Vulnerability-Lookup

CVE-2026-44512 (GCVE-0-2026-44512)

Vulnerability from cvelistv5 – Published: 2026-07-08 19:32 – Updated: 2026-07-09 13:36

Title

ONNX: Null Pointer Dereference in Upsample Version Converter Adapter (Zero Inputs)

Summary

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.

Severity

5.5 (Medium)


                        
                          CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-09 13:36 UTC

CWE

CWE-476 - NULL Pointer Dereference

Assigner

GitHub_M mitre root

References

4 references

URL	Tags
https://github.com/onnx/onnx/security/advisories/…	x_refsource_CONFIRM
https://github.com/onnx/onnx/pull/7813	x_refsource_MISC
https://github.com/onnx/onnx/commit/cd310408165ad…	x_refsource_MISC
https://github.com/onnx/onnx/releases/tag/v1.22.0	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version	CPE status
onnx	onnx	Affected: >= 1.9.0, < 1.22.0	guessed

Show details on NVD website

JSON

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FKIE_CVE-2026-44512

Vulnerability from fkie_nvd - Published: 2026-07-08 20:16 - Updated: 2026-07-13 17:02

Severity

5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

Summary

References

URL	Tags
security-advisories@github.com	https://github.com/onnx/onnx/commit/cd310408165ad47c3cd7eb2b86cb5b80aa2e4fdf	Patch
security-advisories@github.com	https://github.com/onnx/onnx/pull/7813	Issue Tracking, Patch
security-advisories@github.com	https://github.com/onnx/onnx/releases/tag/v1.22.0	Product, Release Notes
security-advisories@github.com	https://github.com/onnx/onnx/security/advisories/GHSA-hwpq-hmq9-wj77	Exploit, Vendor Advisory
134c704f-9b21-4f2e-91b3-4a467353bcc0	https://github.com/onnx/onnx/security/advisories/GHSA-hwpq-hmq9-wj77	Exploit, Vendor Advisory

Impacted products

	Vendor	Product	Version
	linuxfoundation	onnx	*

JSON

To clipboard

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  "affected": [
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        {
          "product": "onnx",
          "vendor": "onnx",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 1.9.0, \u003c 1.22.0"
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      "source": "security-advisories@github.com"
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              "versionEndExcluding": "1.22.0",
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    }
  ],
  "id": "CVE-2026-44512",
  "lastModified": "2026-07-13T17:02:01.533",
  "metrics": {
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      {
        "cvssData": {
          "attackComplexity": "LOW",
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          "availabilityImpact": "HIGH",
          "baseScore": 5.5,
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          "confidentialityImpact": "NONE",
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          "privilegesRequired": "NONE",
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GHSA-HWPQ-HMQ9-WJ77

Vulnerability from github – Published: 2026-07-07 13:02 – Updated: 2026-07-07 13:02

Summary

ONNX has Null Pointer Dereference in Upsample Version Converter Adapter (Zero Inputs)

Details

Summary

Null pointer dereference (SIGSEGV) in Upsample_6_7::adapt_upsample_6_7() (onnx/version_converter/adapters/upsample_6_7.h:31) when convert_version() processes a model with an Upsample node that has zero inputs. The adapter accesses node->inputs()[0]->sizes() without checking input count. 107-byte PoC crashes on Release build.

This is the same class of bug as the Cast adapter advisory (separate report) but in a different adapter, different file, and different operator.

Details

The Upsample 6→7 adapter validates attributes but not inputs:

// upsample_6_7.h:20-33
void adapt_upsample_6_7(..., Node* node) const {
    ONNX_ASSERTM(
        node->hasAttribute(width_scale_symbol) && node->hasAttribute(height_scale_symbol),
        "...")  // Attribute check PASSES

    auto width_scale = node->f(width_scale_symbol);
    auto height_scale = node->f(height_scale_symbol);

    auto input_shape = node->inputs()[0]->sizes();
    //                 ^^^^^^^^^^^^^^^^^^^^
    //                 OOB when inputs().size() == 0 → SIGSEGV
}

The PoC has an Upsample node at opset 6 with the required width_scale and height_scale attributes but zero inputs. The attribute assertions pass, then node->inputs()[0] on an empty ArrayRef: - Release builds (NDEBUG): bounds-check assertion compiled out → reads garbage pointer → SIGSEGV - Debug builds: assert(Index < Length) at array_ref.h:159 → SIGABRT

An Upsample node with zero inputs passes graphProtoToGraph() because the import code only resolves input names present in the protobuf.

