Focus on apryse vulnerabilities and metrics.
Last updated: 15 Feb 2026, 23:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with apryse. 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 apryse CVEs: 2
Earliest CVE date: 22 Jan 2026, 17:15 UTC
Latest CVE date: 22 Jan 2026, 18:16 UTC
Latest CVE reference: CVE-2025-56590
30-day Count (Rolling): 2
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 apryse, sorted by severity first and recency.
An issue was discovered in the InsertFromURL() function of the Apryse HTML2PDF SDK thru 11.10. This vulnerability could allow an attacker to execute arbitrary operating system commands on the local server.
A Local File Inclusion (LFI) and a Server-Side Request Forgery (SSRF) vulnerability was found in the InsertFromHtmlString() function of the Apryse HTML2PDF SDK thru 11.6.0. These vulnerabilities could allow an attacker to read local files on the server or make arbitrary HTTP requests to internal or external services. Both vulnerabilities could lead to the disclosure of sensitive data or potential system takeover.