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offensive-vuln-classes

This Claude Code skill provides a structured exploit development curriculum focusing on core memory corruption vulnerability classes including stack/heap buffer overflows, use-after-free, integer overflows, format strings, type confusion, and race conditions. Use it when learning vulnerability classification, analyzing CVE case studies, researching specific exploitation patterns, or building foundational knowledge in exploit development methodology.

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git clone --depth 1 https://github.com/SnailSploit/Claude-Red /tmp/offensive-vuln-classes && cp -r /tmp/offensive-vuln-classes/Skills/fuzzing/offensive-vuln-classes ~/.claude/skills/offensive-vuln-classes
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

# SKILL: Week 1: Vulnerability Classes with Real-World Examples

## Metadata
- **Skill Name**: vulnerability-classes
- **Folder**: offensive-vuln-classes
- **Source**: https://github.com/SnailSploit/offensive-checklist/blob/main/1-vulnerability-classes.md

## Description
Exploit development curriculum covering core vulnerability classes with real-world CVE case studies: stack/heap buffer overflows, use-after-free, integer overflows, format strings, type confusion, and race conditions. Use when learning or teaching vuln classes, researching specific CVE patterns, or building exploit dev knowledge.

## Trigger Phrases
Use this skill when the conversation involves any of:
`vulnerability classes, buffer overflow, use-after-free, UAF, heap overflow, stack overflow, type confusion, integer overflow, format string, memory corruption, CVE case study, exploit development, Day 1-7`

## Instructions for Claude

When this skill is active:
1. Load and apply the full methodology below as your operational checklist
2. Follow steps in order unless the user specifies otherwise
3. For each technique, consider applicability to the current target/context
4. Track which checklist items have been completed
5. Suggest next steps based on findings

---

## Full Methodology

# Week 1: Vulnerability Classes with Real-World Examples

## Course Overview

_created by AnotherOne from @Pwn3rzs Telegram channel_.

This document is Week 1 of a multi‑week exploit development course, focusing on core vulnerability classes and real‑world exploitation context.

Next Week we'll focus on using fuzzing to identify new vulnerabilites and in week 3 we'll focus on using patch diffing to find n-days

## Day 1: Memory Corruption Fundamentals

- **Goal**: Understand primary memory corruption vulnerability classes and their real-world impact.
- **Activities**:
  - _Reading_:
    - "The Art of Software Security Assessment" by Mark Dowd, John McDonald, Justin Schuh - Chapter 5: Memory Corruption
    - [Memory Corruption: Examples, Impact, and 4 Ways to Prevent It](https://sternumiot.com/iot-blog/memory-corruption-examples-impact-and-4-ways-to-prevent-it/)
  - _Online Resources_:
    - [Microsoft Security Research: Memory Safety](https://www.microsoft.com/en-us/research/project/checked-c/)
    - [Google Project Zero Blog](https://googleprojectzero.blogspot.com/) - Read recent memory corruption findings
  - _Concepts_:
    - What is memory corruption and why does it matter?
    - Understanding the stack, heap, and their differences
    - The lifecycle of memory: allocation → use → deallocation

### Stack Buffer Overflow

**What It Is**: A stack overflow occurs when a program writes more data to a buffer located on the stack than it can hold, causing adjacent memory to be overwritten. This can corrupt important data like return addresses, allowing attackers to redirect program execution.

**Case Study - CVE-2024-27130 (QNAP QTS/QuTS hero Stack Overflow)**:

- **The Bug**: QNAP's QTS and QuTS hero operating systems contained multiple buffer copy vulnerabilities where unsafe functions like `strcpy()` were used to copy user-supplied input into fixed-size stack buffers without proper size validation. The vulnerabilities affected the web administration interface and file handling components. [POC](https://github.com/watchtowrlabs/CVE-2024-27130)
- **The Attack**: An authenticated remote attacker could send specially crafted requests with oversized input to vulnerable endpoints. The unchecked data would overflow stack buffers, corrupting adjacent memory including return addresses and saved frame pointers.
- **The Impact**: Remote code execution with the privileges of the QNAP system service. The attacker could gain complete control over the NAS device, accessing stored data, pivoting to other network resources, or installing persistent backdoors.
- **The Fix**: QNAP released QTS 5.1.7.2770 build 20240520 and QuTS hero h5.1.7.2770 build 20240520 in May 2024, replacing unsafe string copy functions with bounds-checked alternatives and implementing additional input validation.
- **Why It Matters**: Stack overflows remain common in embedded devices and NAS systems running legacy C/C++ code. They're particularly dangerous in internet-facing administration interfaces and often provide the initial foothold for sophisticated attack chains against enterprise infrastructure.

### Use-After-Free (UAF)

**What It Is**: A use-after-free vulnerability occurs when a program continues to use a pointer after the memory it points to has been freed. This creates a "dangling pointer" that can be exploited by carefully controlling heap allocations to place attacker-controlled data where the freed object once lived.

