CVE-2026-115919: medium-severity vulnerability in onnx
ONNX: Out-of-Bounds Read in RNN/GRU/LSTM Shape Inference (Old Opsets, Missing Rank Check)
Published
E-mail alert when it lands in KEV, gets a public PoC or its score goes up.
13Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 6.2epss 0.2%
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 through 6 and GRU nodes from opsets 3 through 6 without verifying that the first input has rank three. The function accesses dim(0) and dim(1) on an undersized protobuf shape, which can read outside the intended repeated field and terminate an application when onnx.shape_inference.infer_shapes() processes an untrusted model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0.
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Affected products
onnx · onnxRelated CVEs — onnx
In the same product, most dangerous first.
CVE-2024-27318HIGHCVE-2024-27318EPSS 1.2%CVE-2026-27489HIGHONNX: Path Traversal via SymlinkEPSS 0.6%CVE-2024-27319MEDIUMCVE-2024-27319EPSS 0.6%CVE-2026-28500HIGHONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() — Silent Supply-Chain AttackEPSS 0.3%CVE-2026-34445HIGHONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.EPSS 0.3%CVE-2026-34447MEDIUMONNX: External Data Symlink TraversalEPSS 0.3%