CVE-2026-115919

LOWCVSS 6.2 · MEDIUM

Signal is active with 1 mentions in latest observed window

Immediate actions

  • Track advisory updates for patch or workaround availability

Recommended action window: Monitor and triage in normal cycle

NVD description

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.

0.0/ 10 priority

Sources & remediation

Weakness type (CWE)
CWE-125

Priority

LOW

Exploitation

NONE

PoC

NONE

Patch

NONE

Momentum

NONE

Threat summary

  • 1 mentions across 1 observed day

What's happening

  • 1 total mentions across 1 day

Deep dive

Activity timeline1 mentions / 1d
00111Mentions · 2026-10-29: 110-29
Referenced assets1 URL
Full discourse1 post
  • DailyCVE@dailycve

    🟠 ONNX, Out-of-Bounds Read, #CVE-2026-115919 (Medium) -DC-Oct2026-3928 https://dailycve.com/onnx-out-of-bounds-read-cve-2026-115919-medium-dc-oct2026-3928/

    0000030
    247 followersView on X

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