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plaso — Digital forensics engine that parses logs, files, and system artifacts to build super timelines, enabling chronological event correlation for investigations. | Kitploit
Tools/GitHubGitHub/log2timeline/plaso
Disk ForensicsIndicator of Compromise (IOC) ManagementForensicsMobile ForensicsData RecoveryDigital ForensicsIncident ResponseLog AnalysisTop in Data Recovery #14Top in Digital Forensics #4
2.2k4262716 days agoReviewed by Kitploit

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Top in Disk Forensics #3
Top in Forensics #4
Top in Incident Response #8
Top in Indicator of Compromise (IOC) Management #19
Top in Log Analysis #17
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GitHublog2timeline/plaso

plaso

Digital forensics engine that parses logs, files, and system artifacts to build super timelines, enabling chronological event correlation for investigations.

View RepositoryWebsite

Plaso (Plaso Langar Að Safna Öllu) - super timeline all the things

Plaso (Plaso Langar Að Safna Öllu), or super timeline all the things, is a Python-based engine used by several tools for automatic creation of timelines. Plaso default behavior is to create super timelines but it also supports creating more targeted timelines.

These timelines support digital forensic investigators/analysts, to correlate the large amount of information found in logs and other files found on an average computer.

A longer version

The initial purpose of Plaso was to collect all timestamped events of interest on a computer system and have them aggregated in a single place for computer forensic analysis (aka Super Timeline).

However Plaso has become a framework that supports:

  • adding new parsers or parsing plug-ins;
  • adding new analysis plug-ins;
  • writing one-off scripts to automate repetitive tasks in computer forensic analysis or equivalent.

And is moving to support:

  • adding new general purpose parses/plugins that may not have timestamps associated to them;
  • adding more analysis context;
  • tagging events;
  • allowing more targeted approach to the collection/parsing.

Also see

  • Homepage
  • Downloads
  • Documentation
  • Contact information:
    • Plaso channel on Open Source DFIR Slack community
    • Mailing list for general discussions: log2timeline-discuss
    • Mailing list for development: log2timeline-dev
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