CVE-2026-44512

### Summary Null pointer dereference (SIGSEGV) in `Upsample_6_7::adapt_upsample_6_7()` (`onnx/version_converter/adapters/upsample_6_7.h:31`) when `convert_version()` processes a model with an Upsample node that has zero inputs. The adapter accesses `node->inputs()[0]->sizes()` without checking input count. 107-byte PoC crashes on Release build. This is the same class of bug as the Cast adapter advisory (separate report) but in a different adapter, different file, and different operator. ### Details The Upsample 6→7 adapter validates attributes but not inputs: ```cpp // upsample_6_7.h:20-33 void adapt_upsample_6_7(..., Node* node) const { ONNX_ASSERTM( node->hasAttribute(width_scale_symbol) && node->hasAttribute(height_scale_symbol), "...") // Attribute check PASSES auto width_scale = node->f(width_scale_symbol); auto height_scale = node->f(height_scale_symbol); auto input_shape = node->inputs()[0]->sizes(); // ^^^^^^^^^^^^^^^^^^^^ // OOB when inputs().size() == 0 → SIGSEGV } ``` The PoC has an Upsample node at opset 6 with the required `width_scale` and `height_scale` attributes but zero inputs. The attribute assertions pass, then `node->inputs()[0]` on an empty `ArrayRef`: - Release builds (`NDEBUG`): bounds-check assertion compiled out → reads garbage pointer → SIGSEGV - Debug builds: `assert(Index < Length)` at `array_ref.h:159` → SIGABRT An Upsample node with zero inputs passes `graphProtoToGraph()` because the import code only resolves input names present in the protobuf. ### PoC ```python import base64 import onnx from onnx import version_converter poc_b64 = "CAI6YQo8EgFZIghVcHNhbXBsZSoVCgt3aWR0aF9zY2FsZRUAAABAoAEBKhYKDGhlaWdodF9zY2FsZRUAAABAoAEBEgR0ZXN0YhsKAVkSFgoUCAESEAoCCAEKAggBCgIIBAoCCARCBAoAEAY=" model = onnx.load_from_string(base64.b64decode(poc_b64)) # CRASHES — Upsample_6_7 adapter dereferences empty inputs array version_converter.convert_version(model, 7) # SIGSEGV ``` 107-byte PoC. Confirmed SIGSEGV on both onnx 1.21.0 (pip) and 1.22.0 (source build). ### Impact Any application that uses `onnx.version_converter.convert_version()` on untrusted models is vulnerable. This includes model conversion pipelines and tools that auto-upgrade opset versions for compatibility. The crash is unrecoverable (SIGSEGV). This vulnerability is part of a systemic pattern across multiple version converter adapters. A full audit of all ~45 adapters was performed as part of the fix; eight adapters were found with the same class of unguarded indexed access (cast_9_8, softmax_12_13, softmax_13_12, upsample_6_7, upsample_9_10, group_normalization_20_21, broadcast_forward_compatibility, upsample_9_8) and all have been fixed in PR #7813.

No confirmed active exploitation of CVE-2026-44512 has been reported, but organizations should still patch proactively.

Update to patched version: ONNX 1.22.0.

CVE-2026-44512 has a CVSS v3.1 base score of 5.5 (MEDIUM).