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competition-malware-config

Recover hidden malware settings and communication parameters in an isolated CTF environment. Document how values are decoded, preserve supporting evidence, and connect recovered fields to the sample’s observed behavior.

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Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for malware configuration recovery, staged payload boundaries, beacon parameter extraction, and IOC decoding. Use when the user asks to recover a malware config, decode C2 or beacon fields, unpack staged payloads, extract bot or campaign IDs, or tie recovered config to observed protocol behavior under sandbox assumptions. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

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适用场景

  • Recovering hidden malware configuration fields
  • Decoding command server addresses and beacon settings
  • Separating loaders from staged payloads
  • Connecting recovered settings to network behavior

包含的文件(3)

  • SKILL.md2.7 KB
  • agents/openai.yaml376 B
  • references/malware-config.md1.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Competition Malware Config

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 decisive value is not just "what the sample does," but which config fields, stages, or network parameters the sample hides and when they become plaintext.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Preserve the original sample before unpacking or patching.
  2. Separate loader, payload, config blob, and post-decode behavior.
  3. Rank candidate config blobs by entropy, field shape, nearby strings, and decode helpers.
  4. Record the exact transform chain for each recovered field.
  5. Reproduce the decoded config or beacon parameters from the smallest possible path.

Workflow

1. Find The Config Boundary

  • Inspect sections, resources, embedded archives, strings, imports, and decode helpers.
  • Identify where config is stored: resource, overlay, encrypted blob, registry seed, network bootstrap, or stage2 memory.
  • Keep one note of when each value becomes plaintext.

2. Reconstruct The Decode Chain

  • Recover the chain in order: container -> compression -> encoding -> xor/substitution -> crypto -> parse.
  • Group all config fields from the same chain together instead of treating them as unrelated clues.
  • Preserve hashes, offsets, keys, IVs, masks, and parsed fields in one compact evidence block.

3. Tie Config To Behavior

  • Show which field affects which branch: beacon path, mutex, wallet, bot id, campaign, tasking route, persistence name, or process target.
  • Correlate decoded config with PCAPs, process trees, or stage2 strings when possible.

Read This Reference

  • Load references/malware-config.md for the config-hunting checklist, staged-sample checklist, and evidence packaging rules.

What To Preserve

  • Original artifact, unpacked layer, dumped stage, and parsed config as separate artifacts
  • Offsets, hashes, decode helpers, keys, masks, and field names
  • The branch or protocol step each recovered field actually influences

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