CVE-2026-28500 (GCVE-0-2026-28500)
Vulnerability from cvelistv5 – Published: 2026-03-18 01:15 – Updated: 2026-07-15 01:11
VLAI
EPSS
VEX
Title
ONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() — Silent Supply-Chain Attack
Summary
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim's machine the moment the model is loaded. As of time of publication, no known patched versions are available.
Severity
8.6 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-18 14:08 UTC
CWE
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/onnx/onnx/security/advisories/… | x_refsource_CONFIRM |
| https://github.com/ZeroXJacks/CVEs/blob/main/2026… | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-28500 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2448518 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:24977 | vendor-advisoryx_refsource_REDHAT |
Impacted products
14 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| onnx | onnx |
Affected:
<= 1.20.1
|
guessed | |
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780078312 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780078429 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780069222 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780078632 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780078416 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780417775 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780078388 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780069146 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780078413 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780069226 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780078629 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780078414 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
||
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-28500",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-18T14:08:46.596652Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-03-18T14:08:50.003Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md"
}
],
"title": "CISA ADP Vulnrichment"
},
{
"affected": [
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078312",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078429",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780069222",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078632",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078416",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780417775",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078388",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780069146",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078413",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780069226",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078629",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078414",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078632",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780069222",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-openvino-model-server-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
}
],
"datePublic": "2026-03-18T01:15:07.644Z",
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in Open Neural Network Exchange (ONNX), an open standard for machine learning interoperability. A security control bypass exists in the `onnx.hub.load()` function due to improper logic in its repository trust verification. An attacker can exploit this by providing a malicious model, which, when loaded with the `silent=True` parameter, suppresses all security warnings. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks."
}
],
"metrics": [
{
"other": {
"content": {
"namespace": "https://access.redhat.com/security/updates/classification/",
"value": "Important"
},
"type": "Red Hat severity rating"
}
},
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
"version": "3.1"
},
"format": "CVSS"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-829",
"description": "Inclusion of Functionality from Untrusted Control Sphere",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-07-15T01:11:41.016Z",
"orgId": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"shortName": "redhat-SADP"
},
"references": [
{
"tags": [
"vdb-entry",
"x_refsource_REDHAT"
],
"url": "https://access.redhat.com/security/cve/CVE-2026-28500"
},
{
"name": "RHBZ#2448518",
"tags": [
"issue-tracking",
"x_refsource_REDHAT"
],
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2448518"
},
{
"tags": [
"x_sadp-csaf-vex"
],
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-28500.json"
},
{
"tags": [
"vendor-advisory",
"x_refsource_REDHAT"
],
"url": "https://access.redhat.com/errata/RHSA-2026:24977"
}
],
"solutions": [
{
"lang": "en",
"value": "RHSA-2026:24977: Red Hat OpenShift AI 2.25"
}
],
"timeline": [
{
"lang": "en",
"time": "2026-03-18T02:01:35.207Z",
"value": "Reported to Red Hat."
},
{
"lang": "en",
"time": "2026-03-18T01:15:07.644Z",
"value": "Made public."
}
],
"title": "onnx: ONNX: Untrusted Model Repository Warnings Suppressed",
"workarounds": [
{
"lang": "en",
"value": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability."
}
],
"x_adpType": "supplier",
"x_generator": {
"engine": "sadp-cli 1.0.0"
}
}
],
"cna": {
"affected": [
{
"product": "onnx",
"vendor": "onnx",
"versions": [
{
"status": "affected",
"version": "\u003c= 1.20.1"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim\u0027s machine the moment the model is loaded. As of time of publication, no known patched versions are available."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-345",
"description": "CWE-345: Insufficient Verification of Data Authenticity",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-494",
"description": "CWE-494: Download of Code Without Integrity Check",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-693",
"description": "CWE-693: Protection Mechanism Failure",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-03-18T01:15:07.644Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/onnx/onnx/security/advisories/GHSA-hqmj-h5c6-369m",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/onnx/onnx/security/advisories/GHSA-hqmj-h5c6-369m"
},
{
"name": "https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md"
}
],
"source": {
"advisory": "GHSA-hqmj-h5c6-369m",
"discovery": "UNKNOWN"
},
"title": "ONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() \u2014 Silent Supply-Chain Attack"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-28500",
"datePublished": "2026-03-18T01:15:07.644Z",
"dateReserved": "2026-02-27T20:57:47.708Z",
"dateUpdated": "2026-07-15T01:11:41.016Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-28500",
"date": "2026-09-19",
"epss": "0.00318",
"percentile": "0.24929"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "onnx",
"vendor": "onnx",
"versions": [
{
"status": "affected",
"version": "\u003c= 1.20.1"
}
]
}
],
"source": "security-advisories@github.com"
},
{
"affectedData": [
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078312",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078429",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780069222",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078632",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078416",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780417775",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078388",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780069146",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078413",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780069226",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078629",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078414",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780078632",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1780069222",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-openvino-model-server-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
}
],
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:linuxfoundation:onnx:*:*:*:*:*:*:*:*",
"matchCriteriaId": "34920498-08A0-464E-B9F2-1562D29E3F26",
"versionEndIncluding": "1.20.1",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim\u0027s machine the moment the model is loaded. As of time of publication, no known patched versions are available."
