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analyzing-heap-spray-exploitation 精选

Detect and analyze heap spray attacks in memory dumps using Volatility3

在 GitHub 打开

安装方式

cp -r skills/analyzing-heap-spray-exploitation ~/.claude/skills/analyzing-heap-spray-exploitation

把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/

整仓一次性获取:git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git

依赖与权限

  • 无需 API Key
  • 无需联网
  • 依赖外部命令:python
  • 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。

SKILL.md 正文

来源 mukul975/Anthropic-Cybersecurity-Skills@54a7988 · 许可 Apache-2.0 · 内容未修改

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.

质量与来源

所属仓库
mukul975/Anthropic-Cybersecurity-Skills
仓库星标
3.4 万
最近更新
1 个月前
采集时间
今天
commit
54a798831d22
内容指纹
sha256:93825dc2e7d0ba8
文件路径
skills/analyzing-heap-spray-exploitation/SKILL.md

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