PoC

import base64
import onnx
from onnx import version_converter

poc_b64 = "CAI6YQo8EgFZIghVcHNhbXBsZSoVCgt3aWR0aF9zY2FsZRUAAABAoAEBKhYKDGhlaWdodF9zY2FsZRUAAABAoAEBEgR0ZXN0YhsKAVkSFgoUCAESEAoCCAEKAggBCgIIBAoCCARCBAoAEAY="

model = onnx.load_from_string(base64.b64decode(poc_b64))

# CRASHES — Upsample_6_7 adapter dereferences empty inputs array
version_converter.convert_version(model, 7)  # SIGSEGV

107-byte PoC. Confirmed SIGSEGV on both onnx 1.21.0 (pip) and 1.22.0 (source build).

Impact

Any application that uses onnx.version_converter.convert_version() on untrusted models is vulnerable. This includes model conversion pipelines and tools that auto-upgrade opset versions for compatibility. The crash is unrecoverable (SIGSEGV).

This vulnerability is part of a systemic pattern across multiple version converter adapters. A full audit of all ~45 adapters was performed as part of the fix; eight adapters were found with the same class of unguarded indexed access (cast_9_8, softmax_12_13, softmax_13_12, upsample_6_7, upsample_9_10, group_normalization_20_21, broadcast_forward_compatibility, upsample_9_8) and all have been fixed in PR #7813.

Severity

5.5 (Medium)


                  
                    CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "onnx"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.9.0"
            },
            {
              "fixed": "1.22.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-44512"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-07-07T13:02:10Z",
    "nvd_published_at": null,
    "severity": "MODERATE"
  },
  "details": "### Summary\n\nNull pointer dereference (SIGSEGV) in `Upsample_6_7::adapt_upsample_6_7()` (`onnx/version_converter/adapters/upsample_6_7.h:31`) when `convert_version()` processes a model with an Upsample node that has zero inputs. The adapter accesses `node-\u003einputs()[0]-\u003esizes()` without checking input count. 107-byte PoC crashes on Release build.\n\nThis is the same class of bug as the Cast adapter advisory (separate report) but in a different adapter, different file, and different operator.\n\n### Details\n\nThe Upsample 6\u21927 adapter validates attributes but not inputs:\n```cpp\n// upsample_6_7.h:20-33\nvoid adapt_upsample_6_7(..., Node* node) const {\n    ONNX_ASSERTM(\n        node-\u003ehasAttribute(width_scale_symbol) \u0026\u0026 node-\u003ehasAttribute(height_scale_symbol),\n        \"...\")  // Attribute check PASSES\n\n    auto width_scale = node-\u003ef(width_scale_symbol);\n    auto height_scale = node-\u003ef(height_scale_symbol);\n\n    auto input_shape = node-\u003einputs()[0]-\u003esizes();\n    //                 ^^^^^^^^^^^^^^^^^^^^\n    //                 OOB when inputs().size() == 0 \u2192 SIGSEGV\n}\n```\n\nThe PoC has an Upsample node at opset 6 with the required `width_scale` and `height_scale` attributes but zero inputs. The attribute assertions pass, then `node-\u003einputs()[0]` on an empty `ArrayRef`:\n- Release builds (`NDEBUG`): bounds-check assertion compiled out \u2192 reads garbage pointer \u2192 SIGSEGV\n- Debug builds: `assert(Index \u003c Length)` at `array_ref.h:159` \u2192 SIGABRT\n\nAn Upsample node with zero inputs passes `graphProtoToGraph()` because the import code only resolves input names present in the protobuf.\n\n### PoC\n```python\nimport base64\nimport onnx\nfrom onnx import version_converter\n\npoc_b64 = \"CAI6YQo8EgFZIghVcHNhbXBsZSoVCgt3aWR0aF9zY2FsZRUAAABAoAEBKhYKDGhlaWdodF9zY2FsZRUAAABAoAEBEgR0ZXN0YhsKAVkSFgoUCAESEAoCCAEKAggBCgIIBAoCCARCBAoAEAY=\"\n\nmodel = onnx.load_from_string(base64.b64decode(poc_b64))\n\n# CRASHES \u2014 Upsample_6_7 adapter dereferences empty inputs array\nversion_converter.convert_version(model, 7)  # SIGSEGV\n```\n\n107-byte PoC. Confirmed SIGSEGV on both onnx 1.21.0 (pip) and 1.22.0 (source build).\n\n### Impact\n\nAny application that uses `onnx.version_converter.convert_version()` on untrusted models is vulnerable. This includes model conversion pipelines and tools that auto-upgrade opset versions for compatibility. The crash is unrecoverable (SIGSEGV). \n\nThis vulnerability is part of a systemic pattern across multiple version converter adapters. A full audit of all ~45 adapters was performed as part of the fix; eight adapters were found with the same class of unguarded indexed access (cast_9_8, softmax_12_13, softmax_13_12, upsample_6_7, upsample_9_10, group_normalization_20_21, broadcast_forward_compatibility, upsample_9_8) and all have been fixed in PR #7813.",
  "id": "GHSA-hwpq-hmq9-wj77",
  "modified": "2026-07-07T13:02:10Z",
  "published": "2026-07-07T13:02:10Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/onnx/onnx/security/advisories/GHSA-hwpq-hmq9-wj77"
    },
    {
      "type": "WEB",
      "url": "https://github.com/onnx/onnx/pull/7916"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/onnx/onnx"
    },
    {
      "type": "WEB",
      "url": "https://github.com/onnx/onnx/releases/tag/v1.22.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "ONNX has Null Pointer Dereference in Upsample Version Converter Adapter (Zero Inputs)"
}

