Analyzing Heap Spray Exploitation
使用 Volatility3 插件在内存转储中检测和分析堆喷射攻击，识别 NOP sled 模式、shellcode 落地区域以及进程虚拟地址空间中的可疑大型分配。
Install
$ agentstack add skill-killvxk-cybersecurity-skills-zh-analyzing-heap-spray-exploitation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-killvxk-cybersecurity-skills-zh-analyzing-heap-spray-exploitation) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
分析堆喷射（Heap Spray）利用
概述
堆喷射（Heap Spray）是一种利用技术，将攻击者控制的数据（通常是 NOP sled 后跟 shellcode）填充到进程堆的大面积区域，以提高代码执行漏洞利用的可靠性。本技能涵盖使用 Volatility3 的 malfind、vadinfo 和 memmap 插件在内存转储中检测堆喷射工件、识别可疑连续内存分配、扫描 NOP sled 模式（0x90、0x0c0c0c0c）以及提取嵌入的 shellcode 进行分析。
前置条件
- Python 3.9+，安装
volatility3框架 - 内存转储文件（.raw、.vmem、.dmp 格式）
- 了解虚拟内存布局和 VAD（虚拟地址描述符）树
- 熟悉常见的 shellcode 模式和 NOP sled 编码
工作流程
步骤 1：识别可疑进程
使用 Volatility3 的 windows.malfind 扫描具有可执行注入内存区域的进程。
步骤 2：分析 VAD 条目
使用 windows.vadinfo 检查 VAD 树条目，查找具有 RWX 权限的大型连续分配。
步骤 3：扫描 NOP Sled 模式
在可疑内存区域中搜索 NOP sled 签名（0x90 序列、0x0c0c0c0c 模式）。
步骤 4：提取和分析 Shellcode
转储可疑内存区域，使用字节模式分析识别 shellcode。
输出格式
JSON 报告，包含可疑进程、堆喷射指标、NOP sled 位置、内存区域大小和提取的 shellcode 哈希值。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: killvxk
- Source: killvxk/cybersecurity-skills-zh
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.