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competition-forensic-timeline

Build an evidence-backed incident timeline in a CTF sandbox by correlating logs, network captures, and other artifacts. Trace attacker actions across sources, distinguish confirmed events from inferred gaps, and preserve the sequence that supports the conclusion.

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原文查看原文说明

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for DFIR chronology, cross-artifact correlation, persistence chains, and incident timeline reconstruction. Use when the user asks to build a forensic timeline, correlate EVTX, PCAP, registry, disk, memory, mailbox, or browser artifacts, explain the order of attacker actions, or pinpoint the stage where the decisive artifact appears. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

查看安装方法

适用场景

  • Combine logs and network captures into an incident timeline
  • Trace attacker actions from initial access to persistence
  • Separate confirmed event order from inferred gaps
  • Identify the sequence containing decisive evidence

包含的文件(3)

  • SKILL.md3.2 KB
  • agents/openai.yaml394 B
  • references/forensic-timeline.md1.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Competition Forensic Timeline

Use this skill only as a downstream specialization after $ctf-sandbox-orchestrator is already active and has established sandbox assumptions, node ownership, and evidence priorities. If that has not happened yet, return to $ctf-sandbox-orchestrator first.

Use this skill when the hard part is not finding one artifact, but turning many artifacts into one replayable chronology.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Pick the smallest reliable anchor: first execution, first logon, first network session, first file write, or first mailbox action.
  2. Normalize timestamps, time zones, hostnames, users, process IDs, message IDs, and file paths before correlating.
  3. Build one minimal chain from foothold to persistence, execution, access, or exfiltration.
  4. Separate confirmed event order from inferred gaps.
  5. Reproduce the decisive timeline segment that yields the artifact or privilege conclusion.

Workflow

1. Establish Timeline Anchors

  • Collect only the active surfaces: EVTX, Sysmon, registry, Amcache, prefetch, browser artifacts, mail traces, PCAPs, memory, or filesystem metadata.
  • Record clock source, timezone, and any drift or truncation that could reorder events.
  • Link shared identifiers across sources: PID, logon ID, GUID, message ID, hostname, username, IP, or hash.

2. Correlate The Execution Graph

  • Track process tree, service or task creation, network sessions, file writes, registry changes, mailbox rules, or token use as one path.
  • Distinguish causal edges from coincidence by matching identifiers and adjacency, not just nearby timestamps.
  • Keep raw artifact and parsed summary side by side so every step can be traced back.

3. Compress To The Decisive Story

  • Reduce the timeline to the smallest sequence that proves initial access, persistence, lateral movement, collection, or artifact recovery.
  • Call out missing validation steps separately instead of mixing them into confirmed chronology.
  • If the task becomes mainly about malware config extraction or a Windows pivot edge, switch to the tighter specialized skill.

Read This Reference

  • Load references/forensic-timeline.md for anchor selection, cross-source correlation, and evidence packaging.
  • If the hard part is packet reassembly, protocol framing, or transferred-object extraction from a capture, prefer $competition-pcap-protocol.

What To Preserve

  • Source file paths, event IDs, logon IDs, message IDs, PIDs, hashes, and timestamps with timezone noted
  • One compact timeline table or ordered list for the decisive segment
  • Raw artifacts, parsed output, and inferred edges kept separate

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