FKIE_CVE-2025-53002
Vulnerability from fkie_nvd - Published: 2025-06-26 15:15 - Updated: 2026-06-17 09:37
Severity
8.3 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:H
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/
Summary
LLaMA-Factory is a tuning library for large language models. A remote code execution vulnerability was discovered in LLaMA-Factory versions up to and including 0.9.3 during the LLaMA-Factory training process. This vulnerability arises because the `vhead_file` is loaded without proper safeguards, allowing malicious attackers to execute arbitrary malicious code on the host system simply by passing a malicious `Checkpoint path` parameter through the `WebUI` interface. The attack is stealthy, as the victim remains unaware of the exploitation. The root cause is that the `vhead_file` argument is loaded without the secure parameter `weights_only=True`. Version 0.9.4 contains a fix for the issue.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| hiyouga | llama-factory | * |
{
"affected": [
{
"affectedData": [
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"product": "LLaMA-Factory",
"vendor": "hiyouga",
"versions": [
{
"status": "affected",
"version": "\u003c 0.9.4"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
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"versionEndExcluding": "0.9.4",
"vulnerable": true
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "LLaMA-Factory is a tuning library for large language models. A remote code execution vulnerability was discovered in LLaMA-Factory versions up to and including 0.9.3 during the LLaMA-Factory training process. This vulnerability arises because the `vhead_file` is loaded without proper safeguards, allowing malicious attackers to execute arbitrary malicious code on the host system simply by passing a malicious `Checkpoint path` parameter through the `WebUI` interface. The attack is stealthy, as the victim remains unaware of the exploitation. The root cause is that the `vhead_file` argument is loaded without the secure parameter `weights_only=True`. Version 0.9.4 contains a fix for the issue."
},
{
"lang": "es",
"value": "LLaMA-Factory es una librer\u00eda de optimizaci\u00f3n para modelos de lenguaje grandes. Se descubri\u00f3 una vulnerabilidad de ejecuci\u00f3n remota de c\u00f3digo en versiones de LLaMA-Factory hasta la 0.9.3 (incluida) durante su entrenamiento. Esta vulnerabilidad surge porque el `vhead_file` se carga sin las protecciones adecuadas, lo que permite a atacantes maliciosos ejecutar c\u00f3digo malicioso arbitrario en el sistema host simplemente pasando el par\u00e1metro `Checkpoint path` malicioso a trav\u00e9s de la interfaz `WebUI`. El ataque es sigiloso, ya que la v\u00edctima desconoce la explotaci\u00f3n. La causa principal es que el argumento `vhead_file` se carga sin el par\u00e1metro seguro `weights_only=True`. La versi\u00f3n 0.9.4 contiene una soluci\u00f3n para este problema."
}
],
"id": "CVE-2025-53002",
"lastModified": "2026-06-17T09:37:27.313",
"metrics": {
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"integrityImpact": "LOW",
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"role": "CISA Coordinator",
"timestamp": "2025-06-26T15:05:57.527009Z",
"version": "2.0.3"
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"published": "2025-06-26T15:15:23.873",
"references": [
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"url": "https://drive.google.com/file/d/1AddKm2mllsXfuvL4Tvbn_WJdjEOYXx4y/view?usp=sharing"
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"weaknesses": [
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"value": "CWE-94"
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{
"lang": "en",
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"source": "security-advisories@github.com",
"type": "Secondary"
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]
}
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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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