Can it extract shellcode for analysis?

Yes, the skill provides specific procedures to dump suspicious memory regions and generate hashes for extracted shellcode payloads.

How does it identify a heap spray attack?

It identifies attacks by scanning the Virtual Address Space for large, contiguous memory allocations that contain repetitive NOP sled patterns or shellcode landing zones.

What tools does this skill require?

This skill requires Python 3.9+ and the Volatility3 framework installed to process and analyze memory dump files.

Which memory dump formats are supported?

It supports standard forensic memory formats including .raw, .vmem, and .dmp files for cross-platform analysis.

Is this suitable for automated threat hunting?

Yes, it provides structured analysis procedures that can be integrated into SOC workflows and automated detection pipelines for proactive threat hunting.

Heap Spray Exploitation Analysis

Name: Heap Spray Exploitation Analysis
Author: micsapp

bymicsapp

0•

Security & Testing

Detects and analyzes heap spray attacks in memory dumps by identifying NOP sled patterns and suspicious memory allocations using Volatility3.

This skill equips Claude with the specialized knowledge to perform deep memory forensics on heap spray attacks, a common technique used to increase exploit reliability. By leveraging the Volatility3 framework, it guides users through identifying injected memory regions, analyzing Virtual Address Descriptor (VAD) trees for large contiguous allocations, and scanning for characteristic NOP sled signatures such as 0x90 or 0x0c0c0c0c. It is an essential tool for SOC analysts, incident responders, and malware researchers needing to validate security incidents and extract shellcode for further behavioral analysis.

Key Features

01Automated detection of suspicious executable injected memory regions using malfind

020 GitHub stars

03Detailed VAD (Virtual Address Descriptor) tree analysis for identifying RWX permissions

04Structured JSON report generation for suspicious processes and memory indicators

05Extraction and hashing of embedded shellcode for further forensic investigation

06Signature-based scanning for common NOP sled patterns and exploitation artifacts

Use Cases

01Automating the forensic analysis of memory dumps to identify and extract malware payloads

02Investigating suspected memory-resident exploits during an active security incident response

03Developing and validating threat hunting queries for advanced heap spray detection

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills analyzing-heap-spray-exploitation

For use in Claude.ai and ChatGPT

Key Features

01Automated detection of suspicious executable injected memory regions using malfind

020 GitHub stars

03Detailed VAD (Virtual Address Descriptor) tree analysis for identifying RWX permissions

04Structured JSON report generation for suspicious processes and memory indicators

05Extraction and hashing of embedded shellcode for further forensic investigation

06Signature-based scanning for common NOP sled patterns and exploitation artifacts

Use Cases

01Automating the forensic analysis of memory dumps to identify and extract malware payloads

02Investigating suspected memory-resident exploits during an active security incident response

03Developing and validating threat hunting queries for advanced heap spray detection