**Case Study - CVE-2024-2883 (Chrome ANGLE Use-After-Free)**:

- **The Bug**: Google Chrome's ANGLE (Almost Native Graphics Layer Engine) component, which translates OpenGL ES API calls to DirectX, Vulkan, or native OpenGL, contained a use-after-free vulnerability. The bug occurred when WebGL contexts were destroyed while still referenced by pending graphics operations, leaving dangling pointers to freed graphics objects.
- **The Attack**: An attacker could create a malicious HTML page with specially crafted WebGL JavaScript code that triggered rapid creation and destruction of graphics contexts. By carefully timing these operations, the attacker could cause ANGLE to reference already-freed memory. Using heap spray and heap feng-shui techniques, the attacker could control the contents of the freed memory region.
- **The Impact**: Remote code execution via a crafted web page with no user interaction beyond visiting the page. By placing a fake object in the freed memory location, the attacker could hijack control flow and execute arbitrary code in the renderer process. This could be chained with sandbox escape exploits for full system compromise.
- **The Fix**: Google Chrome 123.0.6312.86 (released March 2024) fixed the vulnerability by implementing proper
offensive-active-directorySkill

Active Directory attack methodology for internal network red team engagements. Covers reconnaissance (BloodHound, PowerView, ADExplorer), credential abuse (Kerberoasting, ASREProasting, NTLM relay, LLMNR/NBT-NS poisoning), privilege escalation (ACL abuse, GPO abuse, unconstrained/constrained delegation), lateral movement (Pass-the-Hash, Pass-the-Ticket, Overpass-the-Hash, WMI/WinRM/PsExec), persistence (Golden/Silver/Diamond Tickets, DCSync, DCShadow, AdminSDHolder, Skeleton Key), forest trust attacks, ADCS abuse (ESC1-ESC15), and modern MDI/Defender for Identity evasion. Use when assessing on-prem AD, hybrid AD/Entra ID environments, or ADCS deployments.

offensive-advanced-redteamSkill

Comprehensive red team operations methodology covering full engagement lifecycle from planning through reporting. Addresses engagement scoping and rules of engagement negotiation, multi-tier C2 infrastructure design with redirectors and domain fronting, malleable traffic profiles and beacon tradecraft, OPSEC discipline including attribution avoidance and indicator management, EDR and AMSI evasion techniques using direct syscalls and unhooking, data collection with chain-of-custody controls, and structured reporting with purple team debrief workflows. Covers assumed-breach, external-to-internal, insider threat, and hybrid physical-cyber engagement scenarios with MITRE ATT&CK mapping throughout. Targets operators planning or executing adversary simulation engagements against mature defenders.

offensive-ai-securitySkill
offensive-anti-forensicsSkill

Anti-forensics and evidence destruction techniques for red team operators conducting authorized engagements. Covers log clearing on Windows (wevtutil, Clear-EventLog, ETW provider patching) and Linux (journal truncation, utmp/wtmp binary editing, syslog manipulation), timestamp manipulation via Timestomp and SetMACE to defeat timeline analysis, filesystem-level anti-forensics including NTFS Alternate Data Streams for payload hiding and secure deletion with sdelete/shred, memory artifact removal to counter live forensics, disk artifact manipulation targeting MFT entries and USN journal records, network forensics evasion through encrypted C2 channels and DNS-over-HTTPS tunneling, and anti-VM/sandbox detection to avoid dynamic analysis environments. Tools: Timestomp, wevtutil, sdelete, shred, MimiPenguin, Invoke-Phant0m. Aligns to MITRE ATT&CK T1070 (Indicator Removal), T1027 (Obfuscated Files or Information), T1497 (Virtualization/Sandbox Evasion). Each technique includes the forensic artifact it targets, the destruction or manipulation method, and the defender perspective so operators understand detection gaps they must account for.

offensive-api-abuseSkill

Advanced API exploitation methodology focused on business logic abuse and sophisticated attack patterns that bypass traditional security controls. Covers business logic bypass through API call chaining and workflow manipulation. Addresses GraphQL-specific attacks including batching for credential brute-force, query depth exploitation, and introspection abuse. Includes pagination exploitation for data exfiltration, webhook hijacking for SSRF and data interception, and resource exhaustion through algorithmic complexity attacks. Covers race conditions in API transactions using parallel request techniques. Provides comprehensive JWT manipulation including algorithm confusion, kid injection, jku/x5u abuse, and claim tampering. Details API key leakage detection across source repositories, client-side code, and error messages. Covers undocumented endpoint discovery through predictable naming, debug routes, and source map analysis. Tooling includes Arjun, ParamSpider, jwt_tool, and GraphQL Voyager. Designed for authorized penetration testers targeting business logic layers that automated scanners miss.

offensive-api-securitySkill

Comprehensive API security testing methodology covering REST, gRPC, and WebSocket attack surfaces. Addresses the full OWASP API Security Top 10 2023 including BOLA/IDOR, broken authentication, excessive data exposure, rate limiting bypass, BFLA, mass assignment, SSRF, and security misconfiguration. Includes REST-specific attacks such as HTTP verb tampering, content-type switching, and parameter pollution. Covers gRPC exploitation through protobuf interception, reflection API enumeration, and metadata injection. Addresses WebSocket vulnerabilities including origin bypass, message injection, and cross-site WebSocket hijacking. Provides tooling guidance for Burp Suite, Postman, grpcurl, websocat, and mitmproxy. Each technique includes detection signatures and defensive indicators so you understand what artifacts your testing leaves behind. Designed for authorized penetration testing engagements against API-driven architectures.

offensive-basic-exploitationSkill
offensive-bluetooth-bleSkill

Bluetooth Low Energy (BLE) attack methodology — GATT enumeration, characteristic read/write without auth, pairing downgrade (Just Works forced), LE Secure Connections bypass, MITM via active relay, sniffing with Sniffle (TI CC1352) / Ubertooth / Frontline, encryption key extraction (LE Legacy Pairing crackable, LE Secure Connections strong), proximity authentication abuse (cars, locks), and companion-app trust analysis. Use for IoT BLE devices, smart locks, fitness trackers, medical devices, BLE beacons, or any device pairing over BLE.