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cpe:2.3:a:onnx:onnx:*:*:*:*:*:*:*:*
part: a version: * update: *
| Vendor | Onnx (572b048b-1add-5b4c-b1e8-bae6177bcd80) |
|---|---|
| Product | Onnx (7cfe39af-d81a-5567-84aa-5dd4fcdae391) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | * |
| Target hardware | * |
| Other | * |
| Notes | Imported from purl2cpe mapping |
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
pkg:deb/debian/onnx |
purl2cpe | 2026-06-01 10:18:10.277676 |
pkg:deb/ubuntu/onnx |
purl2cpe | 2026-06-01 10:18:10.277677 |
pkg:github/onnx/onnx |
purl2cpe | 2026-06-01 10:18:10.277679 |
pkg:pypi/onnx |
purl2cpe | 2026-06-01 10:18:10.277680 |
pkg:rpm/fedora/onnx |
purl2cpe | 2026-06-01 10:18:10.277682 |
pkg:rpm/opensuse/python-onnx |
purl2cpe | 2026-06-01 10:18:10.277683 |
pkg:sourceforge/onnx.mirror |
purl2cpe | 2026-06-01 10:18:10.277684 |
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2026-44512 |
vulnerable | 2026-07-29 00:52:14.419173 |
ONNX: Null Pointer Dereference in Upsample Version Converter Adapter (Zero Inputs)
MEDIUM (5.5)
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.
Published: 2026-07-08T19:32:04.886Z
Updated: 2026-07-09T13:36:58.289Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2026-14647 |
vulnerable | 2026-07-29 00:26:17.423610 |
onnx onnxruntime old.cc convPoolShapeInference_opset19 out-of-bounds
MEDIUM (4.3)
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.
Published: 2026-07-04T19:00:11.367Z
Updated: 2026-07-06T18:44:46.173Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2026-34447 |
vulnerable | 2026-06-08 07:59:12.512316 |
ONNX: External Data Symlink Traversal
MEDIUM (5.5)
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0.
Published: 2026-04-01T17:39:38.129Z
Updated: 2026-04-01T19:14:38.114Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2026-34446 |
vulnerable | 2026-06-08 07:59:12.512021 |
ONNX: Arbitrary File Read via ExternalData Hardlink Bypass in ONNX load
MEDIUM (4.7)
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is an issue in onnx.load, the code checks for symlinks to prevent path traversal, but completely misses hardlinks because a hardlink looks exactly like a regular file on the filesystem. This issue has been patched in version 1.21.0.
Published: 2026-04-01T17:37:54.737Z
Updated: 2026-04-02T14:10:36.637Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2026-34445 |
vulnerable | 2026-06-08 07:59:12.510938 |
ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.
HIGH (8.6)
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the "keys" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.
Published: 2026-04-01T17:30:19.994Z
Updated: 2026-04-01T18:00:14.120Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2026-28500 |
vulnerable | 2026-06-08 07:55:15.372784 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2026-27489 |
vulnerable | 2026-06-08 07:53:22.376141 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2024-7776 |
vulnerable | 2026-06-08 06:58:23.410697 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2024-27319 |
vulnerable | 2026-06-08 06:31:28.529101 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2024-27318 |
vulnerable | 2026-06-08 06:31:28.528589 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
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