Plaso, also known as log2timeline, is a Python-based digital forensics framework that builds timelines from timestamped events found in individual files, directories, storage media images, and devices.
It aggregates extracted events and collection metadata into a Plaso storage file, giving investigators a structured way to examine activity across many different data sources and then post-process the results with dedicated analysis tools.
This is free and open source software.
Key Features
- Creates super timelines by extracting events from files, directories, storage media images, and devices.
- Includes command line tools such as log2timeline, image_export, pinfo, psort, and psteal.
- Stores extracted events together with collection metadata in a Plaso storage file.
- Lets investigators filter, sort, and run automatic analysis on timeline data with psort.
- Supports targeted collection using forensic artifacts definitions and filter files.
- Provides broad parser and plugin support for many data sources used in forensic investigations.
Website: github.com/log2timeline/plaso
Support:
Developer: Log2Timeline maintainers
License: Apache License 2.0
Plaso is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
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| The Sleuth Kit | Collection of tools for forensic analysis |
| Autopsy Forensic Browser | Graphical interface to SleuthKit |
| iaito | Official graphical interface for radare2 |
| Volatility | Advanced memory forensics framework |
| guymager | Forensic imaging tool based on Qt |
| dcfldd | Enhanced version of dd for forensics and security |
| rdd | Forensic copy program |
| Jomon | Network forensics and passive sniffer |
| Mozilla InvestiGator | Real-time digital forensics and investigation platform |
Read our verdict in the software roundup.
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