Difference between revisions of "PyFlag"

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{{Infobox_tool
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{{Infobox tool
|purpose= FLAG (Forensic and Log Analysis GUI) is an advanced forensic tool for the analysis of large volumes of log files and forensic investigations.
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|purpose=FLAG (Forensic and Log Analysis GUI) is an advanced forensic tool for the analysis of large volumes of log files and forensic investigations.
|image=
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|homepage=http://www.pyflag.net/
|homepage= http://www.pyflag.net/
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|function=Forensic
|license=
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}}
|platforms=
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{{Infobox tool details
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|ohloh_id=PyFlag
 
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<!-- Delete the Categories that do not apply -->
 
[[Category:Forensic]]
 
 
 
 
= Description =
 
= Description =
 
FLAG (Forensic and Log Analysis GUI) is an advanced forensic tool for the analysis of large volumes of log files and forensic investigations. PyFlag features a rich FeatureList which include the ability to load many different log file formats,  Perform forensic analysis of disks and images. PyFlag can also analyse network traffic as obtained via tcpdump quickly and efficiently.  
 
FLAG (Forensic and Log Analysis GUI) is an advanced forensic tool for the analysis of large volumes of log files and forensic investigations. PyFlag features a rich FeatureList which include the ability to load many different log file formats,  Perform forensic analysis of disks and images. PyFlag can also analyse network traffic as obtained via tcpdump quickly and efficiently.  

Latest revision as of 15:19, 26 April 2021





FLAG (Forensic and Log Analysis GUI) is an advanced forensic tool for the analysis of large volumes of log files and forensic investigations.
Homepage:http://www.pyflag.net/
Function:Forensic


Description[edit]

FLAG (Forensic and Log Analysis GUI) is an advanced forensic tool for the analysis of large volumes of log files and forensic investigations. PyFlag features a rich FeatureList which include the ability to load many different log file formats, Perform forensic analysis of disks and images. PyFlag can also analyse network traffic as obtained via tcpdump quickly and efficiently.

User Experiences[edit]

Development Activity[edit]