analyzing-heap-spray-exploitation
Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.
Best use case
analyzing-heap-spray-exploitation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.
Teams using analyzing-heap-spray-exploitation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analyzing-heap-spray-exploitation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-heap-spray-exploitation Compares
| Feature / Agent | analyzing-heap-spray-exploitation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Analyzing 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 `volatility3` framework 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.
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