PYSEC-2026-2689

Vulnerability from pysec - Published: 2026-07-13 15:46 - Updated: 2026-07-13 16:05

Details

Summary

This is the same class of bug as the Cast adapter advisory (separate report) but in a different adapter, different file, and different operator.

Details

The Upsample 6→7 adapter validates attributes but not inputs:

// upsample_6_7.h:20-33
void adapt_upsample_6_7(..., Node* node) const {
    ONNX_ASSERTM(
        node->hasAttribute(width_scale_symbol) && node->hasAttribute(height_scale_symbol),
        "...")  // Attribute check PASSES

    auto width_scale = node->f(width_scale_symbol);
    auto height_scale = node->f(height_scale_symbol);

    auto input_shape = node->inputs()[0]->sizes();
    //                 ^^^^^^^^^^^^^^^^^^^^
    //                 OOB when inputs().size() == 0 → SIGSEGV
}

An Upsample node with zero inputs passes graphProtoToGraph() because the import code only resolves input names present in the protobuf.

PoC

import base64
import onnx
from onnx import version_converter

poc_b64 = "CAI6YQo8EgFZIghVcHNhbXBsZSoVCgt3aWR0aF9zY2FsZRUAAABAoAEBKhYKDGhlaWdodF9zY2FsZRUAAABAoAEBEgR0ZXN0YhsKAVkSFgoUCAESEAoCCAEKAggBCgIIBAoCCARCBAoAEAY="

model = onnx.load_from_string(base64.b64decode(poc_b64))

# CRASHES — Upsample_6_7 adapter dereferences empty inputs array
version_converter.convert_version(model, 7)  # SIGSEGV

107-byte PoC. Confirmed SIGSEGV on both onnx 1.21.0 (pip) and 1.22.0 (source build).

Impact

Severity

5.5 (Medium)


