competition-malware-config

Name: competition-malware-config
Availability: InStock
Author: xjtu-wang

Recover malware configuration fields, staged payloads, and beacon parameters from sandboxed samples.

4|Updated Apr 9, 2026

Search Tags:#sandbox #forensics #malware-analysis #evidence-management #config-recovery #decode-chain

Ready to run

npx skills add https://github.com/xjtu-wang/DigAgent --skill competition-malware-config

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: competition-malware-config
Source: https://github.com/xjtu-wang/DigAgent/tree/main/.agents/skills/competition-malware-config
Command: npx skills add https://github.com/xjtu-wang/DigAgent --skill competition-malware-config

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps security analysts extract and reconstruct hidden malware configuration data, staging layers, and beacon parameters from sandboxed samples after the $ctf-sandbox-orchestrator has established context.

Core Features & Use Cases

Downstream specialization after $ctf-sandbox-orchestrator is active, enabling recovery of hidden configuration fields, staging payloads, and related artifacts.
Reconstruct decode chains to map config fields to observed behavior, correlating with PCAPs, process trees, or stage2 strings.
Tie recovered config fields to behavior such as beacon routes, persistence names, or tasking decisions, facilitating reproducible investigation workflows.

Quick Start

Preserve the original sample before unpacking or patching.

Frequently Asked Questions about competition-malware-config

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I recover malware configuration details from sandboxed samples?▼

To recover malware configuration details from sandboxed samples, reconstruct the decode chain to extract hidden config fields, staging payloads, and beacon parameters while preserving offsets, hashes, and keys for reproducible validation.

How does decode chain reconstruction map config fields to observed behavior?▼

Decode chain reconstruction maps config fields to observed behavior by correlating extracted parameters with PCAPs, process trees, or stage2 strings, tying recovered config data to beacon routes, persistence names, and tasking decisions.

Do I need a sandbox orchestrator before extracting beacon parameters?▼

Yes, you need a sandbox orchestrator to establish sandbox assumptions and observed artifacts before extracting beacon parameters, as config recovery relies on the context and staged payloads generated during the initial sandbox execution.

What is the best way to preserve evidence during malware config recovery?▼

The best way to preserve evidence during malware config recovery is to maintain the original sample before unpacking or patching, and rigorously document recovered fields with offsets, hashes, and keys to support reproducible validation.

Can I correlate recovered config fields with process trees and PCAPs?▼

Yes, you can correlate recovered config fields with process trees and PCAPs to evaluate cross-sample decode paths, map config data to beacon routes and tasking decisions, and facilitate reproducible investigation workflows.

Why are my recovered malware config fields not validating across samples?▼

Recovered malware config fields may not validate across samples if the decode chain reconstruction lacks rigorous offset and hash preservation, or if sandbox assumptions and observed artifacts were not properly established beforehand.