EUVD-2026-41691Severity by source
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Network-reachable shape inference requiring low-privilege model submission; only partial memory read, no integrity or availability impact.
Primary rating from Vendor (VulDB).
CVSS VectorVendor: VulDB
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Lifecycle Timeline
3DescriptionCVE.org
A weakness has been identified in onnx up to 1.21.x. This vulnerability affects the function convPoolShapeInference_opset19 of the file onnx/defs/nn/old.cc of the component onnxruntime. This manipulation causes out-of-bounds read. It is possible to initiate the attack remotely. The exploit has been made available to the public and could be used for attacks. Patch name: a7bf3a0f1d18bb62575236ef6e4944980c40e045. It is recommended to apply a patch to fix this issue.
AnalysisAI
Out-of-bounds read in ONNX versions up to 1.21.x exposes limited memory contents to low-privileged remote attackers via the convPoolShapeInference_opset19 shape inference function. The CVSS 4.0 score of 2.1 reflects minimal real-world impact - confidentiality-only, low severity - yet a public proof-of-concept is available via GitHub issue #8036. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires that the attacker hold low-privileged access to a system or service that processes ONNX models - as confirmed by the CVSS PR:L metric. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N) assigns a score of 2.1, placing this firmly in the Low severity tier. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An attacker with low-privileged access to a model-serving endpoint or ML pipeline submits a crafted ONNX model containing a malformed convolution or pooling operator definition targeting the opset19 shape inference path. The convPoolShapeInference_opset19 function reads beyond the allocated buffer boundary, potentially leaking a small amount of adjacent process memory. … |
| Remediation | The upstream fix is available via GitHub commit a7bf3a0f1d18bb62575236ef6e4944980c40e045, merged through pull request https://github.com/onnx/onnx/pull/8051. … Detailed patch versions, workarounds, and compensating controls in full report. |
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A vulnerability in the `download_model_with_test_data` function of the onnx/onnx framework, version 1.16.0, allows for a
Versions of the package onnx before and including 1.15.0 are vulnerable to Out-of-bounds Read as the ONNX_ASSERT and ONN
Versions of the package onnx before and including 1.15.0 are vulnerable to Directory Traversal as the external_data fiel
A vulnerability in the `download_model` function of the onnx/onnx framework, before and including version 1.16.1, allows
Same weakness CWE-125 – Out-of-bounds Read
View allSame technique Buffer Overflow
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External POC / Exploit Code
Leaving vuln.today