Arbitrary File Read in Keras via HDF5 External Datasets_CVE-2026-1669

{
    "lastseen": "",
    "description": "Arbitrary file read in the model loading mechanism (HDF5 integration) in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensitive information via a crafted .keras model file utilizing HDF5 external dataset references.",
    "published": "2026-02-11T22:10:10.031Z",
    "modified": "2026-02-11T22:10:10.031Z",
    "type": "cve",
    "title": "Arbitrary File Read in Keras via HDF5 External Datasets",
    "source": "Google",
    "references": "https://github.com/google/security-research/security/advisories",
    "id": "CVE-2026-1669",
    "bulletinFamily": "",
    "cwe": [
        "CWE-73",
        "CWE-200"
    ],
    "cvelist": null,
    "sourceData": "Google Keras 3.0.0",
    "sourceHref": "",
    "cvss": {
        "score": 7.1,
        "severity": "HIGH",
        "vector": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:L/VA:N/SC:N/SI:N/SA:N",
        "version": "4.0"
    },
    "cvss2": [],
    "cvss3": {
        "version": "",
        "vectorString": "",
        "baseScore": 0,
        "baseSeverity": "",
        "attackVector": "",
        "attackComplexity": "",
        "privilegesRequired": "",
        "userInteraction": "",
        "scope": "",
        "confidentialityImpact": "",
        "integrityImpact": "",
        "availabilityImpact": "",
        "cvssV3": {
            "version": "",
            "vectorString": "",
            "baseScore": 0,
            "baseSeverity": "",
            "attackVector": "",
            "attackComplexity": "",
            "privilegesRequired": "",
            "userInteraction": "",
            "scope": "",
            "confidentialityImpact": "",
            "integrityImpact": "",
            "availabilityImpact": ""
        }
    },
    "href": "",
    "category_name": "CVE",
    "post_link": "",
    "product": "Keras",
    "version": "3.0.0",
    "vendor": "Google",
    "ai_description": "",
    "ai_severity": "",
    "ai_vendor": "",
    "ai_product": "",
    "ai_version": "",
    "ai_score": 0
}