • Requirements: Python, Python-qt bindings, Qt4, MongoDB, Python Mongodb drivers.
Rating: Yellow button.JPG Not Reviewed - Assessment Details
last reviewed release
Not Yet Reviewed


other releases

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