CVE-2026-34445 (GCVE-0-2026-34445)
Vulnerability from cvelistv5
Published
2026-04-01 17:30
Modified
2026-04-01 18:00
Severity ?
VLAI Severity ?
EPSS score ?
CWE
Summary
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.
References
| URL | Tags | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-34445",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-01T17:59:29.944812Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-04-01T18:00:14.120Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "onnx",
"vendor": "onnx",
"versions": [
{
"status": "affected",
"version": "\u003c 1.21.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "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\u2019s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn\u2019t 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."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-20",
"description": "CWE-20: Improper Input Validation",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-400",
"description": "CWE-400: Uncontrolled Resource Consumption",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-915",
"description": "CWE-915: Improperly Controlled Modification of Dynamically-Determined Object Attributes",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-04-01T17:30:19.994Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/onnx/onnx/security/advisories/GHSA-538c-55jv-c5g9",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/onnx/onnx/security/advisories/GHSA-538c-55jv-c5g9"
},
{
"name": "https://github.com/onnx/onnx/pull/7751",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/onnx/onnx/pull/7751"
},
{
"name": "https://github.com/onnx/onnx/commit/e30c6935d67cc3eca2fa284e37248e7c0036c46b",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/onnx/onnx/commit/e30c6935d67cc3eca2fa284e37248e7c0036c46b"
}
],
"source": {
"advisory": "GHSA-538c-55jv-c5g9",
"discovery": "UNKNOWN"
},
"title": "ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings."
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-34445",
"datePublished": "2026-04-01T17:30:19.994Z",
"dateReserved": "2026-03-27T18:18:14.894Z",
"dateUpdated": "2026-04-01T18:00:14.120Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"vulnrichment": {
"containers": "{\"cna\": {\"title\": \"ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.\", \"problemTypes\": [{\"descriptions\": [{\"cweId\": \"CWE-20\", \"lang\": \"en\", \"description\": \"CWE-20: Improper Input Validation\", \"type\": \"CWE\"}]}, {\"descriptions\": [{\"cweId\": \"CWE-400\", \"lang\": \"en\", \"description\": \"CWE-400: Uncontrolled Resource Consumption\", \"type\": \"CWE\"}]}, {\"descriptions\": [{\"cweId\": \"CWE-915\", \"lang\": \"en\", \"description\": \"CWE-915: Improperly Controlled Modification of Dynamically-Determined Object Attributes\", \"type\": \"CWE\"}]}], \"metrics\": [{\"cvssV3_1\": {\"attackComplexity\": \"LOW\", \"attackVector\": \"NETWORK\", \"availabilityImpact\": \"HIGH\", \"baseScore\": 8.6, \"baseSeverity\": \"HIGH\", \"confidentialityImpact\": \"LOW\", \"integrityImpact\": \"LOW\", \"privilegesRequired\": \"NONE\", \"scope\": \"UNCHANGED\", \"userInteraction\": \"NONE\", \"vectorString\": \"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H\", \"version\": \"3.1\"}}], \"references\": [{\"name\": \"https://github.com/onnx/onnx/security/advisories/GHSA-538c-55jv-c5g9\", \"tags\": [\"x_refsource_CONFIRM\"], \"url\": \"https://github.com/onnx/onnx/security/advisories/GHSA-538c-55jv-c5g9\"}, {\"name\": \"https://github.com/onnx/onnx/pull/7751\", \"tags\": [\"x_refsource_MISC\"], \"url\": \"https://github.com/onnx/onnx/pull/7751\"}, {\"name\": \"https://github.com/onnx/onnx/commit/e30c6935d67cc3eca2fa284e37248e7c0036c46b\", \"tags\": [\"x_refsource_MISC\"], \"url\": \"https://github.com/onnx/onnx/commit/e30c6935d67cc3eca2fa284e37248e7c0036c46b\"}], \"affected\": [{\"vendor\": \"onnx\", \"product\": \"onnx\", \"versions\": [{\"version\": \"\u003c 1.21.0\", \"status\": \"affected\"}]}], \"providerMetadata\": {\"orgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"shortName\": \"GitHub_M\", \"dateUpdated\": \"2026-04-01T17:30:19.994Z\"}, \"descriptions\": [{\"lang\": \"en\", \"value\": \"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\\u2019s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn\\u2019t 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.\"}], \"source\": {\"advisory\": \"GHSA-538c-55jv-c5g9\", \"discovery\": \"UNKNOWN\"}}, \"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2026-34445\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"yes\"}, {\"Technical Impact\": \"partial\"}], \"version\": \"2.0.3\", \"timestamp\": \"2026-04-01T17:59:29.944812Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2026-04-01T17:59:33.771Z\"}}]}",
"cveMetadata": "{\"cveId\": \"CVE-2026-34445\", \"assignerOrgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"state\": \"PUBLISHED\", \"assignerShortName\": \"GitHub_M\", \"dateReserved\": \"2026-03-27T18:18:14.894Z\", \"datePublished\": \"2026-04-01T17:30:19.994Z\", \"dateUpdated\": \"2026-04-01T18:00:14.120Z\"}",
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.
Loading…
Loading…