What is the CVSS score of CVE-2025-55853?

CVE-2025-55853 has a CVSS 3.1 base score of 9.1 (Critical). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N. EPSS exploitation probability: 0.0%.

Which versions of Webpdf are affected by CVE-2025-55853?

SoftVision webPDF versions before 10.0.2 contain a critical vulnerability allowing attackers to upload malicious files that expose internal network resources and enable reconnaissance attacks.

How to fix or mitigate CVE-2025-55853?

Within 24 hours: Identify all systems running webPDF and their versions; immediately restrict file upload access to trusted users only and disable public upload functionality if possible. Within 7 days: Implement network-level controls isolating webPDF servers from sensitive internal resources; deploy Web Application Firewall (WAF) rules blocking HTTP/file protocol requests in uploaded content. Within 30 days: Upgrade to webPDF 10.0.2 or later as soon as available; conduct full network audit for unauthorized access attempts; review and strengthen access controls on file upload features.

Webpdf CVE-2025-55853

CRITICAL

Server-Side Request Forgery (SSRF) (CWE-918)

2026-02-19 cve@mitre.org

SSRF Webpdf

9.1

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

9.1 CRITICAL

AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

None

Lifecycle Timeline

Analysis Generated

Mar 12, 2026 - 22:03 vuln.today

CVE Published

Feb 19, 2026 - 15:16 nvd

CRITICAL 9.1

DescriptionCVE.org

SoftVision webPDF before 10.0.2 is vulnerable to Server-Side Request Forgery (SSRF). The PDF converter function does not check if internal or external resources are requested in the uploaded files and allows for protocols such as http:// and file:///. This allows an attacker to upload an XML or HTML file in the application, which when rendered to a PDF allows for internal port scanning and Local File Inclusion (LFI).