Executive Summary
| Informations | |||
|---|---|---|---|
| Name | CVE-2025-46567 | First vendor Publication | 2025-05-01 |
| Vendor | Cve | Last vendor Modification | 2025-06-17 |
Security-Database Scoring CVSS v3
| Cvss vector : CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H | |||
|---|---|---|---|
| Overall CVSS Score | 7.8 | ||
| Base Score | 7.8 | Environmental Score | 7.8 |
| impact SubScore | 5.9 | Temporal Score | 7.8 |
| Exploitabality Sub Score | 1.8 | ||
| Attack Vector | Local | Attack Complexity | Low |
| Privileges Required | None | User Interaction | Required |
| Scope | Unchanged | Confidentiality Impact | High |
| Integrity Impact | High | Availability Impact | High |
| Calculate full CVSS 3.0 Vectors scores | |||
Security-Database Scoring CVSS v2
| Cvss vector : | |||
|---|---|---|---|
| Cvss Base Score | N/A | Attack Range | N/A |
| Cvss Impact Score | N/A | Attack Complexity | N/A |
| Cvss Expoit Score | N/A | Authentication | N/A |
| Calculate full CVSS 2.0 Vectors scores | |||
Detail
| 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. |
Original Source
| Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-46567 |
CPE : Common Platform Enumeration
| Type | Description | Count |
|---|---|---|
| Application | 1 |
Sources (Detail)
| Source | Url |
|---|
Alert History
| Date | Informations |
|---|---|
| 2025-06-17 21:20:51 |
|
| 2025-05-27 02:58:12 |
|
