offensive-fuzzing
Practical offensive fuzzing methodology covering target identification, fuzzer selection (AFL++, libFuzzer, Honggfuzz, Boofuzz, syzkaller), harness writing, corpus curation, mutation strategies, coverage measurement, and crash triage. Use when setting up or running fuzz campaigns against any target: file parsers, network protocols, kernel drivers, EDR engines, embedded firmware, or language runtimes.
适合你,如果你需要系统化地对软件进行模糊测试来发现潜在漏洞。
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
~/.claude/skills/(项目级 .claude/skills/)~/.codex/skills/npx oh-my-skill add snailsploit/claude-red/offensive-fuzzingcurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- snailsploit/claude-red/offensive-fuzzingnpx oh-my-skill verify snailsploit/claude-red/offensive-fuzzing怎么用
商店整理自技能原文 · 版本 aeb41ec · 表述以原文为准安装后,Claude 能指导你完成模糊测试的完整流程:从选择工具(如 AFL++、libFuzzer)、编写测试代码、准备输入样本,到分析崩溃原因。
当你需要测试软件或系统(如文件解析器、网络协议、内核驱动)的安全性,寻找潜在漏洞时触发。
技能原文 SKILL.md
Offensive Fuzzing
Fuzzer Types
| Type | Coverage | Speed | Tools | |------|----------|-------|-------| | BlackBox | Poor | Fast | Peach, Boofuzz | | GreyBox | Good | Fast | AFL++, Honggfuzz, libFuzzer, WinAFL | | Snapshot | Good | Fastest | Nyx, wtf, Snapchange | | WhiteBox | Best | Slow | KLEE, QSYM, SymSan | | Ensemble | Best | Fast | AFL++ + Honggfuzz + libFuzzer |
GreyBox sub-variants: Directed (AFLGo, UAFuzz), Grammar (AFLSmart, Tlspuffin), Concolic (QSYM, Driller), Kernel (syzkaller, kAFL, wtf).
Core Workflow
Research target → Choose analyses → Build harness → Seed corpus → Instrument → Fuzz → Triage crashes → Report
1. Research Target
- Map all input surfaces (files, network, IPC, syscalls, IOCTL)
- Identify high-value areas: previously patched code, complex parsers, newly added code, input ingestion points
- For kernel modules: look beyond
copy_from_user— DMA-BUF ops, page fault handlers, VM operation structs, allocation callbacks
2. Instrument and Build
# AFL++ (preferred for GreyBox) CC=afl-clang-fast CXX=afl-clang-fast++ cmake -DCMAKE_BUILD_TYPE=Release .. && make -j # libFuzzer + ASan/UBSan (C/C++) cmake -DCMAKE_CXX_FLAGS="-fsanitize=fuzzer,address,undefined -O1 -g" .. # CmpLog build for hard compares AFL_LLVM_CMPLOG=1 CC=afl-clang-fast CXX=afl-clang-fast++ make clean all
Windows (MSVC): Project Properties → C/C++ → Address Sanitizer: Yes (/fsanitize=address)
3. Write Harness
libFuzzer (C++):
#include <cstdint>
#include <cstddef>
extern "C" int LLVMFuzzerTestOneInput(const uint8_t* data, size_t size) {
parse_or_process(data, size);
return 0;
}
Honggfuzz HF_ITER (persistent mode — preferred for large targets):
#include "honggfuzz.h"
int main(int argc, char** argv) {
initialize_target(); // runs once
for (;;) {
size_t len; uint8_t *buf;
HF_ITER(&buf, &len);
FILE* s = fmemopen(buf, len, "r");
target_function(s);
fclose(s);
reset_target_state();
}
}
AFL++ persistent mode (__AFL_LOOP):
while (__AFL_LOOP(10000)) {
// re-read input and process
}
macOS IPC (Mach message fuzzing):
void *lib_handle = dlopen("libexample.dylib", RTLD_LAZY);
pFunction = dlsym(lib_handle, "DesiredFunction");
4. Build Seed Corpus
- Pull from target's test suite, bug reports, and real-world samples
- Web-crawl (Common Crawl) for file formats; filter by MIME type
- Minimize:
afl-cmin -i raw_corpus -o seeds -- ./target @@ - Trim inputs:
afl-tmin -i crash -o crash.min -- ./target @@
5. Launch Fuzzing
AFL++ parallel (primary + secondary with cmplog):
afl-fuzz -M f1 -i seeds -o findings -x dict.txt -- ./target @@ afl-fuzz -S s1 -i seeds -o findings -c 0 -- ./target @@
libFuzzer:
./target_libfuzzer corpus/ -max_total_time=3600 -workers=4
