analyzing-heap-spray-exploitation
This skill provides structured procedures for detecting heap spray exploitation artifacts in memory forensics investigations using Volatility3 framework. Use it when analyzing memory dumps to identify suspicious heap allocations, NOP sled patterns, and injected shellcode, or when building detection rules and threat hunting queries for heap spray attacks during incident response and security monitoring validation.
git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills /tmp/analyzing-heap-spray-exploitation && cp -r /tmp/analyzing-heap-spray-exploitation/skills/analyzing-heap-spray-exploitation ~/.claude/skills/analyzing-heap-spray-exploitationSKILL.md
# 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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