[draco] Add fuzz target for 3D mesh/point cloud decoding - #16096
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[draco] Add fuzz target for 3D mesh/point cloud decoding#16096smoke-wolf wants to merge 1 commit into
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Add oss-fuzz project for google/draco, a 3D geometry compression library used in Chrome (glTF), Android SceneViewer, and AR/VR apps. The fuzz target exercises DecodeMeshFromBuffer and DecodePointCloudFromBuffer on arbitrary compressed geometry data, including attribute access on decoded results.
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smoke-wolf is a new contributor to projects/draco. The PR must be approved by known contributors before it can be merged. The past contributors are: DonggeLiu, FrankGalligan, rjotwani |
DavidKorczynski
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Sep 2, 2026
DavidKorczynski
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DavidKorczynski
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please coordinate with the upstream maintainers and place the fuzzing harness there. Will close this PR but if you land the harness in the upstream repository and maintainers are happy to add this harness for continuous fuzzing please open a new PR that builds the new harness (with the harness upstream still).
| - honggfuzz | ||
| - centipede | ||
| main_repo: 'https://github.com/google/draco' | ||
| file_github_issue: True |
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why delete all of this?
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and |
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why delete all of this?
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Add oss-fuzz project for
google/draco— a 3D geometry compression libraryused in Chrome (glTF), Android SceneViewer, and AR/VR applications.
Fuzz target
fuzz_decodeexercisesdraco::Decoder::DecodeMeshFromBuffer()andDecodePointCloudFromBuffer()on arbitrary compressed geometry data,including attribute access on decoded results. This covers the mesh
connectivity decoder, attribute decoders, entropy (rANS) decoder, and
prediction scheme paths.
Rationale
Draco processes untrusted
.drcfiles from the web (glTF models in Chrome)and has no existing oss-fuzz coverage. The decoder has complex binary parsing
with multiple codec paths that would benefit from continuous fuzzing.