What is the CVSS score of CVE-2025-46567?

CVE-2025-46567 has a CVSS 3.1 base score of 6.1 (Medium). CVSS vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:L/A:L. EPSS exploitation probability: 0.2%.

Which versions of Llama Factory are affected by CVE-2025-46567?

CVE-2025-46567 presents moderate security risk, a insecure deserialization vulnerability rated CVSS 6.1. Exploitation could compromise the security of affected deployments.. A patch is available.

Is there a public PoC exploit available for CVE-2025-46567?

Yes, a public proof-of-concept exploit is available for CVE-2025-46567. Prioritise patching immediately. EPSS: 0.2%.

How to fix or mitigate CVE-2025-46567?

Within 30 days: Identify affected systems and apply vendor patches as part of regular patch cycle. Vendor patch is available.

Llama Factory CVE-2025-46567

MEDIUM

Deserialization of Untrusted Data (CWE-502)

2025-05-01 security-advisories@github.com

Deserialization Llama Factory

6.1

CVSS 3.1 · GitHub Advisory

Severity by source

GitHub Advisory PRIMARY

6.1 MEDIUM

AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:L/A:L

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:L/A:L

Attack Vector

Local

Attack Complexity

Low

Privileges Required

Low

User Interaction

Required

Scope

Unchanged

Confidentiality

High

Integrity

Low

Availability

Low

Lifecycle Timeline

Analysis Generated

Mar 28, 2026 - 18:39 vuln.today

Patch released

Mar 28, 2026 - 18:39 nvd

Patch available

PoC Detected

Jun 17, 2025 - 14:19 vuln.today

Public exploit code

CVE Published

May 01, 2025 - 18:15 nvd

MEDIUM 6.1

Blast Radius

ecosystem impact

† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth

1 pypi packages depend on llamafactory (1 direct, 0 indirect)

Ecosystem-wide dependent count for version 0.9.3.

DescriptionGitHub Advisory

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.

AnalysisAI

LLama Factory enables fine-tuning of large language models. Rated medium severity (CVSS 6.1), this vulnerability is low attack complexity. Public exploit code available.

Technical ContextAI

This vulnerability is classified as Deserialization of Untrusted Data (CWE-502), which allows attackers to execute arbitrary code through malicious serialized objects. 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. Affected products include: Hiyouga Llama-Factory. Version information: version 1.0.0.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Avoid deserializing untrusted data. Use safe serialization formats (JSON). Implement integrity checks and type allowlists.