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CVE-2025-53002VulnerabilityPublished

CVE-2025-53002: hiyouga LLaMA-Factory · Code Injection

Affects hiyouga LLaMA-FactorySource CVE Database V5

0

Not known to be exploited · CVSS 8.3 High : upgrade to 0.9.4 soon.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
8.3High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
1.2% chance of exploitation in 30 days – higher than 68% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.9.4
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 26 Jun 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

What to do

Upgrade hiyouga/LLaMA-Factory to 0.9.4.

Affected software

ProductAffectedFixed in
GitHubhiyouga/LLaMA-Factorypkg:github/hiyouga/LLaMA-FactoryOther threatsAffected
  • <0.9.4
Fixed in
  • 0.9.4

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

European organizations should immediately upgrade all instances of LLaMA-Factory to version 0.9.4 or later, where the vulnerability is patched. Until upgrades are complete, restrict access to the WebUI interface by implementing network segmentation, firewall rules, and VPN access to limit exposure to trusted users only. Employ strict authentication and authorization controls on the WebUI to prevent unauthorized parameter injection. Conduct thorough code reviews and security testing on any custom integrations or extensions involving the `vhead_file` loading process. Monitor logs and network traffic for unusual activity related to the WebUI or model training processes, including unexpected checkpoint path parameters or code execution attempts. Implement endpoint detection and response (EDR) solutions capable of identifying suspicious process executions originating from the LLaMA-Factory environment. Educate development and operations teams about the risks of insecure deserialization and code injection, emphasizing secure coding practices such as validating and sanitizing all inputs and using secure loading parameters. Finally, maintain an incident response plan tailored to AI infrastructure compromises to enable rapid containment and remediation if exploitation is suspected.

Description

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

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