},
{
"lang": "es",
"value": "Open Neural Network Exchange (ONNX) es un est\u00e1ndar abierto para la interoperabilidad de aprendizaje autom\u00e1tico. En versiones hasta la 1.20.1 inclusive, existe un bypass de control de seguridad en onnx.hub.load() debido a una l\u00f3gica incorrecta en el mecanismo de verificaci\u00f3n de confianza del repositorio. Aunque la funci\u00f3n est\u00e1 dise\u00f1ada para advertir a los usuarios al cargar modelos de fuentes no oficiales, el uso del par\u00e1metro silent=True suprime completamente todas las advertencias de seguridad y las solicitudes de confirmaci\u00f3n. Esta vulnerabilidad transforma una funci\u00f3n est\u00e1ndar de carga de modelos en un vector para ataques de cadena de suministro de interacci\u00f3n cero. Cuando se encadena con vulnerabilidades del sistema de archivos, un atacante puede exfiltrar silenciosamente archivos sensibles (claves SSH, credenciales de la nube) de la m\u00e1quina de la v\u00edctima en el momento en que se carga el modelo. Al momento de la publicaci\u00f3n, no hay versiones parcheadas conocidas disponibles."
}
],
"id": "CVE-2026-28500",
"lastModified": "2026-07-15T02:19:15.327",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 4.0,
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.2,
"source": "nvd@nist.gov",
"type": "Primary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 4.0,
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-28500",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-18T14:08:46.596652Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-03-18T02:16:24.227",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md"
},
{
"source": "security-advisories@github.com",
"tags": [
"Vendor Advisory"
],
"url": "https://github.com/onnx/onnx/security/advisories/GHSA-hqmj-h5c6-369m"
},
{
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"url": "https://access.redhat.com/errata/RHSA-2026:24977"
},
{
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"url": "https://access.redhat.com/security/cve/CVE-2026-28500"
},
{
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2448518"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"tags": [
"Patch"
],
"url": "https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md"
},
{
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-28500.json"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-345"
},
{
"lang": "en",
"value": "CWE-494"
},
{
"lang": "en",
"value": "CWE-693"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-829"
}
],
"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Important",
"current_release_date": "2026-06-30T04:03:48+00:00",
"cve": "CVE-2026-28500",
"id": "CVE-2026-28500",
"initial_release_date": "2026-03-18T01:15:07.644000+00:00",
"product_status:fixed": "26",
"product_status:known_affected": "1",
"product_status:known_not_affected": "182",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "onnx: ONNX: Untrusted Model Repository Warnings Suppressed",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-28500.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "critical",
"current_release_date": "2026-03-20T00:25:06Z",
"cve": "CVE-2026-28500",
"id": "CVE-2026-28500",
"initial_release_date": "2026-03-20T00:25:06Z",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2026-28500",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2026-28500.json",
"version": "2"
},
"vulnrichment": {
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-28500",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-18T14:08:46.596652Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-03-18T14:08:41.528Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "onnx",
"vendor": "onnx",
"versions": [
{
"status": "affected",
"version": "\u003c= 1.20.1"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim\u0027s machine the moment the model is loaded. As of time of publication, no known patched versions are available."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-345",
"description": "CWE-345: Insufficient Verification of Data Authenticity",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-494",
"description": "CWE-494: Download of Code Without Integrity Check",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-693",
"description": "CWE-693: Protection Mechanism Failure",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-03-18T01:15:07.644Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/onnx/onnx/security/advisories/GHSA-hqmj-h5c6-369m",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/onnx/onnx/security/advisories/GHSA-hqmj-h5c6-369m"
},
{
"name": "https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md"
}
],
"source": {
"advisory": "GHSA-hqmj-h5c6-369m",
"discovery": "UNKNOWN"
},
"title": "ONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() \u2014 Silent Supply-Chain Attack"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-28500",
"datePublished": "2026-03-18T01:15:07.644Z",
"dateReserved": "2026-02-27T20:57:47.708Z",
"dateUpdated": "2026-03-18T14:08:50.003Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
Loading…
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.
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.
Loading…
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.
Loading…