CVE Tools

CVE-2026-49865

Kimai has Server-Side Request Forgery in Invoice PDF Rendering via Markdown Image URLs

Published: Sep 11, 2026Updated: Sep 23, 2026 Sources: CVE List NVDCWE-918

Description

Kimai is an open-source time tracking application. Versions prior to 2.58.0 contain a server-side request forgery vulnerability in their invoice PDF preview and generation workflow. If an attacker can control Markdown content that is later rendered into an invoice PDF, such as `Customer.invoiceText`, the server-side PDF renderer will fetch remote image URLs embedded in Markdown image syntax. This allows the application server to issue outbound requests to attacker-controlled or internal targets during PDF rendering. The behavior can be used for internal network probing, server-side reachability checks, and potentially follow-on exploitation depending on deployment environment and accessible internal services. Version 2.58.0 patches the issue.

No summary for this CVE yet.

Weaknesses

Affected Products

Exploitability

No known exploits, KEV entries, or remediation guidance available for this vulnerability yet.

Attack Graph

Products CVE Techniques Tactics

Click technique nodes for MITRE ATT&CK details · drag to pan · Ctrl/⌘ + scroll to zoom, or go fullscreen.

MITRE ATT&CK

2 techniques
Command and Control
Initial Access
View detailed technique mapping

References

Unlock Complete Vulnerability Intelligence

Get the full picture for CVE-2026-49865 and every CVE in our database. Create a free account — no credit card required.

Create Free Account
Plain-language analysis
Impact assessment and exploitation scenario in plain English
Attack graph visualization
Interactive attack path and kill chain mapping
Exploit details & PoC links
ExploitDB, Metasploit, GitHub PoCs with direct links
Nuclei scanner templates
Ready-to-use vulnerability scanner templates
Full remediation guide
Patch instructions, workarounds, and compliance impact
Interactive AI chat
Ask questions about this vulnerability in natural language
Related vulnerabilities
Semantically similar CVEs and attack patterns
REST API & MCP access
Integrate vulnerability data into your workflows

We use analytics cookies to see which pages and articles actually help people. Decline and none of them run — the site works the same. What we store