CVE-2026-115919
Mở trang đầy đủCVSS 6.2 MEDIUM
ONNX: Out-of-Bounds Read in RNN/GRU/LSTM Shape Inference (Old Opsets, Missing Rank Check)
Mô tả
Summary
ONNX shape inference performed an out-of-bounds read when processing a malformed RNN, GRU, or LSTM node from opsets 1–6 whose first input had a rank other than three.
RNNShapeInference_opset1_to_6() checked whether the input shape was present but accessed dim(0) and dim(1) without first checking its rank. A crafted model could therefore terminate a process that called onnx.shape_inference.infer_shapes(). The model passed onnx.checker.check_model() before reaching the vulnerable path.
Technical details
The vulnerable code read dimensions unconditionally:
if (hasInputShape(ctx, 0)) {
const auto& first_input_shape = getInputShape(ctx, 0);
seq_length = first_input_shape.dim(0);
batch_size = first_input_shape.dim(1);
}
For an undersized shape, protobuf's repeated-field access read outside the intended array in release builds. The observed result was SIGSEGV; sanitizer and debug builds terminated on a protobuf bounds check.
The newer opset 7–13 and opset 14+ inference paths already required the first input to have rank three and were not affected.
Impact
An application that performs shape inference on an untrusted model can be terminated, causing denial of service. Exploitation does not require privileges or human interaction once the model is processed. No confidentiality or integrity impact was demonstrated.
Affected versions
- Affected: ONNX through 1.21.0
- Patched: ONNX 1.22.0
The vulnerable schemas are limited to RNN and LSTM opsets 1–6 and GRU opsets 3–6.
Remediation
Upgrade to ONNX 1.22.0 or later. The fix validates that the first input has rank three before accessing its dimensions.
- Fix: onnx/onnx#7879
- Commit:
92e541266
The original malformed model was also re-tested against the published ONNX 1.23.2 wheel and correctly raises InferenceError.
Severity
The vulnerable ONNX component processes the malicious model through a local library API or file boundary and is not itself bound to a network stack. Applications that expose ONNX model processing over a network should calculate an Environmental score with Modified Attack Vector set to Network.
Điểm và phân loại
- CVSS
- 6.2 MEDIUM v3.1
- Nguồn điểm
- NVD
- Mức độ (theo nguồn)
- MEDIUM
- EPSS
- 0.18%
- CWE
- CWE-125
Vector CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Ảnh hưởng
| Package | Bản bị ảnh hưởng | Bản đã sửa |
|---|---|---|
pip onnx |
<= 1.21.0 |
1.22.0
|
pip onnx |
< 1.22.0 |
1.22.0
|
Sản phẩm
- onnx onnx
Vì sao bị lọc
- CVSS 6.2 < 8.0 và không thuộc CISA KEV
Loại tác động
Không nhận ra loại tác động nào từ CWE, vector hay mô tả.
Dữ liệu riêng của nguồn
- CVE.org · Đơn vị cấp mã
- GitHub_M
- CVE.org · SSVC
- Tự động hoá được: no · Khai thác: none · Tác động kỹ thuật: partial
- OSV.dev · ID
- GHSA-48m4-24cq-37qf
Tham khảo
- https://github.com/advisories/GHSA-48m4-24cq-37qf
- https://github.com/onnx/onnx/security/advisories/GHSA-48m4-24cq-37qf
- https://nvd.nist.gov/vuln/detail/CVE-2026-115919
- https://github.com/onnx/onnx/pull/7879
- https://github.com/onnx/onnx/commit/92e541266af5dd38cfa48aeb92206f4268a066cd
- https://github.com/onnx/onnx/releases/tag/v1.22.0
- https://osv.dev/vulnerability/GHSA-48m4-24cq-37qf
- https://github.com/onnx/onnx