Skip to content
Skillv1.0.0

heap-spray-expltt

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 spac

by Undermybelt(0) 0 installs
Free
Sign in to install

Free account. Installing gives you the manifest plus copy-paste snippets.

See reviews

About

Imported from Undermybelt/hermes-skills (skills/red-teaming/anthropic-cybersecurity-skills/skills/heap-spray-expltt/SKILL.md). Install upstream with npx skills add Undermybelt/hermes-skills --skill heap-spray-expltt. Copyright stays with the author (Apache-2.0).

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.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/undermybelt-hermes-skills-heap-spray-expltt/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

undermybelt-hermes-skills-heap-spray-expltt.ocm.jsonjson
{
  "ocm": "1",
  "id": "undermybelt-hermes-skills-heap-spray-expltt",
  "kind": "skill",
  "name": "heap-spray-expltt",
  "description": "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.",
  "publisher": "Undermybelt",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "malware-analysis",
      "memory-forensics",
      "heap-spray",
      "volatility3",
      "exploit-analysis",
      "github"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "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."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github",
      "repository": "https://github.com/Undermybelt/hermes-skills",
      "path": "skills/red-teaming/anthropic-cybersecurity-skills/skills/heap-spray-expltt/SKILL.md",
      "ref": "d2296d2cbe142a98b3e7994e538c3430e7a513e0",
      "url": "https://github.com/Undermybelt/hermes-skills/blob/d2296d2cbe142a98b3e7994e538c3430e7a513e0/skills/red-teaming/anthropic-cybersecurity-skills/skills/heap-spray-expltt/SKILL.md",
      "key": "Undermybelt/hermes-skills/skills/red-teaming/anthropic-cybersecurity-skills/skills/heap-spray-expltt/SKILL.md"
    },
    "license": "Apache-2.0"
  },
  "instructions": "# Analyzing Heap Spray Exploitation\n\n## Overview\n\nHeap 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.\n\n\n## When to Use\n\n- When investigating security incident",
  "cost": {
    "context_tokens": 460
  }
}

Fetch it by URL: GET /api/v1/registry/undermybelt-hermes-skills-heap-spray-expltt/manifest?version=1.0.0

Reviews

Star ratings from people who tried it. One review per account; edit yours any time.

No reviews yet. Install it, try it, and be the first to rate it.