hiyouga CVE Vulnerabilities & Metrics

Focus on hiyouga vulnerabilities and metrics.

Last updated: 29 Jun 2025, 22:25 UTC

About hiyouga Security Exposure

This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with hiyouga. We track both calendar-based metrics (using fixed periods) and rolling metrics (using gliding windows) to give you a comprehensive view of security trends and risk evolution. Use these insights to assess risk and plan your patching strategy.

For a broader perspective on cybersecurity threats, explore the comprehensive list of CVEs by vendor and product. Stay updated on critical vulnerabilities affecting major software and hardware providers.

Global CVE Overview

Total hiyouga CVEs: 1
Earliest CVE date: 01 May 2025, 18:15 UTC
Latest CVE date: 01 May 2025, 18:15 UTC

Latest CVE reference: CVE-2025-46567

Rolling Stats

30-day Count (Rolling): 0
365-day Count (Rolling): 1

Calendar-based Variation

Calendar-based Variation compares a fixed calendar period (e.g., this month versus the same month last year), while Rolling Growth Rate uses a continuous window (e.g., last 30 days versus the previous 30 days) to capture trends independent of calendar boundaries.

Variations & Growth

Month Variation (Calendar): -100.0%
Year Variation (Calendar): 0%

Month Growth Rate (30-day Rolling): -100.0%
Year Growth Rate (365-day Rolling): 0.0%

Monthly CVE Trends (current vs previous Year)

Annual CVE Trends (Last 20 Years)

Critical hiyouga CVEs (CVSS ≥ 9) Over 20 Years

CVSS Stats

Average CVSS: 0.0

Max CVSS: 0

Critical CVEs (≥9): 0

CVSS Range vs. Count

Range Count
0.0-3.9 1
4.0-6.9 0
7.0-8.9 0
9.0-10.0 0

CVSS Distribution Chart

Top 5 Highest CVSS hiyouga CVEs

These are the five CVEs with the highest CVSS scores for hiyouga, sorted by severity first and recency.

All CVEs for hiyouga

CVE-2025-46567 hiyouga vulnerability CVSS: 0 01 May 2025, 18:15 UTC

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.