Nixpkgs security tracker
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)
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.
References
-
VDB-376160 | onnx onnxruntime old.cc convPoolShapeInference_opset19 out-of-bounds technical-descriptionvdb-entry
-
-
CVE-2026-14647 | CVE Analysis and Report third-party-advisory
-
-
-
https://github.com/onnx/onnx/ product
Affected products
- ==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.onnx
Open Neural Network Exchange
pkgs.onnxruntime
Cross-platform, high performance scoring engine for ML models
pkgs.sherpa-onnx
Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime
pkgs.pkgsRocm.onnxruntime
Cross-platform, high performance scoring engine for ML models
pkgs.pkgsRocm.sherpa-onnx
Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime
pkgs.python313Packages.onnx
Open Neural Network Exchange
pkgs.python314Packages.onnx
Open Neural Network Exchange
pkgs.python313Packages.onnx-ir
Efficient in-memory representation for ONNX, in Python
pkgs.python313Packages.tf2onnx
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
pkgs.python314Packages.onnx-ir
Efficient in-memory representation for ONNX, in Python
pkgs.python313Packages.onnx-asr
Lightweight Automatic Speech Recognition using ONNX models
pkgs.python313Packages.onnxslim
Toolkit to Help Optimize Onnx Model
pkgs.python313Packages.skl2onnx
Convert scikit-learn models to ONNX
pkgs.python314Packages.onnx-asr
Lightweight Automatic Speech Recognition using ONNX models
pkgs.python314Packages.onnxslim
Toolkit to Help Optimize Onnx Model
pkgs.python314Packages.skl2onnx
Convert scikit-learn models to ONNX
pkgs.python313Packages.onnxscript
Naturally author ONNX functions and models using a subset of Python
pkgs.python314Packages.onnxscript
Naturally author ONNX functions and models using a subset of Python
pkgs.python313Packages.onnxmltools
ONNXMLTools enables conversion of models to ONNX
pkgs.python313Packages.onnxruntime
Cross-platform, high performance scoring engine for ML models
pkgs.python313Packages.sherpa-onnx
Python bindings for sherpa-onnx speech recognition
pkgs.python314Packages.onnxmltools
ONNXMLTools enables conversion of models to ONNX
pkgs.python314Packages.onnxruntime
Cross-platform, high performance scoring engine for ML models
pkgs.python314Packages.sherpa-onnx
Python bindings for sherpa-onnx speech recognition
pkgs.python313Packages.optimum-onnx
Export your model to ONNX and run inference with ONNX Runtime
pkgs.python314Packages.optimum-onnx
Export your model to ONNX and run inference with ONNX Runtime
pkgs.pkgsRocm.python3Packages.onnx-ir
Efficient in-memory representation for ONNX, in Python
pkgs.pkgsRocm.python3Packages.tf2onnx
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
pkgs.pkgsRocm.python3Packages.onnx-asr
Lightweight Automatic Speech Recognition using ONNX models
pkgs.pkgsRocm.python3Packages.onnxscript
Naturally author ONNX functions and models using a subset of Python
pkgs.python313Packages.onnxruntime-tools
Transformers Model Optimization Tool of ONNXRuntime
pkgs.python314Packages.onnxruntime-tools
Transformers Model Optimization Tool of ONNXRuntime
pkgs.pkgsRocm.python3Packages.onnxruntime
Cross-platform, high performance scoring engine for ML models
pkgs.pkgsRocm.python3Packages.sherpa-onnx
Python bindings for sherpa-onnx speech recognition
pkgs.pkgsRocm.python3Packages.optimum-onnx
Export your model to ONNX and run inference with ONNX Runtime
pkgs.python313Packages.onnxconverter-common
ONNX Converter and Optimization Tools
pkgs.python313Packages.rapidocr-onnxruntime
Cross platform OCR Library based on OnnxRuntime
pkgs.python314Packages.onnxconverter-common
ONNX Converter and Optimization Tools
pkgs.python314Packages.rapidocr-onnxruntime
Cross platform OCR Library based on OnnxRuntime
Package maintainers
-
@ConnorBaker Connor Baker <ConnorBaker01@gmail.com>
-
@acairncross Aiken Cairncross <acairncross@gmail.com>
-
@puffnfresh Brian McKenna <brian@brianmckenna.org>
-
@ck3d Christian Kögler <ck3d@gmx.de>
-
@jaredmontoya Jared Montoya
-
@GaetanLepage Gaetan Lepage <gaetan@glepage.com>
-
@wrvsrx wrvsrx <wrvsrx@outlook.com>
-
@happysalada Raphael Megzari <raphael@megzari.com>