FKIE_CVE-2025-1550
Vulnerability from fkie_nvd - Published: 2025-03-11 09:15 - Updated: 2026-06-17 08:39
Severity
Summary
The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading.
References
| URL | Tags | ||
|---|---|---|---|
| cve-coordination@google.com | https://github.com/keras-team/keras/pull/20751 | Issue Tracking, Patch | |
| cve-coordination@google.com | https://towerofhanoi.it/writeups/cve-2025-1550/ | Exploit, Third Party Advisory |
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://pypi.org/project/keras",
"defaultStatus": "unaffected",
"product": "Keras",
"repo": "https://github.com/keras-team/keras",
"vendor": "Google",
"versions": [
{
"lessThan": "3.8.0",
"status": "affected",
"version": "3.0.0",
"versionType": "python"
}
]
}
],
"source": "cve-coordination@google.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:keras:keras:*:*:*:*:*:*:*:*",
"matchCriteriaId": "A252DA83-7788-4277-A8B0-52F597A654A9",
"versionEndExcluding": "3.8.0",
"versionStartIncluding": "3.0.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading."
},
{
"lang": "es",
"value": "La funci\u00f3n Keras Model.load_model permite la ejecuci\u00f3n de c\u00f3digo arbitrario, incluso con safe_mode=True, a trav\u00e9s de un archivo .keras malicioso creado manualmente. Al alterar el archivo config.json dentro del archivo, un atacante puede especificar m\u00f3dulos y funciones Python arbitrarios, junto con sus argumentos, para que se carguen y ejecuten durante la carga del modelo."
}
],
"id": "CVE-2025-1550",
"lastModified": "2026-06-17T08:39:21.253",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"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:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "LOCAL",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "HIGH",
"subIntegrityImpact": "HIGH",
"userInteraction": "ACTIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:A/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "cve-coordination@google.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-1550",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-07-24T15:28:37.159599Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-03-11T09:15:25.217",
"references": [
{
"source": "cve-coordination@google.com",
"tags": [
"Issue Tracking",
"Patch"
],
"url": "https://github.com/keras-team/keras/pull/20751"
},
{
"source": "cve-coordination@google.com",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://towerofhanoi.it/writeups/cve-2025-1550/"
}
],
"sourceIdentifier": "cve-coordination@google.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-94"
}
],
"source": "cve-coordination@google.com",
"type": "Secondary"
}
]
}
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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
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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.
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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.
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