Individual skill
performing-timeline-reconstruction-with-plaso
Build comprehensive forensic super-timelines using Plaso (log2timeline) to correlate events across file systems, logs, and artifacts into a unified chronological view.
internal/tools/skills/data/digital-forensics/performing-timeline-reconstruction-with-plaso/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- forensics Declared skill tag
- timeline-analysis Declared skill tag
- plaso Declared skill tag
- log2timeline Declared skill tag
- super-timeline Declared skill tag
- event-correlation Declared skill tag
- engineering Derived category
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# Performing Timeline Reconstruction with Plaso
## When to Use
- When building a comprehensive forensic timeline from multiple evidence sources
- For correlating events across file system metadata, event logs, browser history, and registry
- During complex investigations requiring chronological reconstruction of activities
- When standard log analysis is insufficient to establish the sequence of events
- For presenting investigation findings in a visual, chronological format
## Detection Gaps & Validation
A super-timeline's greatest weakness is that it makes noise and forged timestamps look identical to ground truth. Guard against these:
- **Timezone and clock errors corrupt the whole timeline.** Plaso stores events in UTC, but parsers infer source timezones; run `log2timeline.py` with the correct `--timezone` and confirm the image's `TimeZoneInformation` registry value. A wrong offset or a host whose clock was manually changed silently shifts events, fabricating false sequences. State the timezone basis in every report.