Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add killvxk/cybersecurity-skills-zh --skill analyzing-heap-spray-exploitationgit clone --depth 1 https://github.com/killvxk/cybersecurity-skills-zhWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-heap-spray-exploitation)<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-heap-spray-exploitation"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-heap-spray-exploitation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-heap-spray-exploitation"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-heap-spray-exploitation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.00544 |
| Opus 5 | $0.00030 | $0.00272 |
| Sonnet 5 | $0.00012 | $0.00109 |
| Haiku 4.5 | $0.00006 | $0.00054 |
Grade A, and why
analyzing-heap-spray-exploitation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 41 lines · 59 tokens per session scan A 075b7fc294fc
analyzing-heap-spray-exploitation is a skill published in the GitHub repository killvxk/cybersecurity-skills-zh (44 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 544 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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.
analyzing-heap-spray-exploitation
Use when 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. Use when detecting and analyze heap spray attacks in memory dumps using.
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.
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.
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.
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.