Focus on zylon vulnerabilities and metrics.
Last updated: 08 Mar 2025, 23:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with zylon. 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.
Total zylon CVEs: 2
Earliest CVE date: 06 Jun 2024, 19:16 UTC
Latest CVE date: 27 Jun 2024, 19:15 UTC
Latest CVE reference: CVE-2024-5935
30-day Count (Rolling): 0
365-day Count (Rolling): 2
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.
Month Variation (Calendar): 0%
Year Variation (Calendar): 0%
Month Growth Rate (30-day Rolling): 0.0%
Year Growth Rate (365-day Rolling): 0.0%
Average CVSS: 0.0
Max CVSS: 0
Critical CVEs (≥9): 0
Range | Count |
---|---|
0.0-3.9 | 2 |
4.0-6.9 | 0 |
7.0-8.9 | 0 |
9.0-10.0 | 0 |
These are the five CVEs with the highest CVSS scores for zylon, sorted by severity first and recency.
A Cross-Site Request Forgery (CSRF) vulnerability in version 0.5.0 of imartinez/privategpt allows an attacker to delete all uploaded files on the server. This can lead to data loss and service disruption for the application's users.
A Server-Side Request Forgery (SSRF) vulnerability exists in the file upload section of imartinez/privategpt version 0.5.0. This vulnerability allows attackers to send crafted requests that could result in unauthorized access to the local network and potentially sensitive information. Specifically, by manipulating the 'path' parameter in a file upload request, an attacker can cause the application to make arbitrary requests to internal services, including the AWS metadata endpoint. This issue could lead to the exposure of internal servers and sensitive data.