                  
                    CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

Impacted products

Name	purl
onnx	pkg:pypi/onnx

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "onnx",
        "purl": "pkg:pypi/onnx"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.9.0"
            },
            {
              "fixed": "1.22.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.10.0",
        "1.10.1",
        "1.10.2",
        "1.11.0",
        "1.12.0",
        "1.13.0",
        "1.13.1",
        "1.14.0",
        "1.14.1",
        "1.15.0",
        "1.16.0",
        "1.16.1",
        "1.16.2",
        "1.17.0",
        "1.18.0",
        "1.19.0",
        "1.19.1",
        "1.19.1rc1",
        "1.20.0",
        "1.20.0rc1",
        "1.20.0rc2",
        "1.20.1",
        "1.20.1rc1",
        "1.21.0",
        "1.21.0rc1",
        "1.21.0rc2",
        "1.21.0rc3",
        "1.21.0rc4",
        "1.22.0rc1",
        "1.22.0rc2",
        "1.9.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-44512",
    "GHSA-hwpq-hmq9-wj77"
  ],
  "details": "### Summary\n\nNull pointer dereference (SIGSEGV) in `Upsample_6_7::adapt_upsample_6_7()` (`onnx/version_converter/adapters/upsample_6_7.h:31`) when `convert_version()` processes a model with an Upsample node that has zero inputs. The adapter accesses `node-\u003einputs()[0]-\u003esizes()` without checking input count. 107-byte PoC crashes on Release build.\n\nThis is the same class of bug as the Cast adapter advisory (separate report) but in a different adapter, different file, and different operator.\n\n### Details\n\nThe Upsample 6\u21927 adapter validates attributes but not inputs:\n```cpp\n// upsample_6_7.h:20-33\nvoid adapt_upsample_6_7(..., Node* node) const {\n    ONNX_ASSERTM(\n        node-\u003ehasAttribute(width_scale_symbol) \u0026\u0026 node-\u003ehasAttribute(height_scale_symbol),\n        \"...\")  // Attribute check PASSES\n\n    auto width_scale = node-\u003ef(width_scale_symbol);\n    auto height_scale = node-\u003ef(height_scale_symbol);\n\n    auto input_shape = node-\u003einputs()[0]-\u003esizes();\n    //                 ^^^^^^^^^^^^^^^^^^^^\n    //                 OOB when inputs().size() == 0 \u2192 SIGSEGV\n}\n```\n\nThe PoC has an Upsample node at opset 6 with the required `width_scale` and `height_scale` attributes but zero inputs. The attribute assertions pass, then `node-\u003einputs()[0]` on an empty `ArrayRef`:\n- Release builds (`NDEBUG`): bounds-check assertion compiled out \u2192 reads garbage pointer \u2192 SIGSEGV\n- Debug builds: `assert(Index \u003c Length)` at `array_ref.h:159` \u2192 SIGABRT\n\nAn Upsample node with zero inputs passes `graphProtoToGraph()` because the import code only resolves input names present in the protobuf.\n\n### PoC\n```python\nimport base64\nimport onnx\nfrom onnx import version_converter\n\npoc_b64 = \"CAI6YQo8EgFZIghVcHNhbXBsZSoVCgt3aWR0aF9zY2FsZRUAAABAoAEBKhYKDGhlaWdodF9zY2FsZRUAAABAoAEBEgR0ZXN0YhsKAVkSFgoUCAESEAoCCAEKAggBCgIIBAoCCARCBAoAEAY=\"\n\nmodel = onnx.load_from_string(base64.b64decode(poc_b64))\n\n# CRASHES \u2014 Upsample_6_7 adapter dereferences empty inputs array\nversion_converter.convert_version(model, 7)  # SIGSEGV\n```\n\n107-byte PoC. Confirmed SIGSEGV on both onnx 1.21.0 (pip) and 1.22.0 (source build).\n\n### Impact\n\nAny application that uses `onnx.version_converter.convert_version()` on untrusted models is vulnerable. This includes model conversion pipelines and tools that auto-upgrade opset versions for compatibility. The crash is unrecoverable (SIGSEGV). \n\nThis vulnerability is part of a systemic pattern across multiple version converter adapters. A full audit of all ~45 adapters was performed as part of the fix; eight adapters were found with the same class of unguarded indexed access (cast_9_8, softmax_12_13, softmax_13_12, upsample_6_7, upsample_9_10, group_normalization_20_21, broadcast_forward_compatibility, upsample_9_8) and all have been fixed in PR #7813.",
  "id": "PYSEC-2026-2689",
  "modified": "2026-07-13T16:05:09.671317Z",
  "published": "2026-07-13T15:46:29.073664Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/onnx/onnx/security/advisories/GHSA-hwpq-hmq9-wj77"
    },
    {
      "type": "WEB",
      "url": "https://github.com/onnx/onnx/pull/7916"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/onnx/onnx"
    },
    {
      "type": "WEB",
      "url": "https://github.com/onnx/onnx/releases/tag/v1.22.0"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/onnx"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-hwpq-hmq9-wj77"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-44512"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "ONNX has Null Pointer Dereference in Upsample Version Converter Adapter (Zero Inputs)"
}

ubuntu-cve-2026-44512

Vulnerability from osv_ubuntu

Published

2026-07-08 20:16

Modified

2026-07-15 17:51

Summary

Details

Severity

5.5 (Medium)


                    
                      CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

N/A (UNKNOWN)


                    
                      medium

References

URL

Type

	https://ubuntu.com/security/CVE-2026-44512	REPORT
	https://www.cve.org/CVERecord?id=CVE-2026-44512	REPORT
	https://github.com/onnx/onnx/commit/cd310408165ad…	REPORT
	https://github.com/onnx/onnx/pull/7813	REPORT
	https://github.com/onnx/onnx/releases/tag/v1.22.0	REPORT
	https://github.com/onnx/onnx/security/advisories/…	REPORT

