CVE-2025-46567
May 1, 2025, 6:15 p.m.
6.1
Medium
Description
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.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Llama Factory |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-502
Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | llama_factory | llama_factory | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: LOCAL
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: LOW
- Availability Impact: LOW
CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:L/A:L
Timeline
Published: May 1, 2025, 6:15 p.m.
Last Modified: May 1, 2025, 6:15 p.m.
Last Modified: May 1, 2025, 6:15 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.