Files
vuln-cve/data/2025/8xxx/CVE-2025-8747.json
T

192 lines
7.4 KiB
JSON

{
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"cveMetadata": {
"cveId": "CVE-2025-8747",
"assignerOrgId": "14ed7db2-1595-443d-9d34-6215bf890778",
"state": "PUBLISHED",
"assignerShortName": "Google",
"dateReserved": "2025-08-08T09:37:17.811Z",
"datePublished": "2025-08-11T07:21:16.619Z",
"dateUpdated": "2026-02-26T17:49:45.906Z"
},
"containers": {
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "Keras",
"repo": "https://github.com/keras-team/keras",
"vendor": "Google",
"versions": [
{
"lessThanOrEqual": "3.10.0",
"status": "affected",
"version": "3.0.0",
"versionType": "semver"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "reporter",
"value": "JFrog Security Research Team"
}
],
"datePublic": "2025-06-14T09:00:00.000Z",
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attacker to achieve arbitrary code execution by convincing a user to load a specially crafted `.keras` model archive."
}
],
"value": "A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attacker to achieve arbitrary code execution by convincing a user to load a specially crafted `.keras` model archive."
}
],
"impacts": [
{
"capecId": "CAPEC-242",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-242 Code Injection"
}
]
}
],
"metrics": [
{
"cvssV4_0": {
"Automatable": "YES",
"Recovery": "AUTOMATIC",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "LOCAL",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "HIGH",
"subIntegrityImpact": "HIGH",
"userInteraction": "PASSIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/AU:Y/R:A",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502 Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"orgId": "14ed7db2-1595-443d-9d34-6215bf890778",
"shortName": "Google",
"dateUpdated": "2025-08-11T07:21:16.619Z"
},
"references": [
{
"tags": [
"patch"
],
"url": "https://github.com/keras-team/keras/pull/21429"
},
{
"tags": [
"third-party-advisory"
],
"url": "https://jfrog.com/blog/keras-safe_mode-bypass-vulnerability/"
}
],
"solutions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "Upgrade to a version of Keras with the fix implemented (version 3.11.0 or newer)."
}
],
"value": "Upgrade to a version of Keras with the fix implemented (version 3.11.0 or newer)."
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "Keras safe_mode bypass allows arbitrary code execution when loading a malicious model.",
"x_generator": {
"engine": "Vulnogram 0.2.0"
}
},
"adp": [
{
"metrics": [
{
"other": {
"type": "ssvc",
"content": {
"id": "CVE-2025-8747",
"role": "CISA Coordinator",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"version": "2.0.3",
"timestamp": "2025-08-15T03:55:48.540132Z"
}
}
}
],
"references": [
{
"url": "https://jfrog.com/blog/keras-safe_mode-bypass-vulnerability/",
"tags": [
"exploit"
]
}
],
"title": "CISA ADP Vulnrichment",
"providerMetadata": {
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP",
"dateUpdated": "2026-02-26T17:49:45.906Z"
}
}
]
}
}