hliu CVE Vulnerabilities & Metrics

Focus on hliu vulnerabilities and metrics.

Last updated: 16 Apr 2025, 22:25 UTC

About hliu Security Exposure

This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with hliu. 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 hliu CVEs: 1
Earliest CVE date: 20 Mar 2025, 10:15 UTC
Latest CVE date: 20 Mar 2025, 10:15 UTC

Latest CVE reference: CVE-2024-9311

Rolling Stats

30-day Count (Rolling): 1
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): 0%
Year Variation (Calendar): 0%

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

Monthly CVE Trends (current vs previous Year)

Annual CVE Trends (Last 20 Years)

Critical hliu 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 hliu CVEs

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

All CVEs for hliu

CVE-2024-9311 hliu vulnerability CVSS: 0 20 Mar 2025, 10:15 UTC

A Cross-Site Request Forgery (CSRF) vulnerability in haotian-liu/llava v1.2.0 (LLaVA-1.6) allows an attacker to upload files with malicious content without authentication or user interaction. The uploaded file is stored in a predictable path, enabling the attacker to execute arbitrary JavaScript code in the context of the victim's browser by visiting the crafted file URL. This can lead to theft of sensitive information, session hijacking, or other actions compromising the security and privacy of the victim.