f8b21af4be
10_Wiki/Topics 대규모 정리: - 오류 캡처/미완성 stub 문서 227개 제거 - 교차폴더 중복 43클러스터 병합 (63파일 → redirect) - 링크명 정규화: 깨진 링크 수정·redirect 직결·개념 매핑 ~2,400건 - 카테고리 MOC 6개 신규 생성 - Graph 섹션 미해결 related-keyword 링크 10,058건 제거 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
155 lines
5.0 KiB
Markdown
155 lines
5.0 KiB
Markdown
---
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id: wiki-2026-0508-fuzzing
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title: Fuzzing
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category: 10_Wiki/Topics
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status: verified
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canonical_id: self
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aliases: [Fuzz Testing, Coverage-Guided Fuzzing]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.9
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verification_status: applied
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tags: [security, testing, dast]
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raw_sources: []
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last_reinforced: 2026-05-10
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github_commit: pending
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tech_stack:
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language: C/Rust/Go
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framework: AFL++/libFuzzer/cargo-fuzz
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---
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# Fuzzing
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## 매 한 줄
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> **"매 random/mutated input 으로 crash, hang, UB 의 hunt"**. 매 1988 Miller (Wisconsin) 의 random input shell experiment 가 origin. 2026 현재 매 coverage-guided (AFL++, libFuzzer, Honggfuzz), structure-aware (libprotobuf-mutator), grammar-based (Nautilus), LLM-augmented (OSS-Fuzz Gen) 가 mainstream. Google OSS-Fuzz 가 100K+ bug 발견, Chrome/Linux kernel/OpenSSL 의 routine workflow.
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## 매 핵심
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### 매 fuzzing categories
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- **Black-box (dumb)**: random input, no instrumentation. 매 zzuf, radamsa.
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- **Coverage-guided (grey-box)**: input 의 mutation + branch coverage feedback. 매 AFL++, libFuzzer, Honggfuzz.
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- **White-box (concolic)**: symbolic execution + solver. 매 KLEE, SAGE.
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- **Structure-aware**: protobuf, JSON 의 grammar 의 valid input. 매 libprotobuf-mutator, FuzzGrammar.
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- **Differential**: 매 동일 input 을 두 implementation 에 → divergence 의 bug.
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### 매 sanitizers
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- ASan (heap/stack OOB, UAF), UBSan (UB), MSan (uninit read), TSan (data race), LSan (leak).
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- 매 fuzzing 의 corpus 는 sanitizer 와 함께 build 의 mandatory.
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### 매 응용
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1. Memory-safety bug discovery (C/C++ codebases).
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2. Parser hardening (image, video, network protocols).
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3. Browser engine (V8 fuzzilli, JSC fuzzer).
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4. Crypto library (OpenSSL, BoringSSL via OSS-Fuzz).
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## 💻 패턴
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### libFuzzer (C++)
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```cpp
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// fuzz_target.cc — clang -fsanitize=fuzzer,address fuzz_target.cc parser.cc
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#include <stdint.h>
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#include <stddef.h>
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#include "parser.h"
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extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
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if (size < 4) return 0;
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Parser p;
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p.Parse(reinterpret_cast<const char*>(data), size); // ASan catches OOB/UAF
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return 0;
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}
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```
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### cargo-fuzz (Rust)
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```rust
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// fuzz/fuzz_targets/parse.rs
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#![no_main]
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use libfuzzer_sys::fuzz_target;
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fuzz_target!(|data: &[u8]| {
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if let Ok(s) = std::str::from_utf8(data) {
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let _ = mycrate::parse(s); // panics 는 fuzz crash 로 catch
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}
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});
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```
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```bash
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cargo fuzz run parse -- -max_total_time=600
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```
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### Go native fuzzing (1.18+)
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```go
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func FuzzParseURL(f *testing.F) {
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f.Add("http://example.com")
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f.Fuzz(func(t *testing.T, s string) {
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u, err := url.Parse(s)
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if err == nil && u.String() != s && url.QueryEscape(u.String()) == "" {
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t.Errorf("roundtrip mismatch: %q", s)
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}
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})
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}
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```
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```bash
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go test -fuzz=FuzzParseURL -fuzztime=10m
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```
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### AFL++ (compile-time instrumentation)
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```bash
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CC=afl-clang-fast CXX=afl-clang-fast++ ./configure
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make -j8
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mkdir in; echo "seed" > in/0
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afl-fuzz -i in -o out -- ./target @@
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```
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### Structure-aware (libprotobuf-mutator)
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```cpp
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DEFINE_PROTO_FUZZER(const my::Message& msg) {
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HandleMessage(msg); // valid proto guaranteed → deeper coverage
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}
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```
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### OSS-Fuzz integration
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```dockerfile
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FROM gcr.io/oss-fuzz-base/base-builder
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RUN apt-get install -y libssl-dev
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COPY . $SRC/myproject
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COPY build.sh $SRC/
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WORKDIR $SRC/myproject
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```
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## 매 결정 기준
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| 상황 | Approach |
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|---|---|
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| C/C++ memory bug hunt | libFuzzer + ASan/UBSan |
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| Rust panic / logic bug | cargo-fuzz |
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| Network protocol parser | AFL++ + structure-aware mutator |
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| Two implementations comparison | Differential fuzzing |
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| Continuous (open-source) | OSS-Fuzz |
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| Grammar-rich (JS, SQL) | Grammar-based (Nautilus, fuzzilli) |
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**기본값**: 매 coverage-guided (libFuzzer/AFL++) + ASan + corpus minimization + CI 에 5min smoke.
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## 🔗 Graph
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- 부모: [[DAST (동적 애플리케이션 보안 테스트)]]
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- 변형: [[SCA (소프트웨어 구성 분석)]]
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- 응용: [[OSS-Fuzz]] · [[V8 엔진 힙 아키텍처]]
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- Adjacent: [[Property-Based Testing]]
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## 🤖 LLM 활용
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**언제**: 매 untrusted input 의 parser, codec, deserializer 가 있는 경우. 매 security-critical library 의 release 전 mandatory.
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**언제 X**: pure functional code 의 deterministic 한 input space (property-based testing 이 더 적절). 매 GUI / network state-heavy code.
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## ❌ 안티패턴
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- **Sanitizer 없이 fuzz**: 매 silent corruption 을 miss. 매 ASan 의 mandatory.
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- **Seed corpus 없음**: 매 coverage 의 plateau 가 빠름. 매 valid sample 10-100 개 의 seed.
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- **CI 에 30s 만 fuzz**: 매 너무 짧음. 매 minimum 10min, ideal continuous (OSS-Fuzz pattern).
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- **Crash 만 의 focus**: 매 hang, OOM, slow input 도 bug. 매 timeout / rss_limit 설정.
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## 🧪 검증 / 중복
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- Verified (Miller 1990 "Empirical Study of Reliability of UNIX Utilities"; AFL++ docs; OSS-Fuzz reports).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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|---|---|
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — coverage-guided + sanitizers + OSS-Fuzz |
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