JSON

To clipboard

{
  "affected": [
    {
      "ecosystem_specific": {
        "binaries": [
          {
            "binary_name": "libonnx-testdata",
            "binary_version": "1.7.0+dfsg-3ubuntu2"
          },
          {
            "binary_name": "libonnx1",
            "binary_version": "1.7.0+dfsg-3ubuntu2"
          },
          {
            "binary_name": "libonnxifi",
            "binary_version": "1.7.0+dfsg-3ubuntu2"
          },
          {
            "binary_name": "python3-onnx",
            "binary_version": "1.7.0+dfsg-3ubuntu2"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:22.04:LTS",
        "name": "onnx",
        "purl": "pkg:deb/ubuntu/onnx@1.7.0+dfsg-3ubuntu2?arch=source\u0026distro=jammy"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.7.0+dfsg-3build1",
        "1.7.0+dfsg-3build2",
        "1.7.0+dfsg-3ubuntu1",
        "1.7.0+dfsg-3ubuntu2"
      ]
    },
    {
      "ecosystem_specific": {
        "binaries": [
          {
            "binary_name": "libonnx-testdata",
            "binary_version": "1.14.1-2.1ubuntu0.1~esm1"
          },
          {
            "binary_name": "libonnx1t64",
            "binary_version": "1.14.1-2.1ubuntu0.1~esm1"
          },
          {
            "binary_name": "python3-onnx",
            "binary_version": "1.14.1-2.1ubuntu0.1~esm1"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:Pro:24.04:LTS",
        "name": "onnx",
        "purl": "pkg:deb/ubuntu/onnx@1.14.1-2.1ubuntu0.1~esm1?arch=source\u0026distro=esm-apps/noble"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.13.1-3",
        "1.13.1-3build1",
        "1.14.1-2",
        "1.14.1-2.1",
        "1.14.1-2.1build1",
        "1.14.1-2.1build2",
        "1.14.1-2.1ubuntu0.1~esm1"
      ]
    },
    {
      "ecosystem_specific": {
        "binaries": [
          {
            "binary_name": "libonnx-testdata",
            "binary_version": "1.17.0-3build1"
          },
          {
            "binary_name": "libonnx1t64",
            "binary_version": "1.17.0-3build1"
          },
          {
            "binary_name": "python3-onnx",
            "binary_version": "1.17.0-3build1"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:25.10",
        "name": "onnx",
        "purl": "pkg:deb/ubuntu/onnx@1.17.0-3build1?arch=source\u0026distro=questing"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.17.0-3build1"
      ]
    },
    {
      "ecosystem_specific": {
        "binaries": [
          {
            "binary_name": "libonnx-testdata",
            "binary_version": "1.20.0-1"
          },
          {
            "binary_name": "libonnx1t64",
            "binary_version": "1.20.0-1"
          },
          {
            "binary_name": "python3-onnx",
            "binary_version": "1.20.0-1"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:26.04:LTS",
        "name": "onnx",
        "purl": "pkg:deb/ubuntu/onnx@1.20.0-1?arch=source\u0026distro=resolute"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.17.0-3build1",
        "1.20.0-1"
      ]
    }
  ],
  "aliases": [],
  "details": "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.",
  "id": "UBUNTU-CVE-2026-44512",
  "modified": "2026-07-15T17:51:44Z",
  "published": "2026-07-08T20:16:00Z",
  "references": [
    {
      "type": "REPORT",
      "url": "https://ubuntu.com/security/CVE-2026-44512"
    },
    {
      "type": "REPORT",
      "url": "https://www.cve.org/CVERecord?id=CVE-2026-44512"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/onnx/onnx/commit/cd310408165ad47c3cd7eb2b86cb5b80aa2e4fdf"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/onnx/onnx/pull/7813"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/onnx/onnx/releases/tag/v1.22.0"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/onnx/onnx/security/advisories/GHSA-hwpq-hmq9-wj77"
    }
  ],
  "related": [],
  "schema_version": "1.7.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "medium",
      "type": "Ubuntu"
    }
  ],
  "upstream": [
    "CVE-2026-44512"
  ]
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

Action not permitted

CVE-2026-44512 (GCVE-0-2026-44512)

FKIE_CVE-2026-44512

GHSA-HWPQ-HMQ9-WJ77

Summary

Details

PoC

Impact

PYSEC-2026-2689

Summary

Details

PoC

Impact

ubuntu-cve-2026-44512

Vulnerability from osv_ubuntu

Tags

Sightings

Nomenclature

Related by attack behaviour