Binary-only (QEMU):
afl-fuzz -Q -i seeds -o findings -- target.exe @@
Snapshot (AFL++ Nyx):
NYX_MODE=1 AFL_MAP_SIZE=1048576 afl-fuzz -i seeds -o findings -- ./target_nyx @@
Ensemble (AFL++ + Honggfuzz sharing corpus):
# Terminal 1 afl-fuzz -M fuzzer1 -i seeds -o sync_dir -- ./target @@ # Terminal 2 ../honggfuzz/honggfuzz -i sync_dir/fuzzer1/queue -W sync_dir/hfuzz \ --linux_perf_ipt_block -t 10 -- ./target ___FILE___
6. Monitor and Unstick
If progress stalls:
- Enable CmpLog:
-c 0on AFL++ secondaries - Add dictionary:
-x dict.txtorAFL_TOKEN_FILE - Switch to directed fuzzing (AFLGo) targeting specific BBs/functions
- Use concolic assistance (QSYM, Driller) on hard branches
- Snapshot the target to increase exec/s
AFL_MAP_SIZE=1048576,-L 0for MOpt scheduler
7. Triage Crashes
# 1. Minimize afl-tmin -i crash -o crash.min -- ./target @@ # 2. Symbolize ASAN_OPTIONS=abort_on_error=1:symbolize=1 ./target crash.min 2>asan.log # 3. Hash + bucket ./cov-tool --bbids ./target crash.min > cov.hash ./bucket.py --key "$(cat cov.hash)" --log asan.log --out triage/
Sanitizer env quick reference:
ASAN_OPTIONS=abort_on_error=1:symbolize=1:detect_stack_use_after_return=1 UBSAN_OPTIONS=print_stacktrace=1:halt_on_error=1 TSAN_OPTIONS=halt_on_error=1:history_size=7 MSAN_OPTIONS=poison_in_dtor=1:track_origins=2
Oracle Selection
| Bug Class | Oracle | |-----------|--------| | Memory safety | ASan, HWASan (AArch64, lower overhead) | | Uninitialized reads | MSan | | Concurrency | TSan | | Undefined behavior | UBSan | | Type safety | TypeSan | | Heap hardening | Scudo Hardened Allocator | | Logic bugs | Differential / idempotency oracles | | Kernel memory | KASAN, KMSAN, KCSAN | | Kernel UB | KUBSan (CONFIG_UBSAN_TRAP=y) | | CFI | KCFI (-fsanitize=kcfi, Clang 18) | | Binary-only | QASAN (QEMU+ASan), DynamoRIO |
Property oracle patterns:
- Idempotency:
f(x) == f(f(x)) - Differential: compare two impls, bucket on output mismatch
- Invariants: monotonic lengths, checksum equality, schema validation post-parse
Specialized Targets
Kernel (Linux) — syzkaller
{
"target": "linux/arm64",
"http": ":56700",
"workdir": "/path/to/workdir",
"kernel_obj": "/path/to/kernel",
"image": "/path/to/rootfs.ext3",
"sshkey": "/path/to/id_rsa",
"procs": 8,
"enable_syscalls": ["openat$module_name", "ioctl$IOCTL_CMD", "mmap"],
"type": "qemu",
"vm": { "count": 4, "cpu": 2, "mem": 2048 }
}
- Limit
enable_syscallsto deepen coverage on specific subsystems - Use
syz-extractto pull constants for custom modules - Enable
CONFIG_KASAN=y,CONFIG_KCFI=y,CONFIG_DEBUG_INFO_BTF=y - Use
kcovfilters andsyz_cover_filterto direct coverage - Network fuzzing: inject via
TUN/TAP+ pseudo-syscalls (syz_emit_ethernet) - Crash decode:
./scripts/decode_stacktrace.sh vmlinux ... < dmesg.log
syzkaller repro:
syz-execprog -repeat=0 -procs=1 -cover=0 -debug target.repro
EDR / Windows Scanning Engines
WTF snapshot harness skeleton (mpengine.dll / mini-filter):
g_Backend->SetBreakpoint("nt!KeBugCheck2", [](Backend_t *Backend) {
const uint64_t BCode = Backend->GetArg(0);
Backend->Stop(Crash_t(fmt::format("crash-{:#x}", BCode)));
});
FilterConnectionPort fuzzing:
HANDLE hPort; FilterConnectCommunicationPort(L"\\PortName", 0, NULL, 0, NULL, &hPort); FilterSendMessage(hPort, fuzzData, sizeof(fuzzData), NULL, 0, &bytesReturned);
IOCTL fuzzing pattern:
HANDLE hDev = CreateFile(L"\\\\.\\DeviceName", GENERIC_READ|GENERIC_WRITE, ...); DeviceIoControl(hDev, ioctlCode, inputBuf, inputLen, outBuf, outLen, &ret, NULL);
- Take snapshots after initialization, right before parse/dispatch loop
