7.8
CVE-2025-46567
- EPSS 0.23%
- Veröffentlicht 01.05.2025 17:20:41
- Zuletzt bearbeitet 17.06.2025 14:19:39
- Quelle security-advisories@github.com
- CVE-Watchlists
- Unerledigt
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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Hiyouga ≫ Llama-factory Version < 1.0.0
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.23% | 0.457 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| nvd@nist.gov | 7.8 | 1.8 | 5.9 |
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
|
| security-advisories@github.com | 6.1 | 1.3 | 4.7 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:L/A:L
|
CWE-502 Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.