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vuln-cve/data/2025/46xxx/CVE-2025-46567.json
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{
"dataType": "CVE_RECORD",
"dataVersion": "5.1",
"cveMetadata": {
"cveId": "CVE-2025-46567",
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"state": "PUBLISHED",
"assignerShortName": "GitHub_M",
"dateReserved": "2025-04-24T21:10:48.175Z",
"datePublished": "2025-05-01T17:20:41.020Z",
"dateUpdated": "2025-05-02T17:29:45.664Z"
},
"containers": {
"cna": {
"title": "LLaMA-Factory Allows Arbitrary Code Execution via Unsafe Deserialization in Ilamafy_baichuan2.py",
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"lang": "en",
"description": "CWE-502: Deserialization of Untrusted Data",
"type": "CWE"
}
]
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "LOW",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:L/A:L",
"version": "3.1"
}
}
],
"references": [
{
"name": "https://github.com/hiyouga/LLaMA-Factory/security/advisories/GHSA-f2f7-gj54-6vpv",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/hiyouga/LLaMA-Factory/security/advisories/GHSA-f2f7-gj54-6vpv"
},
{
"name": "https://github.com/hiyouga/LLaMA-Factory/commit/2989d39239d2f46e584c1e1180ba46b9768afb2a",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/hiyouga/LLaMA-Factory/commit/2989d39239d2f46e584c1e1180ba46b9768afb2a"
}
],
"affected": [
{
"vendor": "hiyouga",
"product": "LLaMA-Factory",
"versions": [
{
"version": "< 1.0.0",
"status": "affected"
}
]
}
],
"providerMetadata": {
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M",
"dateUpdated": "2025-05-01T17:20:41.020Z"
},
"descriptions": [
{
"lang": "en",
"value": "LLama Factory enables fine-tuning of large language models. Prior to version 1.0.0, a critical vulnerability exists in the `llamafy_baichuan2.py` script of the LLaMA-Factory project. The script performs insecure deserialization using `torch.load()` on user-supplied `.bin` files from an input directory. An attacker can exploit this behavior by crafting a malicious `.bin` file that executes arbitrary commands during deserialization. This issue has been patched in version 1.0.0."
}
],
"source": {
"advisory": "GHSA-f2f7-gj54-6vpv",
"discovery": "UNKNOWN"
}
},
"adp": [
{
"references": [
{
"url": "https://github.com/hiyouga/LLaMA-Factory/security/advisories/GHSA-f2f7-gj54-6vpv",
"tags": [
"exploit"
]
}
],
"metrics": [
{
"other": {
"type": "ssvc",
"content": {
"timestamp": "2025-05-02T17:29:42.693942Z",
"id": "CVE-2025-46567",
"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": "2025-05-02T17:29:45.664Z"
}
}
]
}
}