Top Tweets for #log2timeline
I have created a project which automates my #DFIR pipeline for super timeline analysis. This project watches Azure blob for new KAPE collections, it then auto-parses them into super timelines with #log2timeline. They can then be analysed in ADX/Sentinel.
https://t.co/ygDBrxpNqQ
We now support #Log2Timeline CSVs π Stop limiting your psteal output size! Gigasheet #nocode #saas lets anyone analyze huge CSVs - 100m+ rows - and it's free. Sign up at https://t.co/OFstKPMf3d https://t.co/WRBVYX2y0X #dfir #plaso #incidentresponse #blueteam
New & improved β¨ handling of output from #Plaso #Log2Timeline - You can now analyze HUGE output CSV files in Gigasheet. Try it with https://t.co/Z3504Wu5ti and upload the CSV for easy analysis no matter how many lines long it is. #DFIR #forensics #BlueTeam #IncidentResponse #IR
π₯³ Neue Version von #plaso/#log2timeline erschienen!
"super timeline all the things" #DFIR
β‘οΈ https://t.co/cs96noYJPc
NTFS #timeline creation using #plaso #Log2timeline , #Psort parsing with #ELK_DFIR_VM , #DFIR #forensics
#BlueTeam #elasticsearch #IncidentResponse #IR #CyberSecurity
New dashboard for NTFS Supper_Timeline, "#KAPE Artifact Parser" vhdx output by @EricRZimmerman tools & #log2timeline to generating #forensic timelines than #ELK_DFIR_VM #opensource tool for indexing. #DFIR #IR
#BlueTeam #ELK #IncidentResponse #IR #CyberSecurity
π Neue Version von #plaso/#log2timeline erschienen!
"super timeline all the things" #DFIR
β‘οΈ https://t.co/Mgco6gXW5C
memory forensics, parsing data with #logstash, and easy to query on #Kibana #DFIR
#zeek #Suricata #KAPE #log2timeline output data #Winlogbeats #Elasticsearch
https://t.co/tebpYzPCIp
A new release of #plaso came out a few days ago, this release has a big change with how NTFS volumes are read resulting in faster processing of them.
#log2timeline #DFIR #IncidentResponse #DigitalForensics
π https://t.co/LhIPNPA6SE
The use of #Plaso framework for forensics is part on the research and It can be a nightmare for any #Forensicator bellow some tips based in my experience trying to avoid any waste of time and headaches π
#WindowForensic #DFIR #BlueTeam #CyberSecurity #4n6 #Log2timeline #Plaso
Neue Version von plaso (#log2timeline) erschienen; DEM forensischen Tool zur Erstellung von Timelines π
#DFIR
β‘οΈ https://t.co/cj8J8kngvS
The #Plaso team have pushed out a new update it includes new plugins for parsing BAM and SetupAPI logs along with APT logs on Debian systems. There is also a change to how the macOS install works from this update onwards.
#DFIR #Log2Timeline #Forensics
https://t.co/6ISJ9kc1Wr
New #plaso release 20190916: https://t.co/FegQx2H9Yk #dfir #log2timeline
It seems the blog (https://t.co/1YFKA2SQj8) is down at the moment after the announcement, but here's the newness cached in @feedly:
#MFTECmd has been updated by @EricRZimmerman and includes parsing $UsnJrnl along with updated output for #Log2Timeline.... really looking forward to $LogFile parsing in the next release.
#DFIR #forensics https://t.co/rLxpRWI08C
Posted a new version of my plaso docker. Now with cdqr baked in. https://t.co/Gi6Z6WcLmx #docker #log2timeline #cdqr #dfir
My first PR for #log2timeline #plaso has been merged πππ, a plugin for macOS NotificationCenter db https://t.co/eylWIklSWj If you have any wish for #macOS related analysis plugins send them my way or open an issue on github #mac4n6 #DFIR
An update to #Plaso (aka #Log2Timeline) was released yesterday with the inclusion of a Google Drive Sync parser. #DFIR #Forensics
https://t.co/S8N84OoaTd
I've fixed l2tpreg https://t.co/0aTvV6qIAf to have the compatibilty with the last release of log2timeline. Enjoy ! #DFIR #log2timeline you can check with run_test ! I try to merge it with the official repo log2timeline !
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