Analyzing Heap Spray Exploitation
FreeDetect and analyze heap spray attacks in memory dumps.
Free · Opens the source repo
What Analyzing Heap Spray Exploitation does
Heap spraying is a common technique used by attackers to ensure reliable code execution by filling a process's heap with controlled data. This skill provides a structured approach to detect and analyze heap spray artifacts within memory dumps using the Volatility3 framework. By leveraging plugins such as malfind, vadinfo, and memmap, users can identify suspicious memory allocations, scan for NOP sled patterns, and extract embedded shellcode for further analysis.
The skill is particularly useful for security analysts and researchers who need to investigate security incidents involving heap spray exploitation. It guides users through a series of steps, starting from identifying suspicious processes through to analyzing virtual address descriptor (VAD) entries and scanning for known NOP sled signatures. The output is a comprehensive JSON report that details suspicious processes, heap spray indicators, and extracted shellcode hashes, making it easier to validate security monitoring coverage.
To effectively utilize this skill, users should have a solid understanding of virtual memory layout and be familiar with common shellcode patterns. The prerequisites include having Python 3.9 or higher installed along with the Volatility3 framework, as well as access to memory dump files in supported formats. This skill is ideal for those working in security operations centers (SOCs) looking to enhance their detection capabilities or for researchers focused on exploit analysis.
Overall, this skill streamlines the process of heap spray exploitation analysis, providing a clear methodology and expected outcomes that can significantly aid in threat hunting and incident response efforts.
When to use it
Use this skill when investigating security incidents related to heap spray exploitation or when building detection rules for such attacks.
When not to use it
This skill may not be suitable for general malware analysis that does not involve heap spray techniques.
What you can build with it
Incident Response Investigation
Utilize this skill during a security incident to detect and analyze potential heap spray attacks in memory dumps.
Threat Hunting
Employ this skill to build detection rules or queries that identify heap spray exploitation patterns in your environment.
Malware Analysis
Use the skill to analyze memory dumps from suspected malware to extract and study embedded shellcode.
How to install Analyzing Heap Spray Exploitation
View source1. Install with the skills CLI
npx skills add mukul975/anthropic-cybersecurity-skills/analyzing-heap-spray-exploitation --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by mukul975Analyzing Heap Spray Exploitation
Overview
Heap spraying is an exploitation technique that fills large regions of a process's heap with attacker-controlled data (typically NOP sleds followed by shellcode) to increase the reliability of code execution exploits. This skill covers detecting heap spray artifacts in memory dumps using Volatility3's malfind, vadinfo, and memmap plugins, identifying suspicious contiguous memory allocations, scanning for NOP sled patterns (0x90, 0x0c0c0c0c), and extracting embedded shellcode for analysis.
When to Use
- When investigating security incidents that require analyzing heap spray exploitation
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Python 3.9+ with
volatility3framework installed - Memory dump file (.raw, .vmem, .dmp format)
- Understanding of virtual memory layout and VAD (Virtual Address Descriptor) trees
- Familiarity with common shellcode patterns and NOP sled encodings
Steps
Step 1: Identify Suspicious Processes
Use Volatility3 windows.malfind to scan for processes with executable injected memory regions.
Step 2: Analyze VAD Entries
Examine VAD tree entries using windows.vadinfo for large contiguous allocations with RWX permissions.
Step 3: Scan for NOP Sled Patterns
Search suspicious memory regions for NOP sled signatures (0x90 sequences, 0x0c0c0c0c patterns).
Step 4: Extract and Analyze Shellcode
Dump suspicious memory regions and identify shellcode using byte pattern analysis.
Expected Output
JSON report with suspicious processes, heap spray indicators, NOP sled locations, memory region sizes, and extracted shellcode hashes.
Frequently asked questions about Analyzing Heap Spray Exploitation
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