Files
vuln-cve/data/2026/12xxx/CVE-2026-12570.json
T

127 lines
5.4 KiB
JSON

{
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"cveMetadata": {
"cveId": "CVE-2026-12570",
"assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
"state": "PUBLISHED",
"assignerShortName": "@huntr_ai",
"dateReserved": "2026-06-18T01:55:25.311Z",
"datePublished": "2026-08-10T06:29:56.111Z",
"dateUpdated": "2026-08-10T17:37:39.037Z"
},
"containers": {
"cna": {
"title": "Denial of Service via HDF5 Shape Bomb in keras.models.load_model() in keras-team/keras",
"providerMetadata": {
"orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
"shortName": "@huntr_ai",
"dateUpdated": "2026-08-10T06:29:56.111Z"
},
"descriptions": [
{
"lang": "en",
"value": "A vulnerability in keras-team/keras versions <= 3.15.0 allows for a denial of service (DoS) attack when loading malicious .keras model files via the keras.models.load_model() function. The H5IOStore.__getitem__ method in keras/src/saving/saving_lib.py does not validate the shape or size of datasets, leading to unbounded memory allocation. A specially crafted .keras file can exploit this flaw to trigger an out-of-memory (OOM) condition, causing the process to be terminated (exit code 137). This issue bypasses the fix for CVE-2026-0897, which only addressed a similar vulnerability in KerasFileEditor. The attack vector includes poisoned models from public repositories or malicious model registries, posing a risk to machine learning pipelines that process untrusted models."
}
],
"affected": [
{
"vendor": "keras-team",
"product": "keras-team/keras",
"versions": [
{
"version": "unspecified",
"lessThan": "3.12.3, 3.15.0",
"status": "affected",
"versionType": "custom"
}
]
}
],
"references": [
{
"url": "https://huntr.com/bounties/a064f475-780a-409a-82f7-678512f27ad8"
},
{
"url": "https://github.com/keras-team/keras/commit/4933ea4a5b3fcc24ceacdc276f5bb5dfbd06756c"
}
],
"metrics": [
{
"cvssV3_0": {
"version": "3.0",
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"baseScore": 5.5,
"baseSeverity": "MEDIUM"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"type": "CWE",
"lang": "en",
"description": "CWE-770 Allocation of Resources Without Limits or Throttling",
"cweId": "CWE-770"
}
]
}
],
"source": {
"advisory": "a064f475-780a-409a-82f7-678512f27ad8",
"discovery": "EXTERNAL"
}
},
"adp": [
{
"references": [
{
"url": "https://huntr.com/bounties/a064f475-780a-409a-82f7-678512f27ad8",
"tags": [
"exploit"
]
}
],
"metrics": [
{
"other": {
"type": "ssvc",
"content": {
"timestamp": "2026-08-10T17:37:17.637683Z",
"id": "CVE-2026-12570",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"version": "2.0.3"
}
}
}
],
"title": "CISA ADP Vulnrichment",
"providerMetadata": {
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP",
"dateUpdated": "2026-08-10T17:37:39.037Z"
}
}
]
}
}