- Use IDA Lighthouse for coverage visualization
- Monitor:
DRIVER_VERIFIER_DETECTED_VIOLATION (0xc4),IRQL_NOT_LESS_OR_EQUAL (0xa) - WinDbg:
.symfix; !analyze -v; k; !heap -p -a @rax
Cross-platform mpengine.dll on Linux (loadlibrary + HF_ITER + Intel PT):
// Bypass Lua VM to avoid stability issues
insert_function_redirect((void*)luaV_execute_address, my_lua_exec, HOOK_REPLACE_FUNCTION);
for (;;) {
HF_ITER(&buf, &len);
ScanDescriptor.UserPtr = fmemopen(buf, len, "r");
__rsignal(&KernelHandle, RSIG_SCAN_STREAMBUFFER, &ScanParams, sizeof ScanParams);
}
Rust
# Full Rust fuzzing pipeline cargo test # 1. property tests cargo +nightly miri test # 2. UB via interpreter cargo +nightly careful test # 3. runtime bounds checks cargo fuzz run fuzz_target_1 -- -max_total_time=3600 # 4. libFuzzer crashes RUSTFLAGS="--cfg loom" cargo test --release # 5. concurrency (if needed) cargo fuzz coverage fuzz_target_1 # 6. coverage report
Focus unsafe blocks on: Vec::from_raw_parts, unchecked indexing, transmute size mismatches, pointer arithmetic, FFI integer truncation.
Embedded / Binary-Only
- LibAFL: Modular Rust framework; Unicorn engine, snapshot module, LBRFeedback (zero-instrumentation on Intel), SAND decoupled sanitization
- Retrowrite / QASAN: Binary rewriting for coverage + ASan without source
- Nautilus: Grammar-based fuzzing for structured formats
Language Ecosystems
- Go 1.18+:
go test -fuzz=Fuzz -run=^$ ./... - Python: Atheris (CPython native extension fuzzing)
- Rust:
cargo-fuzzorhonggfuzz-rs - JS engines: Fuzzilli with extended instrumentation (
__builtin_return_address(0)for PC tracking) - Wasm runtimes:
wasmtime-fuzz,waflfor differential fuzzing across V8/Wasmer/Wasmtime - Smart contracts: Echidna, Foundry-fuzz (Solidity); Move-Fuzz (Aptos/Sui)
CI/CD Integration
- name: Build with afl-clang-fast
run: CC=afl-clang-fast make -j
- name: Fuzz (smoke, 15 min)
run: timeout 15m afl-fuzz -i seeds -o findings -- ./target @@ || true
- name: Upload crashes
if: always()
uses: actions/upload-artifact@v4
with:
path: findings/**/crashes/*
Use ClusterFuzzLite for persistent continuous fuzzing; cache corpora between runs.
Crash Analysis Quick Reference
Linux:
ulimit -c unlimited && sysctl -w kernel.core_pattern=core.%e.%p gdb -q ./target core.* -ex 'bt' -ex 'info reg' -ex q addr2line -e ./target 0xDEADBEEF
Windows:
# Enable local dumps New-Item 'HKLM:\SOFTWARE\Microsoft\Windows\Windows Error Reporting\LocalDumps' -Force # PageHeap gflags /p /enable target.exe /full
Kernel KASAN/KMSAN:
dmesg -T | egrep -i 'kasan|kmsan' -A 60 ./scripts/decode_stacktrace.sh vmlinux /lib/modules/$(uname -r)/build < dmesg.log
Reproducibility: pin CPU governor, disable ASLR only where safe, fix RNG seeds, save input sequences in persistent mode, record binary hashes and sanitizer options with every crash.
Tool Index
| Tool | Use Case | |------|----------| | AFL++ | General GreyBox, CmpLog, MOpt, Nyx | | Honggfuzz | Intel PT, crash detection, HF_ITER | | libFuzzer | In-process, source available | | syzkaller | Linux/Windows kernel syscall fuzzing | | wtf | Snapshot fuzzing, Windows targets | | Nyx | AFL++ snapshot mode (Intel PT) | | Snapchange | AWS snapshot fuzzing | | LibAFL | Custom Rust fuzzing framework | | AFLGo | Directed fuzzing to target BB/function | | kAFL | Kernel + OS fuzzing | | Jackalope | Binary coverage-guided (Windows/macOS) | | cargo-fuzz | Rust libFuzzer integration | | Atheris | Python fuzzing | | Nautilus | Grammar-based fuzzing | | AFLTriage | Automated crash triage | | afl-cov | Coverage analysis for AFL++ | | ClusterFuzz | Distributed fuzzing infrastructure |