# Duplicate check - ONNX SplitToSequence scalar split=0 SIGFPE Date: 2026-06-23 ## Candidate Title: `SplitToSequence scalar split=0 crashes ONNX shape inference via integer modulo by zero` Repo: `onnx/onnx` Targets: - `Huntr:model-onnx` - `Huntr:github-onnx-onnx` ## Huntr repo page Checked `https://huntr.com/repos/onnx/onnx` with the local Huntr dedup checker in Playwright mode. Result: - Total reports observed: 55 - Checker risk: `DUPE` - Reason for tool risk: broad class overlap with ONNX denial-of-service reports, especially the existing `Integer divide-by-zero in ONNX Conv/Pool shape inference...` report. Manual assessment: - No visible report title contains `SplitToSequence`. - No visible report title contains `split=0`, scalar `split`, or sequence split shape inference. - Closest class match is the existing Conv/Pool shape-inference divide-by-zero report. This is not an exact duplicate because this candidate uses `SplitToSequence`, a scalar `split` initializer, and root cause in `onnx/defs/sequence/utils.cc`. - Existing user-submitted ONNX reports in `hacnho-huntr/my-reports-submitted.md` are recursion/function-cycle findings and do not overlap this scalar modulo-by-zero path. Saved raw checker outputs: - `duplicate-check.json` - `duplicate-check-playwright.json` ## GitHub issue search Command: ```bash gh issue list -R onnx/onnx --state all --search 'SplitToSequence zero split SIGFPE "Floating point exception" "modulo by zero"' --limit 20 --json number,title,state,url,createdAt,updatedAt ``` Result: `[]` Command: ```bash gh issue list -R onnx/onnx --state all --search 'SplitToSequence zero split' --limit 20 --json number,title,state,url,createdAt,updatedAt ``` Relevant results: - `#6356` - `Why does SplitToSequence not allow zeros in split input?` - open - `https://github.com/onnx/onnx/issues/6356` - `#4742` - `Split-18 performs differently compared to np.array_split, torch.tensor_split for last element in uneven split` - open - `https://github.com/onnx/onnx/issues/4742` Assessment: - `#6356` is a spec/question issue about whether zero split values should be allowed. It does not report a crash, SIGFPE, security impact, or the scalar modulo-by-zero path. - `#4742` is about Split behavior parity, not `SplitToSequence` SIGFPE. Command: ```bash gh issue list -R onnx/onnx --state all --search 'SplitToSequence shape inference' --limit 20 --json number,title,state,url,createdAt,updatedAt ``` Relevant results: - `#6656` - `Shape inference error after SplitToSequence` - open - `https://github.com/onnx/onnx/issues/6656` - `#2693` - `Shape inference error in test_sequence_model8` - closed - `https://github.com/onnx/onnx/issues/2693` Assessment: - `#6656` is a wrong shape inference result involving `keepdim=0`, not a process crash or divide-by-zero. - `#2693` is an old sequence model shape inference error, not this crash path. Command: ```bash gh issue list -R onnx/onnx --state all --search 'SIGFPE OR "Floating point exception" OR divide-by-zero OR "divide by zero"' --limit 20 --json number,title,state,url,createdAt,updatedAt ``` Assessment: - Results did not include a `SplitToSequence` scalar split crash. ## Web search Queries checked: - `site:huntr.com/bounties onnx SplitToSequence zero split` - `site:huntr.com/bounties onnx SplitToSequence SIGFPE` - `site:huntr.com/bounties onnx "Floating point exception" "SplitToSequence"` - `site:huntr.com/bounties onnx "modulo by zero" "SplitToSequence"` Assessment: - No public exact duplicate was found for `SplitToSequence` scalar `split=0` SIGFPE. ## Verdict Not an exact duplicate based on public Huntr/GitHub checks. Duplicate risk is still medium-high because ONNX has a crowded Huntr page and one pending Conv/Pool divide-by-zero shape-inference report. Submit only with precise root-cause distinction: - Operator: `SplitToSequence` - Input: scalar `split` initializer with value `0` - Source: `onnx/defs/sequence/utils.cc` - Crash: native `SIGFPE` at `splitDimValue % splitSizes[0]`