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With package: python313Packages.tf2onnx

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Untriaged
Permalink CVE-2026-44512
5.5 MEDIUM
  • CVSS version (CVSS): 3.1
  • Attack Vector (AV): Local (L)
  • Attack Complexity (AC): Low (L)
  • Privileges Required (PR): None (N)
  • User Interaction (UI): Required (R)
  • Scope (S): Unchanged (U)
  • Confidentiality (C): None (N)
  • Integrity (I): None (N)
  • Availability (A): High (H)
  • Modified Attack Vector (MAV): Local (L)
  • Modified Attack Complexity (MAC): Low (L)
  • Modified Privileges Required (MPR): None (N)
  • Modified User Interaction (MUI): Required (R)
  • Modified Confidentiality (MC): None (N)
  • Modified Scope (MS): Unchanged (U)
  • Modified Integrity (MI): None (N)
  • Modified Availability (MA): High (H)
created 1 week ago Activity log
  • Created suggestion
ONNX: Null Pointer Dereference in Upsample Version Converter Adapter (Zero Inputs)

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.9.0 before 1.22.0, onnx.version_converter.convert_version() can dereference a null pointer in Upsample_6_7::adapt_upsample_6_7() in onnx/version_converter/adapters/upsample_6_7.h when processing an untrusted model with an Upsample node that has zero inputs, causing an unrecoverable denial of service. This issue is fixed in version 1.22.0.

Affected products

onnx
  • ==>= 1.9.0, < 1.22.0

Matching in nixpkgs

pkgs.sherpa-onnx

Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime

Package maintainers

Untriaged
Permalink CVE-2026-14647
2.1 LOW
  • CVSS version (CVSS): 4.0
  • Attack Vector (AV): Network (N)
  • Attack Complexity (AC): Low (L)
  • Attack Requirement (AT): None (N)
  • Privileges Required (PR): Low (L)
  • User Interaction (UI): None (N)
  • Vulnerable System Impact Confidentiality (VC): Low (L)
  • Vulnerable System Impact Integrity (VI): None (N)
  • Vulnerable System Impact Availability (VA): None (N)
  • Subsequent System Impact Confidentiality (SC): None (N)
  • Subsequent System Impact Integrity (SI): None (N)
  • Subsequent System Impact Availability (SA): None (N)
  • Exploit Maturity (E): POC (P)
  • Modified Attack Vector (MAV): Network (N)
  • Modified Attack Complexity (MAC): Low (L)
  • Modified Attack Requirement (MAT): None (N)
  • Modified Privileges Required (MPR): Low (L)
  • Modified User Interaction (MUI): None (N)
  • Modified Vulnerable System Impact Confidentiality (MVC): Low (L)
  • Modified Vulnerable System Impact Integrity (MVI): None (N)
  • Modified Vulnerable System Impact Availability (MVA): None (N)
  • Modified Subsequent System Impact Confidentiality (MSC): Negligible (N)
  • Modified Subsequent System Impact Integrity (MSI): Negligible (N)
  • Modified Subsequent System Impact Availability (MSA): Negligible (N)
  • Safety (S): Not Defined (X)
  • Automatable (AU): Not Defined (X)
  • Recovery (R): Not Defined (X)
  • Value Density (V): Not Defined (X)
  • Vulnerability Response Effort (RE): Not Defined (X)
  • Provider Urgency (U): Not Defined (X)
  • Confidentiality Req. (CR): Not Defined (X)
  • Integrity Req. (IR): Not Defined (X)
  • Availability Req. (AR): Not Defined (X)
created 1 week, 4 days ago Activity log
  • Created suggestion
onnx onnxruntime old.cc convPoolShapeInference_opset19 out-of-bounds

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.

Affected products

onnx
  • ==1.8
  • ==1.0
  • ==1.5
  • ==1.11
  • ==1.14
  • ==1.2
  • ==1.7
  • ==1.13
  • ==1.9
  • ==1.18
  • ==1.4
  • ==1.16
  • ==1.1
  • ==1.17
  • ==1.6
  • ==1.10
  • ==1.19
  • ==1.12
  • ==1.20
  • ==1.21
  • ==1.3
  • ==1.15

Matching in nixpkgs

pkgs.sherpa-onnx

Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime

Package maintainers