CVE-2026-63632Low· 3.3▾ SunlitOpen Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.3.0 until 1.22.0, onnx.version_converter.convert_version() can perform an out-of-bounds read in Gemm_7_6::adapt_gemm_7_6() in onnx/vers…
▾ Sunlit zone — Low / medium · no exploitation signal
impact 18.2 · likelihood 0 · exploitation 0
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Exploit-prediction probability, daily snapshots since Aug 19.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via NVD
0.2%
Last analysed / modified upstream
0.2% → 0.2%
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.3.0 until 1.22.0, onnx.version_converter.convert_version() can perform an out-of-bounds read in Gemm_7_6::adapt_gemm_7_6() in onnx/version_converter/adapters/gemm_7_6.h when a Gemm node has input tensors with fewer than two dimensions because B_shape[1], A_shape[0], or A_shape[1] is accessed without a rank check, potentially causing a process crash during an opset 7 to 6 downgrade. This issue is fixed in version 1.22.0.
Refer to the linked advisories for vendor-supplied fixes and affected version ranges.
Affected packages:
onnx >= 1.3.0, <= 1.21.0Patched in:
onnx 1.22.0Connected by shared product, vendor, weakness, or advisory.
CVE-2026-115919Medium· 6.2ONNX: Out-of-Bounds Read in RNN/GRU/LSTM Shape Inference (Old Opsets, Missing Rank Check)
CVE-2026-115920Medium· 6.2ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank
CVE-2026-115921Medium· 6.2ONNX: Null Pointer Dereference in ScanInferenceFunction Due to Missing Required Attribute
CVE-2026-115922Medium· 6.2ONNX: Denial of service via unchecked expansion of packed sub-byte tensors in ONNX Python APIs
CVE-2026-44512Medium· 5.5ONNX has Null Pointer Dereference in Upsample Version Converter Adapter (Zero Inputs)
CVE-2024-27318High· 7.5Onnx Directory Traversal vulnerability