CVE-2025-49655 (GCVE-0-2025-49655)
Vulnerability from cvelistv5 – Published: 2025-10-17 15:20 – Updated: 2025-10-17 15:58
VLAI?
Summary
Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a TorchModuleWrapper class to run arbitrary code on an end user’s system when loaded despite safe mode being enabled. The vulnerability can be triggered through both local and remote files.
Severity ?
9.8 (Critical)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2025-49655",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-10-17T15:57:54.529745Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-10-17T15:58:34.204Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "Keras",
"repo": "https://github.com/keras-team/keras",
"vendor": "Keras",
"versions": [
{
"lessThan": "3.11.3",
"status": "affected",
"version": "3.11.0",
"versionType": "semver"
}
]
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a\u0026nbsp;TorchModuleWrapper class to run arbitrary code on an end user\u2019s system when loaded despite safe mode being enabled. The vulnerability can be triggered through both local and remote files.\u003cbr\u003e"
}
],
"value": "Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a\u00a0TorchModuleWrapper class to run arbitrary code on an end user\u2019s system when loaded despite safe mode being enabled. The vulnerability can be triggered through both local and remote files."
}
],
"impacts": [
{
"capecId": "CAPEC-586",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-586 Object Injection"
}
]
}
],
"metrics": [
{
"cvssV3_1": {
"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"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502 Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-10-17T15:20:27.308Z",
"orgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
"shortName": "HiddenLayer"
},
"references": [
{
"url": "https://hiddenlayer.com/sai_security_advisor/2025-10-keras/"
},
{
"url": "https://github.com/keras-team/keras/pull/21575"
}
],
"source": {
"discovery": "UNKNOWN"
},
"x_generator": {
"engine": "Vulnogram 0.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
"assignerShortName": "HiddenLayer",
"cveId": "CVE-2025-49655",
"datePublished": "2025-10-17T15:20:27.308Z",
"dateReserved": "2025-06-09T13:58:25.617Z",
"dateUpdated": "2025-10-17T15:58:34.204Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1",
"vulnerability-lookup:meta": {
"nvd": "{\"cve\":{\"id\":\"CVE-2025-49655\",\"sourceIdentifier\":\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\",\"published\":\"2025-10-17T16:15:37.420\",\"lastModified\":\"2025-10-21T19:31:50.020\",\"vulnStatus\":\"Awaiting Analysis\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a\u00a0TorchModuleWrapper class to run arbitrary code on an end user\u2019s system when loaded despite safe mode being enabled. The vulnerability can be triggered through both local and remote files.\"}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H\",\"baseScore\":9.8,\"baseSeverity\":\"CRITICAL\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":3.9,\"impactScore\":5.9}]},\"weaknesses\":[{\"source\":\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-502\"}]}],\"references\":[{\"url\":\"https://github.com/keras-team/keras/pull/21575\",\"source\":\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\"},{\"url\":\"https://hiddenlayer.com/sai_security_advisor/2025-10-keras/\",\"source\":\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\"}]}}",
"vulnrichment": {
"containers": "{\"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2025-49655\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"poc\"}, {\"Automatable\": \"yes\"}, {\"Technical Impact\": \"total\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-10-17T15:57:54.529745Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-10-17T15:58:27.423Z\"}}], \"cna\": {\"source\": {\"discovery\": \"UNKNOWN\"}, \"impacts\": [{\"capecId\": \"CAPEC-586\", \"descriptions\": [{\"lang\": \"en\", \"value\": \"CAPEC-586 Object Injection\"}]}], \"metrics\": [{\"format\": \"CVSS\", \"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 9.8, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"CRITICAL\", \"vectorString\": \"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H\", \"integrityImpact\": \"HIGH\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"LOW\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"HIGH\"}, \"scenarios\": [{\"lang\": \"en\", \"value\": \"GENERAL\"}]}], \"affected\": [{\"repo\": \"https://github.com/keras-team/keras\", \"vendor\": \"Keras\", \"product\": \"Keras\", \"versions\": [{\"status\": \"affected\", \"version\": \"3.11.0\", \"lessThan\": \"3.11.3\", \"versionType\": \"semver\"}], \"defaultStatus\": \"unaffected\"}], \"references\": [{\"url\": \"https://hiddenlayer.com/sai_security_advisor/2025-10-keras/\"}, {\"url\": \"https://github.com/keras-team/keras/pull/21575\"}], \"x_generator\": {\"engine\": \"Vulnogram 0.2.0\"}, \"descriptions\": [{\"lang\": \"en\", \"value\": \"Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a\\u00a0TorchModuleWrapper class to run arbitrary code on an end user\\u2019s system when loaded despite safe mode being enabled. The vulnerability can be triggered through both local and remote files.\", \"supportingMedia\": [{\"type\": \"text/html\", \"value\": \"Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a\u0026nbsp;TorchModuleWrapper class to run arbitrary code on an end user\\u2019s system when loaded despite safe mode being enabled. The vulnerability can be triggered through both local and remote files.\u003cbr\u003e\", \"base64\": false}]}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-502\", \"description\": \"CWE-502 Deserialization of Untrusted Data\"}]}], \"providerMetadata\": {\"orgId\": \"6f8de1f0-f67e-45a6-b68f-98777fdb759c\", \"shortName\": \"HiddenLayer\", \"dateUpdated\": \"2025-10-17T15:20:27.308Z\"}}}",
"cveMetadata": "{\"cveId\": \"CVE-2025-49655\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2025-10-17T15:58:34.204Z\", \"dateReserved\": \"2025-06-09T13:58:25.617Z\", \"assignerOrgId\": \"6f8de1f0-f67e-45a6-b68f-98777fdb759c\", \"datePublished\": \"2025-10-17T15:20:27.308Z\", \"assignerShortName\": \"HiddenLayer\"}",
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
Loading…
Loading…
Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Loading…
Loading…