CVE-2026-72777

8.6

DayuanJiang · next-ai-draw-io

A Server-Side Request Forgery (SSRF) vulnerability in next-ai-draw-io allows remote, unauthenticated attackers to perform unauthorized requests by exploiting DNS rebinding in the URL parsing logic.

Executive summary

The next-ai-draw-io application is vulnerable to Server-Side Request Forgery, potentially allowing attackers to access internal network resources.

Vulnerability

This is a Server-Side Request Forgery (CWE-918) vulnerability occurring in the parse-url function. The flaw is unauthenticated, allowing remote attackers to bypass network controls and interact with internal services.

Business impact

An attacker can leverage this vulnerability to probe internal network infrastructure, bypass firewalls, or interact with sensitive internal APIs that are not exposed to the public internet. Given the CVSS score of 8.6, this vulnerability poses a high risk to the overall network security posture by potentially exposing internal services to unauthorized interaction.

Remediation

Immediate Action: As no specific patch version is listed, users should monitor the project repository for updates and restrict network access to the host running the application.

Proactive Monitoring: Review firewall and proxy logs for unusual outbound connection attempts originating from the server hosting the application.

Compensating Controls: Implement strict network segmentation or egress filtering to prevent the application server from initiating connections to sensitive internal resources.

Exploitation status

Public Exploit Available: No (exploit_available: false)

Analyst recommendation

Because this vulnerability allows an attacker to bypass network perimeters, it should be treated with high urgency. If an official patch is not yet available, organizations must apply aggressive network-level restrictions to isolate the application until a fix is released.