ossfuzz
OSS-Fuzz provides free continuous fuzzing for open source projects. Use when setting up continuous fuzzing infrastructure or enrolling projects.
What this skill does
# OSS-Fuzz [OSS-Fuzz](https://google.github.io/oss-fuzz/) is an open-source project developed by Google that provides free distributed infrastructure for continuous fuzz testing. It streamlines the fuzzing process and facilitates simpler modifications. While only select projects are accepted into OSS-Fuzz, the project's core is open-source, allowing anyone to host their own instance for private projects. ## Overview OSS-Fuzz provides a simple CLI framework for building and starting harnesses or calculating their coverage. Additionally, OSS-Fuzz can be used as a service that hosts static web pages generated from fuzzing outputs such as coverage information. ### Key Concepts | Concept | Description | |---------|-------------| | **helper.py** | CLI script for building images, building fuzzers, and running harnesses locally | | **Base Images** | Hierarchical Docker images providing build dependencies and compilers | | **project.yaml** | Configuration file defining project metadata for OSS-Fuzz enrollment | | **Dockerfile** | Project-specific image with build dependencies | | **build.sh** | Script that builds fuzzing harnesses for your project | | **Criticality Score** | Metric used by OSS-Fuzz team to evaluate project acceptance | ## When to Apply **Apply this technique when:** - Setting up continuous fuzzing for an open-source project - Need distributed fuzzing infrastructure without managing servers - Want coverage reports and bug tracking integrated with fuzzing - Testing existing OSS-Fuzz harnesses locally - Reproducing crashes from OSS-Fuzz bug reports **Skip this technique when:** - Project is closed-source (unless hosting your own OSS-Fuzz instance) - Project doesn't meet OSS-Fuzz's criticality score threshold - Need proprietary or specialized fuzzing infrastructure - Fuzzing simple scripts that don't warrant infrastructure ## Quick Reference | Task | Command | |------|---------| | Clone OSS-Fuzz | `git clone https://github.com/google/oss-fuzz` | | Build project image | `python3 infra/helper.py build_image --pull <project>` | | Build fuzzers with ASan | `python3 infra/helper.py build_fuzzers --sanitizer=address <project>` | | Run specific harness | `python3 infra/helper.py run_fuzzer <project> <harness>` | | Generate coverage report | `python3 infra/helper.py coverage <project>` | | Check helper.py options | `python3 infra/helper.py --help` | ## OSS-Fuzz Project Components OSS-Fuzz provides several publicly available tools and web interfaces: ### Bug Tracker The [bug tracker](https://issues.oss-fuzz.com/issues?q=status:open) allows you to: - Check bugs from specific projects (initially visible only to maintainers, later [made public](https://google.github.io/oss-fuzz/getting-started/bug-disclosure-guidelines/)) - Create new issues and comment on existing ones - Search for similar bugs across **all projects** to understand issues ### Build Status System The [build status system](https://oss-fuzz-build-logs.storage.googleapis.com/index.html) helps track: - Build statuses of all included projects - Date of last successful build - Build failures and their duration ### Fuzz Introspector [Fuzz Introspector](https://oss-fuzz-introspector.storage.googleapis.com/index.html) displays: - Coverage data for projects enrolled in OSS-Fuzz - Hit frequency for covered code - Performance analysis and blocker identification Read [this case study](https://github.com/ossf/fuzz-introspector/blob/main/doc/CaseStudies.md) for examples and explanations. ## Step-by-Step: Running a Single Harness You don't need to host the whole OSS-Fuzz platform to use it. The helper script makes it easy to run individual harnesses locally. ### Step 1: Clone OSS-Fuzz ```bash git clone https://github.com/google/oss-fuzz cd oss-fuzz python3 infra/helper.py --help ``` ### Step 2: Build Project Image ```bash python3 infra/helper.py build_image --pull <project-name> ``` This downloads and builds the base Docker image for the project. ### Step 3: Build Fuzzers with Sanitizers ```bash python3 infra/helper.py build_fuzzers --sanitizer=address <project-name> ``` **Sanitizer options:** - `--sanitizer=address` for [AddressSanitizer](https://appsec.guide/docs/fuzzing/techniques/asan/) with [LeakSanitizer](https://github.com/google/sanitizers/wiki/AddressSanitizerLeakSanitizer) - Other sanitizers available (language support varies) **Note:** Fuzzers are built to `/build/out/<project-name>/` containing the harness executables, dictionaries, corpus, and crash files. ### Step 4: Run the Fuzzer ```bash python3 infra/helper.py run_fuzzer <project-name> <harness-name> [<fuzzer-args>] ``` The helper script automatically runs any missed steps if you skip them. ### Step 5: Coverage Analysis (Optional) First, [install gsutil](https://cloud.google.com/storage/docs/gsutil_install) (skip gcloud initialization). ```bash python3 infra/helper.py build_fuzzers --sanitizer=coverage <project-name> python3 infra/helper.py coverage <project-name> ``` Use `--no-corpus-download` to use only local corpus. The command generates and hosts a coverage report locally. See [official OSS-Fuzz documentation](https://google.github.io/oss-fuzz/advanced-topics/code-coverage/) for details. ## Common Patterns ### Pattern: Running irssi Example **Use Case:** Testing OSS-Fuzz setup with a simple enrolled project ```bash # Clone and navigate to OSS-Fuzz git clone https://github.com/google/oss-fuzz cd oss-fuzz # Build and run irssi fuzzer python3 infra/helper.py build_image --pull irssi python3 infra/helper.py build_fuzzers --sanitizer=address irssi python3 infra/helper.py run_fuzzer irssi irssi-fuzz ``` **Expected Output:** ``` INFO:__main__:Running: docker run --rm --privileged --shm-size=2g --platform linux/amd64 -i -e FUZZING_ENGINE=libfuzzer -e SANITIZER=address -e RUN_FUZZER_MODE=interactive -e HELPER=True -v /private/tmp/oss-fuzz/build/out/irssi:/out -t gcr.io/oss-fuzz-base/base-runner run_fuzzer irssi-fuzz. Using seed corpus: irssi-fuzz_seed_corpus.zip /out/irssi-fuzz -rss_limit_mb=2560 -timeout=25 /tmp/irssi-fuzz_corpus -max_len=2048 < /dev/null INFO: Running with entropic power schedule (0xFF, 100). INFO: Seed: 1531341664 INFO: Loaded 1 modules (95687 inline 8-bit counters): 95687 [0x1096c80, 0x10ae247), INFO: Loaded 1 PC tables (95687 PCs): 95687 [0x10ae248,0x1223eb8), INFO: 719 files found in /tmp/irssi-fuzz_corpus INFO: seed corpus: files: 719 min: 1b max: 170106b total: 367969b rss: 48Mb #720 INITED cov: 409 ft: 1738 corp: 640/163Kb exec/s: 0 rss: 62Mb #762 REDUCE cov: 409 ft: 1738 corp: 640/163Kb lim: 2048 exec/s: 0 rss: 63Mb L: 236/2048 MS: 2 ShuffleBytes-EraseBytes- ``` ### Pattern: Enrolling a New Project **Use Case:** Adding your project to OSS-Fuzz (or private instance) Create three files in `projects/<your-project>/`: **1. project.yaml** - Project metadata: ```yaml homepage: "https://github.com/yourorg/yourproject" language: c++ primary_contact: "[email protected]" main_repo: "https://github.com/yourorg/yourproject" fuzzing_engines: - libfuzzer sanitizers: - address - undefined ``` **2. Dockerfile** - Build dependencies: ```dockerfile FROM gcr.io/oss-fuzz-base/base-builder RUN apt-get update && apt-get install -y \ autoconf \ automake \ libtool \ pkg-config RUN git clone --depth 1 https://github.com/yourorg/yourproject WORKDIR yourproject COPY build.sh $SRC/ ``` **3. build.sh** - Build harnesses: ```bash #!/bin/bash -eu ./autogen.sh ./configure --disable-shared make -j$(nproc) # Build harnesses $CXX $CXXFLAGS -std=c++11 -I. \ $SRC/yourproject/fuzz/harness.cc -o $OUT/harness \ $LIB_FUZZING_ENGINE ./libyourproject.a # Copy corpus and dictionary if available cp $SRC/yourproject/fuzz/corpus.zip $OUT/harness_seed_corpus.zip cp $SRC/yourproject/fuzz/dictionary.dict $OUT/harness.dict ``` ## Docker Images in OSS-Fuzz Harnesses are built and executed in Docker containers. All projects share a runner image, but each proj
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